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Posts from the ‘Zero Trust Security’ Category

Dissecting The SolarWinds Hack For Greater Insights With A Cybersecurity Evangelist

Dissecting The SolarWinds Hack For Greater Insights With A Cybersecurity Evangelist

Bottom Line: Cyberattacks enter a new era of lethal impact when threat actors are sophisticated enough to compromise SolarWind’s software supply chain with infected binary code while mimicking legitimate protocol traffic to avoid detection.

To gain greater insights into the SolarWinds breach, its implications on cybersecurity strategy in the future and what steps enterprises need to take today, I contacted Andy Smith, Cybersecurity Evangelist and an industry expert with Centrify. He explained the attack’s specifics, referencing the Cybersecurity and Infrastructure Security Agency’s (CISA) Alert AA20-352A, which details how sophisticated the attack is, citing the sobering fact that it is unknown if all attack vectors are identified. Active since at least March 2020, the advanced persistent threat (APT) has been identified by FireEye, SolarWinds, Microsoft and several other cybersecurity firms.

SolarWinds’ Security Advisory lists 18 known products that have been affected by the attack, including their Application Centric Monitor (ACM), Server Configuration Monitor (SCM) and Network Performance Monitor (NPM). Earlier this month, SolarWinds says the malicious code may have been delivered to nearly 18,000 customers.

Insights Into The SolarWinds Hack

Interested in dissecting the hack from a cybersecurity standpoint, I spent some time investigating the SolarWinds hack with Andy, a leading authority on Identity and Access Management (IAM), particularly around securing and managing privileged access credentials. The following is my interview with Andy:

Louis: There have been large-scale breaches before; why is this particular cybersecurity attack getting so much attention? Why is it so enormous?

Andy: What’s interesting about this particular attack is a couple of things. It follows a very traditional cyber-attack kill chain as many attacks, but the start of this one is impressive. Usually, there’s a vulnerability that allows threat actors to get into the network. What’s unique about this is the initial vulnerability is in vendor software, so it’s often now being referred to as a supply chain hack because the vulnerability was embedded as code.

The exposure to federal agencies and the attackers’ focus going after emails is especially troubling. It appears like it’s a nation/state-related incident that always heightens the exposure and is another reason it’s so large in scale. Some tools that FireEye uses for Red Team evaluation of people’s networks got exposed, so now those tools are in the hands of threat actors to do nefarious activities with them.

That’s one aspect of this hack that makes it remarkable, as sophisticated tools from FireEye are in nefarious actors’ hands. That’s one reason it’s enormous: you just gave something that was being used for good to threat actors intent on gathering as much intelligence across a supply chain of customers as they can.

Louis: How are the cyber-attack methods used in the SolarWinds hack particularly unique?

Andy: It follows a very common cyber-attack kill chain we’ve seen at Centrify for years. We ran the Anatomy of a Hack webinar earlier this year and it always starts with that initial vulnerability and getting in. What’s unique was this case is that the initial vulnerability wasn’t just, “Hey, I phished somebody’s password and logged in.” It was a vulnerability in the software build process for SolarWinds. So that’s a bit unique about how that initial vulnerability was there.

Still, once the attackers are in, the breach starts to look very traditional in the sense that they settle in, sit there for a while, scan the network, move laterally in that environment and hunt for privileged access.

All those things happened precisely by the people who investigated and then you find the data you’re going after. In some cases, it’s been software, as is the case with FireEye, or email servers, as is the case with government agencies. Attackers are patient and they wait to extract the data and then cover their tracks.

Louis: You and many others are an advocate of a layered approach to security. What is that and how would it have helped in the SolarWinds case?

Andy: For me, the biggest takeaway of this hack is that a layered approach to security is the way to go in the future in light of this hack’s sophistication. There’s no silver bullet to stop a hack this sophisticated, though. No one strategy or approach could have prevented it.

When you investigate this attack, it is pretty sophisticated and has multiple vectors to it and one has to assume there will be certain threat vectors compromised. That initial vulnerability will be there and you need those layers of security to prevent it, so you need to look at preventive controls, predictive controls and detective controls. All those need to be combined into a single, unified strategy.

For every organization looking at this hack and considering how future attacks of this sophistication will impact them, it’s a good idea to use this event as a way to get your board and executives thinking about a more resilient, hardened multilayer approach and not relying on a single solution to protect you. I see organizations using this opportunity to evaluate how a layered approach will work for their projects when it might not have been feasible to fund in the past.

It’s an extreme attack that shows how vulnerable the exposures are out there. It’s a good time to shore up your defenses. The Federal Information Processing Standard 200, or FIPS 200, the standard offers excellent guidance, including discussing the different types of layers and controls available today. Minimum Security Requirements for Federal Information and Information Systems defines the minimum security controls for federal information systems and the processes by which risk-based selection of security controls occurs.

If you dig into the National Institute of Standards and Technology (NIST) Special Publication 800-53, that gets a little deeper into the particular cyber controls you have in place. There is guidance available. You’re not out there on your own about what the layers should be and you can evaluate yourself against these standards.

Louis: What are some layers specific to privileged access management? Are there any particular PAM best practices that enterprises should be thinking about right now?

Andy: Absolutely and I’ll start with Privileged Access Management (PAM), which is one of the core layers. Investigations into this hack found specific evidence where they got in and created new accounts with elevated privileges to access data. It’s all over this.

We typically state the Forrester stat that 80% of hacks involve compromised privileged access. This SolarWinds example is no exception: that’s what happened.

Additional points to keep in mind include the following:

  • Before our interview, we talked about how vulnerable passwords are and how using the company’s name, followed by 123, is not a good idea – that ties into going pro with preventive controls rather than just relying on a password. That’s a perfect example of what not to do. Organizations can design preventive privileged access controls and detective controls and both are typically provided in Privileged Access Management solutions. Best practices call for multiple preventive controls – strong passwords, multi-factor authentication, password rotation, maybe use a federated credential and have privileged users log in as themselves for better auditing and accountability.
  • Rethink enterprise cybersecurity from a preventive control perspective that includes least privileged access. Simplistic preventive controls aren’t enough, as the sophistication of this hack shows. Preventive controls need to be strengthened with least privilege. The account creation process needs to provide as little privilege as possible to the server level. Workflows to request additional access need to be used to provide resources for a predefined period. If these types of controls had been in place, malicious code disguised in executable files and dynamic linked libraries would not have traveled as far down the supply chain.
  • Lastly, even if threat actors get through or you don’t have enough of those layers in place, you want detective controls. PAM solutions should have audit capabilities that watch what privileged users do. In the financial markets, there are things like the “four-eye principle,” where people are watching what other people are doing and so you can watch a privileged session in real-time and verify what users are doing. Of course, all that’s audited in the recording. You can send that information off to a SIEM to be correlated with other data to look for compromise indicators. Recent articles I’ve read pointed out the attackers were in the FireEye network for months before being detected. FireEye detected that they had been attacked thanks to detective controls.

Louis: The SolarWinds attack seems to have rejuvenated the case for Zero Trust. How can companies adopt a Zero Trust mindset and take stock of their security layers today?

Andy: Definitely and I see organizations accelerate their Zero Trust initiatives today. Organizations can get started on their Zero Trust frameworks by reviewing the FIPS and NIST publications. Review the layers of your security stack with a Zero Trust mindset. Don’t configure your network to trust someone just because they gained access. That’s how these attackers got in, laying in the network for plenty of time. Zero Trust says, “Don’t trust that authenticated network access. That could still be a compromised credential or a threat actor,” and this is a perfect example of that. This is why Zero Trust is critical: just because they’re on your network doesn’t mean they’re trustworthy.

The concept of least privilege, of authenticating at each step, introduces segmentation. When I give access, it’s just to that machine or that service that I need access to and not broad access across the network a network segment. That’s how you prevent that lateral movement. A Zero Trust mindset that Zero Trust philosophy of security is critical in this case.

Louis: What do you think will happen from the perspective of micro-segmentation and how does this hack change the balance of security relative to ongoing operations of a business?

Andy: I think it’s another evidence of our current breach culture and brings forth more awareness. More and more, events like this will make cybersecurity a higher priority in an organization – one essential to excel at to keep a business operating. So from that perspective, it is a business enabler.

If you do it right, you can start to do things like moving to the cloud and start to do things that make you more agile. The more we can think of security as a business enabler instead of a business blocker, the better we are. Taking the lessons learned from this hack and using them to create a more resilient, hardened organization is a start.

Conclusion

80% of hacks involve the use of compromised privileged credentials and this one is no exception. An important layer of control is Privileged Access Management (PAM) solutions such as Centrify, which typically involve predictive, preventive and detective controls.

In the end, it is security layers and vigilance that make the difference in minimizing the impact of a breach. NIST’s guidance can be constructive in cybersecurity planning, which can also be informed by Zero Trust’s principles. Remember, it’s not a question of if you will be hacked. It’s a matter of when and what you can do to limit the impact through layers.

What Are The Fastest Growing Cybersecurity Skills In 2021?

  • Cybersecurity professionals with cloud security skills can gain a $15,025 salary premium by capitalizing on strong market demand for their skills in 2021.  
  • DevOps and Application Development Security professionals can expect to earn a $12,266 salary premium based on their unique, in-demand skills.
  • 413,687 job postings for Health Information Security professionals were posted between October 2019 to September 2020, leading all skill areas in demand.  

Cybersecurity’s fastest-growing skill areas reflect the high priority organizations place on building secure digital infrastructures that can scale. Application Development Security and Cloud Security are far and away from the fastest-growing skill areas in cybersecurity, with projected 5-year growth of 164% and 115%, respectively. This underscores the shift from retroactive security strategies to proactive security strategies. According to The U.S. Bureau of Labor Statistics’ Information Security Analyst’s Outlook, cybersecurity jobs are among the fastest-growing career areas nationally. The BLS predicts cybersecurity jobs will grow 31% through 2029, over seven times faster than the national average job growth of 4%. 

Burning Glass, a leading labor market analytics firm, has been tracking demand for cybersecurity skills based on its database of more than one billion current and historical job postings. This week they published the results of their analysis of the top 10 cybersecurity skills for 2021. Their report of the 10 cybersecurity skills for 2021 can be downloaded here.

What Are The Fastest Growing Cybersecurity Skills In 2021?

Key takeaways from their analysis include the following:

  • Cloud Security skills are the most lucrative of all, predicted to deliver a $15,008 salary boost in 2021. Demand for specific Cloud Security skills is far outpacing the broader demand for cybersecurity skills in the labor market. Burning Glass predicts the fastest-growing skills over the next five years include Azure Security (+164%), Cloud Security Infrastructure (+144%), Google Cloud Security (+135%), Public Cloud Security (+121%), Cloud Security Architecture (+103%). There are 19,477 positions available for cybersecurity professionals with Cloud Security skills.
What Are The Fastest Growing Cybersecurity Skills In 2021?

Burning Glass Technologies: Protecting the Future: The Fastest-Growing Cybersecurity Skills October 2020

  • The fastest-growing cybersecurity skill is Application Development Security, predicted to see a 164% increase in available positions over five years. Cybersecurity professionals with Application Development Security, DevSecOps, Container Security, Microservices Security, Application Security Code Review are predicted to see an average $12,266 salary boost starting next year given the strong marketability of their skills. Like Cloud Security, market demand for Application Development Security professionals’ skillsets far outpaces average cybersecirty jobs growth over five years.
What Are The Fastest Growing Cybersecurity Skills In 2021?

Burning Glass Technologies: Protecting the Future: The Fastest-Growing Cybersecurity Skills October 2020

  • Knowing where the most cybersecurity job postings are by metro area and state provides job seekers with the insights they need to narrow their job search. Cyberseek partnered with Burning Glass to create an interactive U.S.-based heat map that shows cybersecurity positions by state or metro area. The heat map can be configured to show total job openings, supply of workers, supply/demand ratio,and location quotients. You can access the heat map here.    
What Are The Fastest Growing Cybersecurity Skills In 2021?

Burning Glass Technologies: Protecting the Future: The Fastest-Growing Cybersecurity Skills October 2020


Centrify’s New CEO Has A Compelling Vision For The Future Of Cybersecurity

Bottom Line: Flint Brenton’s vision for the future of Centrify and cybersecurity, in general, prioritizes the need for privileged access management to become core to the multi-cloud architectures and DevOps environments he sees pervading customers’ enterprises today.

Every new cybersecurity company CEO is writing their vision of the future by their decisions and the priorities they are based upon. From tech dominance to sales success, each CEO has their own long-term strategy and idea of what they and the company need to excel at to succeed.

Defining Cybersecurity As A Core Part Of DevOps

It is always fascinating to speak with new CEOs at cybersecurity companies and see what their vision for the company is after they’ve been there a few months. I recently had the opportunity to sit down and talk with Flint Brenton, who joined Centrify as President and CEO in July of this year. Flint leads the strategic direction and execution of the company’s vision drawing from an exceptional track record of accelerating growth through product innovation and sales execution. He recently served as president and CEO of CollabNet VersionOne, which pioneered the Value Stream Management market. He previously held president and CEO positions at AccelOps and Tidal Software and has successfully led engineering teams at NetIQ, Compaq, BMC Software, IBM and more.

Flint sees the needs of enterprise developers creating new apps using DevOps as pivotal to the future of Centrify, specifically and cybersecurity in general. A core part of those developers’ needs is securing privileged access management (PAM) in multi-cloud environments while supporting agile development. 

My interview with him provided five key insights into why cybersecurity will increasingly be defined by how well it can be incorporated into “DevSecOps,” and how Centrify’s vision for the future looks to capitalize on that demand and drive PAM into the DevOps pipeline to further automate built-in security practices:

  • Cybersecurity providers’ cloud-based architectural platforms will define the competitive landscape for the next several years in the industry. Since accepting the CEO role in July, Flint has been spending most of his time talking with customers to gain in-depth insights into their greatest challenges. He is hearing about the challenges customers face when attempting to make different cybersecurity vendors’ solutions work together and function in a multi-cloud architecture. “Having a clear architectural advantage where features can be added quickly is going to be key in cybersecurity for years to come,” he explained.
  • Any cybersecurity company’s vision needs to consider the speed at which infrastructure and workloads are moving from on-premise to the cloud – it’s faster than predicted. One of Centrify’s financial services customers in APAC is launching a virtual bank and wants the new venture to be entirely cloud-based. Like many Centrify customers, they are considering a multi-cloud architecture, including Amazon AWS, Google Cloud and Microsoft Azure. Flint explains they will need a security model and identity management controls that run in the cloud to accommodate their current and future computing plans. The FinTech is relying on Centrify to secure privileged access for administrators to its multi-cloud environment.
  • Viewing every enterprise customer as a software business first helps remove roadblocks to delivering more value faster. Cybersecurity companies need to consider how they can streamline DevOps and DevSecOps cycles by providing enterprise developers with new tools to integrate identity management efficiently. “The developer is now building identity management into apps and frequently those apps are built using container-based models and they are then deployed either into cloud, on-prem, or a combination of both,” Flint said.
  • Design in flexibility for the many different buying communities you’re trying to serve early on and continually monitor them to learn about what’s most valuable to them. DevOps leaders’ buying community is among the most self-sufficient, willing to download a trial, install it and buy it. Enterprise sales are more research and time-intensive. Flint observed that a company’s vision needs to encompass each buying community’s unique nature and be willing to extend platform-level features and DevOps tools if necessary.
  • Buy-in from the DevOps community will become increasingly important in cybersecurity in general and is a core part of Centrify’s vision. Prior to taking the helm at Centrify, Flint was the CEO of CollabNet VersionOne, where he helped define value stream management as a market standard. I asked him if he sees any parallels with value stream management’s success and the vision he has for Centrify. “The key with value stream management is to understand how developers wanted or needed to build software more successfully in the future. So you have to get the buy-in of the development community to include it in what they’re building, rather than making an appetite of adding it after it’s already been deployed. So I think that’s a major focus in the DevSecOps market. Make it part of what is built. Don’t allow it to become an afterthought,” Flint said. The future of cybersecurity will increasingly be defined by how easily Identity Access Management (IAM) and Privileged Access Management (PAM) can be designed at the beginning of DevOps and DevSecOps cycles.

Conclusion

What I find most compelling about his vision is how essential every person is to breaking apart complex cybersecurity problems and solving them. Flint’s vision of providing DevOps teams with the tools they need to design in identity access management is groundbreaking. No one is talking about design wins in this area of the market today.

Centrify is quickly turning into a company that actively seeks out their customers’ most difficult obstacles and uses them to challenge itself to grow and do excellent work. They are looking for cybersecurity leaders with cloud-based development skills, AI skills and automation skills who are up for the challenge.

What’s New In Gartner’s Hype Cycle For Endpoint Security, 2020

What’s New In Gartner’s Hype Cycle For Endpoint Security, 2020

  • Remote working’s rapid growth is making endpoint security an urgent priority for all organizations today.
  • Cloud-first deployment strategies dominate the innovations on this year’s Hype Cycle for Endpoint Security.
  • Zero Trust Security (ZTNA) is gaining adoption in enterprises who realize identities are the new security perimeter of their business.
  • By 2024, at least 40% of enterprises will have strategies for adopting Secure Access Service Edge (SASE) up from less than 1% at year-end 2018.

These and many other new insights are from Gartner Hype Cycle for Endpoint Security, 2020 published earlier this year and the recent announcement, Gartner Says Bring Your Own PC Security Will Transform Businesses within the Next Five Years. Gartner’s definition of Hype Cycles includes five phases of a technology’s lifecycle and is explained here.  There are 20 technologies on this year’s Hype Cycle for Endpoint Security. The proliferation of endpoint attacks, the rapid surge in remote working, ransomware, fileless and phishing attacks are together, creating new opportunities for vendors to fast-track innovation. Cloud has become the platform of choice for organizations adopting endpoint security today, as evidenced by the Hype Cycle’s many references to cloud-first deployment strategies.  The Gartner Hype Cycle for Endpoint Security, 2020, is shown below:

What’s New In Gartner’s Hype Cycle For Endpoint Security, 2020

 

Details Of What’s New In Gartner’s Hype Cycle for Endpoint Security, 2020

  • Five technologies are on the Hype Cycle for the first time reflecting remote working’s rapid growth and the growing severity and sophistication of endpoint attacks. Unified Endpoint Security, Extended Detection and Response, Business E-Mail Compromise Protection, BYOPC Security and Secure Access Service Edge (SASE) are the five technologies added this year. Many organizations are grappling with how to equip their remote workforces with systems, devices and smartphones, with many reverting to have employees use their own. Bring your PC (BYOPC) has become so dominant so fast that Gartner replaced BYOD on this year’s Hype Cycle with the new term. Gartner sees BYOPC as one of the most vulnerable threat surfaces every business has today. Employees’ devices accessing valuable data and applications continues to accelerate without safeguards in place across many organizations.
  • Extended detection and response (XDR) are on the Hype Cycle for the first time, reflecting the trend of vendor consolidation across cybersecurity spending today. Gartner defines XDR as a vendor-specific, threat detection and incident response tool that unifies multiple security products into a security operations system. XDR and its potential to reduce the total cost and complexity of cybersecurity infrastructures is a dominant theme throughout this year’s Hype Cycle. XDR vendors are claiming that their integrated portfolios of detection and response applications deliver greater accuracy and prevention than stand-alone systems, driving down Total Cost of Ownership (TCO) and increasing productivity. Key vendors in XDR include Cisco, FireEye, Fortinet, McAfee, Microsoft, Palo Alto Networks, Sophos, Symantec and Trend Micro.
  • Business email compromise (BEC) protection is on the Hype Cycle for the first time this year. Phishing attacks cost businesses $1.8B in 2019, according to the FBI, underscoring the need for better security in the area of business email. Gartner defines business email compromise (BEC) protection as a series of solutions that detect and filter malicious emails that fraudulently impersonate business associates to misdirect funds or data. There have been many instances of business email compromise attacks focused on C-level executives, hoping that a fraudulent directive from them to subordinates leads to thousands of dollars being transferred to outside accounts or being sent in gift cards. Gartner found that fraudulent invoices accounted for 39% of such attacks in 2018, posing an internal risk to organizations and reputation risk.
  • Unified Endpoint Security (UES) is being driven by IT organizations’ demand for having a single security console for all security events. Gartner notes that successful vendors in UES will be those that can demonstrate significant productivity gains from the integration of security and operations and those that can rapidly process large amounts of data to detect previously unknown threats. CIOs and CISOs are looking for a way to integrate UES and Unified Endpoint Management (UEM), so their teams can have a single, comprehensive real-time console of all devices that provides alerts of any security events. The goal is to adjust security policies across all devices. Absolute’s approach to leveraging their unique persistence, resilience and intelligence capabilities are worth watching. Their approach delivers unified endpoint security by relying on their Endpoint Resilience platform that includes a permanent digital tether to every endpoint in the enterprise. By having an undeletable digital thread to every device, Absolute is enabling self-healing, greater visibility and control. Based on conversations with their customers in Education and Healthcare, Absolute’s unique approach gives IT complete visibility into where every device is at all times and what each device configuration looks like in real-time.
  • Unified Endpoint Management (UEM) is expanding rapidly beyond managing PCs and mobile devices to provide greater insights from endpoint analytics and deeper integration Identity and Access Management. Gartner notes interest in UEM remains strong and use-case-driven across their client base. UEM’s many benefits, including streamlining continuous OS updates across multiple mobile platforms, enabling device management regardless of the connection and having an architecture capable of supporting a wide range of devices and operating systems are why enterprises are looking to expand their adoption of UEM. Another major benefit enterprises mention is automating Internet-based patching, policy, configuration management. UEM leaders include MobileIron, whose platform reflects industry leadership with its advanced unified endpoint management (UEM) capabilities. MobileIron provides customers with additional security solutions integrated to their UEM platform, including passwordless multi-factor authentication (Zero Sign-On) and mobile threat defense (MTD). MTD is noteworthy for its success at MobileIron customers who need to validate devices at scale, establish user context, verify network connections, then detect and remediate threats.
  •  Gartner says ten technologies were either removed or replaced in the Hype Cycle because they’ve evolved into features of broader technologies or have developed into tools that address more than security. The ten technologies include protected browsers, DLP for mobile devices, managed detection and response, user and entity behavior analytics, IoT security, content collaboration platforms, mobile identity, user authentication, trusted environments and BYOD being replaced by BYOPC.

 

5 Ways Machine Learning Can Thwart Phishing Attacks

5 Ways Machine Learning Can Thwart Phishing Attacks

Mobile devices are popular with hackers because they’re designed for quick responses based on minimal contextual information. Verizon’s 2020 Data Breach Investigations Report (DBIR) found that hackers are succeeding with integrated email, SMS and link-based attacks across social media aimed at stealing passwords and privileged access credentials. And with a growing number of breaches originating on mobile devices according to Verizon’s Mobile Security Index 2020, combined with 83% of all social media visits in the United States are on mobile devices according to Merkle’s Digital Marketing Report Q4 2019, applying machine learning to harden mobile threat defense deserves to be on any CISOs’ priority list today.

How Machine Learning Is Helping To Thwart Phishing Attacks

Google’s use of machine learning to thwart the skyrocketing number of phishing attacks occurring during the Covid-19 pandemic provides insights into the scale of these threats. On a typical day, G-Mail blocks 100 million phishing emails. During a typical week in April of this year, Google’s G-Mail Security team saw 18M daily malware and phishing emails related to Covid-19. Google’s machine learning models are evolving to understand and filter phishing threats, successfully blocking more than 99.9% of spam, phishing and malware from reaching G-Mail users. Microsoft thwarts billions of phishing attempts a year on Office365 alone by relying on heuristics, detonation and machine learning strengthened by Microsoft Threat Protection Services.

42% of the U.S. labor force is now working from home, according to a recent study by the Stanford Institute for Economic Policy Research (SIEPR). The majority of those working from home are in professional, technical and managerial roles who rely on multiple mobile devices to get their work done. The proliferating number of threat surfaces all businesses have to contend with today is the perfect use case for thwarting phishing attempts at scale.

What’s needed is a machine learning engine capable of analyzing and interpreting system data in real-time to identify malicious behavior. Using supervised machine learning algorithms that factor in device detection, location, user behavior patterns and more to anticipate and thwart phishing attacks is what’s needed today. It’s a given that any machine learning engine and its supporting platform needs to be cloud-based, capable of scaling to analyze millions of data points. Building the cloud platform on high-performing computing clusters is a must-have, as is the ability to iterative machine learning models on the fly, in milliseconds, to keep learning new patterns of potential phishing breaches. The resulting architecture would be able to learn over time and reside on the device recursively. Protecting every endpoint if it’s connected to WiFi or a network or not is a key design goal that needs to be accomplished as well. MobileIron recently launched one of the most forward-thinking approaches to solving this challenge and its architecture is shown below:

5 Ways Machine Learning Can Thwart Phishing Attacks

Five Ways Machine Learning Can Thwart Phishing Attacks 

The one point of failure machine learning-based anti-phishing apps continue to have is lack of adoption. CIOs and CISOs I’ve spoken with know there is a gap between endpoints secured and the total endpoint population. No one knows for sure how big that gap is because new mobile endpoints get added daily. The best solution to closing the gap is by enabling on-device machine learning protection. The following are five ways machine learning can thwart phishing attacks using an on-device approach:

1.    Have machine learning algorithms resident on every mobile device to detect threats in real-time even when a device is offline.  Creating mobile apps that include supervised machine learning algorithms that can assess a potential phishing risk in less than a second is what’s needed. Angular, Python, Java, native JavaScript and C++ are efficient programming languages to provide detection and remediation, so ongoing visibility into any malicious threat across all Android and iOS mobile devices can be tracked, providing detailed analyses of phishing patterns. The following is an example of how this could be accomplished:

5 Ways Machine Learning Can Thwart Phishing Attacks

2.    Using machine learning to glean new insights out of the massive amount of data and organizations’ entire population of mobile devices creates a must-have.  There are machine learning-based systems capable of scanning across an enterprise of connected endpoints today. What’s needed is an enterprise-level approach to seeing all devices, even those disconnected from the network.

3.    Machine learning algorithms can help strengthen the security on every mobile device, making them suitable as employees’ IDs, alleviating the need for easily-hackable passwords. According to Verizon, stolen passwords cause 81% of data breaches and 86% of security leaders would do away with passwords, if they could, according to a recent IDG Research survey. Hardening endpoint security to the mobile device level needs to be part of any organizations’ Zero Trust Security initiative today. The good news is machine learning algorithms can thwart hacking attempts that get in the way making mobile devise employees’ IDs, streamlining system access to the resources they need to get work done while staying secure.

4.    Keeping enterprise-wide cybersecurity efforts focused takes more than after-the-fact analytics and metrics; what’s needed is look-ahead predictive modeling based machine learning data captured at the device endpoint.  The future of endpoint resiliency and cybersecurity needs to start at the device level. Capturing data at the device level in real-time and using it to train algorithms, combined with phishing URL lookup, and Zero Sign-On (ZSO) and a designed-in Zero Trust approach to security are essential for thwarting the increasingly sophisticated breach attempts happening today.

5.    Cybersecurity strategies and the CISOs leading them will increasingly be evaluated on how well they anticipate and excel at compliance and threat deterrence, making machine learning indispensable to accomplishing these tasks. CISOs and their teams say compliance is another area of unknowns they need greater predictive, quantified insights into. No one wants to do a compliance or security audit manually today as the lack of staff due to stay-at-home orders makes it nearly impossible and no one wants to jeopardize employee’s health to get it done.  CISOs and teams of security architects also need to put as many impediments in front of threat actors as possible to deter them, because the threat actor only has to be successful one time, while the CISO/security architect have to be correct 100% of the time. The answer is to combine real-time endpoint monitoring and machine learning to thwart threat actors while achieving greater compliance.

Conclusion

For machine learning to reach its full potential at blocking phishing attempts today and more advanced threats tomorrow, every device needs to have the ability to know if an email, text or SMS message, instant message, or social media post is a phishing attempt or not. Achieving this at the device level is possible today, as MobileIron’s recently announced cloud-based Mobile Threat Defense architecture illustrates. What’s needed is a further build-out of machine learning-based platforms that can adapt fast to new threats while protecting devices that are sporadically connected to a company’s network.

Machine learning has long been able to provide threat assessment scores as well. What’s needed today is greater insights into how risk scores relate to compliance. Also, there needs to be a greater focus on how machine learning, risk scores, IT infrastructure and the always-growing base of mobile devices can be audited. A key goal that needs to be achieved is having compliance actions and threat notifications performed on the device to shorten the “kill chain” and improve data loss prevention.

Why Security Needs To Be Integral To DevOps

Why Security Needs To Be Integral To DevOps

Bottom Line: DevOps and security teams need to leave one-time gating inspections in the past and pursue a more collaborative real-time framework to achieve their shared compliance, security and time-to-market goals.

Shorter product lifecycles the need to out-innovate competitors and exceed customer expectations with each new release are a few of the many reasons why DevOps is so popular today. Traditional approaches to DevOps teams collaborating with security aren’t working today and product releases are falling behind or being rushed to-market leading to security gaps as a result.

Based on conversations with DevOps team leaders and my own experience being on a DevOps team the following are factors driving the urgency to integrate security into DevOps workflows:

  • Engineering, DevOps and security teams each have their lexicon and way of communicating reinforced by siloed systems.
  • Time-to-market and launch delays are common when engineering, DevOps and security don’t have a unified system to use that includes automation tools to help scale tasks and updates.
  • Developers are doing Application Security Testing (AST) with tools that aren’t integrated into their daily development environments, making the process time-consuming and challenging to get done.
  • Limiting security to the testing and deployment phases of the Software Development Lifecycle (SDLC) is a bottleneck that jeopardizes the critical path, launch date and compliance of any new project.
  • 70% of DevOps team members have not been trained on how to secure software adequately according to a DevSecOps Global Skills survey.

Adding to the urgency is the volume of builds DevOps teams produce in software companies and enterprises daily and the need for having security integrated into DevOps becomes clear. Consider the fact that Facebook on Android alone does 50,000 to 60,000 builds a day according to research cited from Checkmarx who is taking on the challenge of integrating DevOps and security into a unified workflow. Their Software Security Platform unifies DevOps with security and provides static and interactive application security testing, newly launched software composition analysis and developer AppSec awareness and training programs to reduce and remediate risk from software vulnerabilities.

Synchronizing Security Into DevOps Delivers Much Needed Speed & Scale

DevOps teams thrive in organizations built for speed, continuous integration, delivery and improvement. Contrast the high-speed always-on nature of DevOps teams with the one-time gating inspections security teams use to verify regulatory, industry and internal security and compliance standards and it’s clear security’s role in DevOps needs to change. Integrating security into DevOps is proving to be very effective at breaking through the roadblocks that stand in the way of getting projects done on time and launched into the market.  Getting the security and DevOps team onto the same development platform is needed to close the gaps between the two teams and accelerate development. Of the many approaches available for accomplishing this Checkmarx’s approach to integrating Application Security Testing into DevOps shown below is among the most comprehensive:

Why Security Needs To Be Integral To DevOps

Making DevOps A Core Strength Of An Organization

By 2025 nearly two-thirds of enterprises will be prolific software producers with code deployed daily to meet constant demand and over 90% of new apps will be cloud-native, enabling agility and responsiveness according to IDC FutureScape: Worldwide IT Industry 2020 Predictions. IDC also predicts there will be 1.6 times more developers than now, all working in collaborative systems to enable innovation. The bottom line is that every company will be a technology company in the next five years according to IDC’s predictions.

To capitalize on the pace of change happening today driven by DevOps, organizations need frameworks that deliver the following:

  • Greater agility and market responsiveness – Organizations need to create operating models that integrate business, operations and technology into stand-alone businesses-within-the-business domains.
  • Customer Centricity at the core of business models – The best organizations leverage a connected economy to ensure that they can meet and exceed customer expectations.  By creating an ecosystem that caters to every touchpoint of the customer journey using technology, these organizations seem to anticipate their customer needs and deliver the goods and services needed at the right time via the customer’s preferred channel.  As a result, successful organizations see growth from their existing customer base while they acquire new ones.
  • Have a DNA the delivers a wealth of actionable Insights – Organizations well-positioned to turn data into insights that drive actions to serve and anticipate customer needs are ahead of competitors today regarding time-to-market.  These organizations know how to pull all the relevant information, capabilities and people together so they can act quickly and efficiently in making the right decisions. They are the companies that will know the outcome of their actions before they take them and they will be able to anticipate their success.

BMC’s Autonomous Digital Enterprise framework, shown below highlights how companies that have an innovation mindset and the three common traits of agility, customer centricity and actionable insights at their foundation have greater consistency and technology maturity in their business model characteristics compared to competitors. They also can flex and support fundamental operating model characteristics and key technology-enabled tenets. These tenets include delivering a transcendent customer experience, automating customer transactions and providing automation everywhere seeing enterprise DevOps as a natural evolution of DevOps, enabling a business to be more data-driven and achieving more adaptive cybersecurity in a Zero-Trust framework.

Why Security Needs To Be Integral To DevOps

Conclusion

Meeting the challenge of integrating security in DevOps provides every organization with an opportunity to gain greater agility and market responsiveness, become more customer-centric and develop the DNA to be more data-driven. These three goals are achievable when organizations look to how they can build on their existing strengths and reinvent themselves for the future. As DevOps success goes so goes the success of any organization. Checkmarx’s approach to putting security at the center of DevOps is helping to break down the silos that exist between engineering, DevOps and security. To attain greater customer-centricity, become more data-driven and out-innovate competitors, organizations are adopting frameworks including BMC’s Autonomous Digital Enterprise to reinvent themselves and be ready to compete in the future now.

 

 

 

 

How To Build A Business Case For Endpoint Security

How To Build a Business Case for Endpoint Security

Bottom Line:  Endpoint security business cases do much more than just quantify costs and benefits; they uncover gaps in endpoint and cyber protection that need urgent attention to avert a breach.

Bad actors and hackers prefer to attack threat surfaces that are isolated, vulnerable with out-of-date security patches, yet integrated into a corporate network to provide access. For these reasons and more, endpoints are now the popular choice for hacking attempts. Ponemon Institute’s Third Annual Study on the State of Endpoint Security Risk published in January of this year found that 68% of organizations were victims of successful endpoint attacks in 2019 that compromised data assets and IT infrastructure. Since 2017, successful endpoint attacks have spiked by 26 percent. The Ponemon study also found that it takes the typical organization 97 days to test and deploy patches to each endpoint. When the average endpoint is three months behind on updates, it’s understandable why breaches are increasing. In 2019 the average endpoint breach inflicted $8.94M in losses. The following graphic compares the escalating number of breaches and economic losses for the last three years:

How To Build A Business Case For Endpoint Security

Exploring Endpoint Security’s Many Benefits

Think of building a business case for endpoint security as the checkup every company needs to examine and identify and every threat surface that can be improved. Just as all efforts to preserve every person’s health is priceless today, organizations can’t let their guard down when it comes to keeping endpoint security strong.

The economic fallout of COVID-19 is hitting IT budgets hard. That’s why now is the time to build a business case for endpoint security. CIOs and CISOs have to make budget cuts due to revenue shortfalls. One area no one wants to compromise on, however, is allowing endpoint agents to degrade over time. Absolute Software’s  Endpoint Security Trends Report found that the more complex and layered the endpoint protection, the greater the risk of a breach. Overloading every endpoint with multiple agents is counterproductive and leaves endpoints less secure than if fewer agents were installed.  Additionally, Absolute just launched a Remote Work and Distance Learning Insights Center, providing insights into the impact of COVID-19 on IT and security controls. An example of the dashboard shown below:

How To Build A Business Case For Endpoint Security

 

Business Case Benefits Need To Apply To  IT and Operations

Absolute and Ponemon’s studies suggest that autonomous endpoints are the future of endpoint security. Activating security at the endpoint and having an undeletable tether to every device solves many of the challenges every business’s IT and Operations teams face. And with the urgency to make IT and Operations as virtual as possible with budgets impacted by COVID-19’s economic fallout, team leaders in each area are focusing on the following shared challenges. COVID-19’s quarantine requirements make hybrid workforces instantly appear and make the budgets needed to support them vanish at the same time.  The following are the shared benefits for IT and Operations that need to anchor any endpoint security business case:

  • The most urgent need is for greater IT Help Desk efficiency. While this is primarily an IT metric, the lack of real-time availability of resources is slowing down remote Operations teams from getting their work done.
  • Both IT and Operations share asset utilization, loss reduction, and lifecycle optimization ownership in many organizations today. Having a persistent, undeletable tether to every device at the hardware level is proving to be an effective approach IT, and Operations teams are relying on to track and improve these metrics. The Absolute and Ponemon studies suggest that the more resilient the endpoint, the better the asset efficiency and lifecycle optimization. Autonomous endpoints can self-heal and regenerate themselves, further improving shared metric performance for IT and Operations.
  • The more autonomous endpoints an organization has, the quicker Operations and IT can work together to pivot into new business models that require virtual operations. Education, Healthcare, Financial Services, Government, and Professional Services are all moving to hybrid remote workplaces and virtual operations as fast as they can. Using the business case for endpoint security as a roadmap to see where threat surfaces need to be improved for new growth is key.

Endpoint Security Benefits 

The following are the benefits that need to be included in creating a business case for endpoint security:

  • Reduce and eventually eliminate IT Help Desk backlogs by keeping endpoints up-to-date. Reducing the call volume on IT Help Desks can potentially save over $45K a year, assuming a typical call takes 10 minutes and the cumulative time savings in 1,260 hours saved by the IT help desk annually.
  • Reduce Security Operations staff interruptions and emergency security projects that require IT’s time to run analytics reports and analyses. Solving complex endpoint security problems burns thousands of dollars and hours over a year between Security, IT, and Operations. Having a persistent, unbreakable connection to every endpoint provides the device visibility teams need to troubleshoot problems. Assuming the 2,520 hours IT Security teams alone spend on emergency endpoint security problems could be reduced, organizations could save approximately $130K a year. 
  • Autonomous endpoints with an undeletable tether improve compliance, control, and visibility and is a must-have in the new hybrid remote workplace. For endpoint security to scale across every threat surface, having an undeletable tether to every device is a must-have for scalable remote work and hybrid remote work programs in the enterprise. They also contribute to lowering compliance costs and improve every aspect of asset management from keeping applications current to ensuring autonomous endpoints can continue to self-heal.
  • Reducing IT asset loss, knowing asset utilization, and system-level software installed by every device can save a typical organization over $300K a year. Autonomous endpoints that can heal themselves and provide a constant hardware connection deliver the data in real-time to have accurate IT asset management and security data teams need to keep software configurations up to date. It’s invaluable for IT teams to have this level of data, as it averts having endpoint patches conflict with one another and leave an endpoint vulnerable to breach.
  • Accurate asset lifecycle planning based on solid data from every device becomes possible. Having autonomous endpoints based on a hardware connection delivers the data needed to increase the accuracy of asset life cycle planning and resource allocation, giving IT and Operations the visibility they need to the device level. IT and Operations teams look to see how they can extend the lifecycle of every device in the field. Cost savings vary by the number of devices in the field and their specific software configurations. The time savings alone is approximately $140K per year in a mid-size financial services firm.
  • The more autonomous and connected an endpoint is, the more automated audit and compliance reporting can become. A key part of staying in compliance is automating the audit process to save valuable time. The Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR), and the Payment Card Industry Data Security Standard (PCI DSS) all require ongoing audits. The time and cost savings of automating audits by organizations vary significantly. It’s a reasonable assumption to budget at least a $67K savings per year in audit preparation costs alone.

Evaluating Endpoint Security Costs

The following are the endpoint security costs that need to be included in the business case:

  • Annual, often multi-year endpoint security licensing costs. Endpoint security providers vary significantly in their pricing models, costs, and fees. Autonomous endpoint security platforms can range in licensing costs from $750K to over $1,2M, depending on the size of the organization and the number of devices.
  • Change management, implementation, and integration costs increase with the complexity of IT security, Operations, and IT Service Management (ITSM) integration. Expect to see an average price of between $40K to over $100K to integrate endpoint security platforms with existing ITSM and security information and event management (SIEM) systems.

Creating A Compelling Business Case For Endpoint Security

The best endpoint security business cases provide a 360-degree view of costs, benefits, and why taking action now is needed.

Knowing the initial software and services costs to acquire and integrate endpoint security across your organization, training and change management costs, and ongoing support costs are essential. Many include the following equation in their business cases to provide an ROI estimate. The Return on Investment (ROI) for endpoint security initiative is calculated as follows:

ROI on Endpoint Security (ES) = (ES Initiative Benefits – ES Initiative Costs)/ES Initiative Costs x 100.

A financial services company recently calculated their annual benefits of ES initiative will be $475,000, and the costs, $65,000, will yield a net return of $6.30 for every $1 invested.

Additional factors to keep in mind when building a business case for endpoint security:

  • The penalties for non-compliance to industry-specific laws can be quite steep, with repeated offenses leading to $1M or more in fines and long-term loss of customer trust and revenue. Building a business case for endpoint security needs to factor in the potential non-compliance fees, and penalties companies face for not having autonomous endpoint security. The Health Insurance Portability and Accountability Act (HIPAA), General Data Protection Regulation (GDPR), Payment Card Industry Data Security Standard (PCI DSS), California Consumer Privacy Act (CCPA), and other laws require audit reporting based on accurate endpoint security data.
  • Endpoint Security ROI estimates fluctuate, and it’s best to get started with a pilot to capture live data with budgets available at the end of a quarter. Typically organizations will allocate the remaining amounts of IT security budgets at the end of a quarter to endpoint security initiatives.
  • Succinctly define the benefits and costs and gain C-level support to streamline the funding process. It’s often the CISOs who are the most driven to achieve greater endpoint security the quickest they can. Today with every business having their entire workforces virtual, there’s added urgency to get endpoint security accomplished.
  • Define and measure endpoint security initiatives’ progress using a digitally-enabled dashboard that can be shared across any device, anytime. Enabling everyone supporting and involved in endpoint security initiatives needs to know what success looks like. Having a digitally-enabled dashboard that clearly shows each goal or objective and the company’s progress toward them is critical to success.

Conclusion

The hard economic reset COVID-19 created has put many IT budgets into freefall at a time when CIOs and CISOs need more funding to protect proliferating hybrid remote workforces. Endpoint security business cases need to factor in how they can create an undeletable resilient defense for every device across their global fleets. And just as every nation on the planet isn’t letting its guard down against the COVID-19 virus, every IT and cybersecurity team can’t let theirs down either when it comes to protecting every endpoint.

Autonomous endpoints that can self-heal and regenerate operating systems and configurations are the future of endpoint security management. The race to be an entirely virtual enterprise is on, and the most autonomous endpoints can be, the more cost-effective and valuable they are. The best business cases bridge the gap between IT and Operations needs. CIOs need endpoint security solutions to be low-cost, low maintenance, reliable yet agile. Operations want an endpoint solution that has a low cost of support, minimal if any impact of IT Service Help Desks, and always-on monitoring. Building a business case for endpoint security gives IT and Operations the insights they need to protect the constantly changing parameters of their businesses.

 

Five Interesting Takeaways From RSA Conference 2020

Five Interesting Takeaways From RSA Conference 2020

 

Bottom Line: Passwordless authentication, endpoint security, cloud-native SIEM platforms, and new API-based data security technologies were the most interesting tech developments, while keynotes focusing on election security, industrial control systems’ vulnerabilities and the persistent threat of state-sponsored ransomware dominated panel discussion.

This year’s RSA Conference was held February 24th to 28th in San Francisco’s Moscone Center, attracting more than 36,000 attendees, 704 speakers, and 658 exhibitors unified by the theme of the Human Element in cybersecurity. The conference’s agenda is here, with many session recordings and presentation slides available for download. Before the conference, RSA published the RSAC 2020 Trend Report (PDF, 13 pp., no opt-in). RSA received 2,400 responses to their Call for Speakers and based their report on an analysis of all submissions. The ten trends in the RSAC 2020 Trend Report are based on an analysis of all papers submitted to the conference. It’s a quick read that provides a synopsis of the main themes of the excellent sessions presented at RSAC 2020.

The following are the five most interesting takeaways from the 2020 RSA Conference:

  • Endpoint security products dominated the show floor, with over 120 vendors promoting their unique solutions. There were over 50 presentations and panels on the many forms of endpoint security as well. Instead of competing for show attendees’ attention on the show floor, Absolute Software took the unique approach of completing a survey during RASC 2020. Absolute’s team was able to interview 100 respondents, with most holding the position of a manager/supervisor or C-level executive. More than three in four respondents reported their organizations are using endpoint security tools, multi-factor authentication, and employee training and education to protect data, devices, and users. You can review their survey results here.
  • The number of vendors claiming to have Zero Trust solutions grew 50% this year, from 60 in 2019 to 91 in 2020. There continues to be a lot of hype surrounding Zero Trust, with vendors having mixed results with their product and messaging strategies in this area. A good benchmark to use for evaluating vendors in the Zero Trust market is the Forrester Wave™: Zero Trust eXtended Ecosystem Platform Providers, Q4 2019, written by Chase Cunningham and published on October 29, 2019. I’ve summarized the lessons learned in the post, What’s New on the Zero Trust Security Landscape In 2019.
  • Over 30 vendors claimed to have passwordless authentication that met the current FIDO2 standard. In keeping with the theme of this year’s RSA Conference of Human Element, vendors offering passwordless authentication were out in force. Centrify, Entrust Datacard, HID Global, Idaptive, ImageWare, MobileIron, Thales, and many others promoted their unique approaches to passwordless authentication, leveraging the FIDO2 standard. FIDO2 is the latest set of specifications from the FIDO Alliance, an industry standards organization that provides interoperability testing and certification for servers, clients, and authenticators that meet FIDO2 specifications. I’ve written a separate post just on this topic, and you can find it here, Why Your Biometrics Are Your Best Password. 
  • Cloud-based security information and event management (SIEM) systems capable of integrating with 3rd party public cloud platforms reflect the maturity nature of this market. Of the several vendors claiming to have cloud-based SIEM, Microsoft’s Azure Sentinel’s demo showed in real-time how fusion AI technology can parse large volumes of low fidelity signals into a few important incidents for SecOps teams to focus on. Microsoft said that in December 2019 alone, Azure Sentinel evaluated nearly 50 billion suspicious signals, isolating them down to just 25 high-confidence incidents for SecOps teams to investigate. The following graphic explains how Azure Sentinel Fusion works.
  • One of the most interesting startups at RSA was Nullafi, who specializes in a novel API-based data security technology that combines data aliasing, vaulting, encryption, and monitoring to create an advanced data protection platform that makes hacked data useless to hackers. What makes Nullafi noteworthy is how they’ve been able to build a data architecture that protects legacy and new infrastructures while making the original data impossible for a hacker to reverse engineer and gain access to. It desensitizes critical data so that it’s useless to hackers but still useful for an organization to keep operating, uninterrupted by a breach to your business. Nullafi is built to AWS GovCloud standards. The Nullafi SDK encrypts the data before sending it to the Nullafi API. It then re-encrypts the data within their zero-knowledge vault in the cloud (or on-premises). The result is that no sensitive data in any format is shared with Nullafi that could be used or lost, as their architecture doesn’t have visibility into what the actual data looks like. The following graphic explains their architecture:

 

10 Ways To Own Your Cybersecurity In 2020

10 Ways To Own Your Cybersecurity In 2020

Bottom Line: One of the best New Year’s resolutions anyone can make is to learn new ways to secure their personal and professional lives online, starting with ten proven ways they can take greater control over their own cybersecurity.

For many professionals, their personal and professional lives have blended together thanks to the growing number of connected, IoT-capable devices, including cars, home security systems, smartphones, virtual assistants including Amazon Echo, Google Home, WiFi routers, and more. It’s typical to find homes with two dozen or more connected devices that are relied for everything going on in a person’s life from personal interests, connecting with friends, and getting work done.

It’s Time to Secure Every Area of Your Smart, Connected World

Faced with chronic time shortages, many people rely on smart, connected devices supported by AI and machine learning to get more done in less time. They’re proliferating today because they’ve proven to be very effective at personalizing experiences while providing the added convenience of being always on and available to help. Smart, connected devices are an extension of a person’s identity today as they contain insights into buying behavior and, in some cases, actual conversations. The more these devices are protected, the more a person’s identity and most valuable resource of all – time – is protected too.

Strengthening your own cybersecurity starts by seeing every device and the apps you use as potential attack surfaces that need to be protected. Just as you wouldn’t likely leave any of the physical doors to your home unprotected and locked, you need to secure all the digital entrances to your home and person. Like the CEO and cybersecurity team of any organization who is focusing on how to reduce the risk of a breach, the same level of intensity and vigilance to personal cybersecurity needs to become the new normal.

10 Ways You Can Own Your Cybersecurity

The following are the top ten ways you can take control and own your own security. Several of the ways mentioned below are from the recent Centrify webinar, Cybersecurity Best Practices: The Basics and Beyond:

  • Replace weak passwords used on multiple accounts with a unique, longer password for each online account. Start by getting away from having the same password for multiple accounts. When a single account gets hacked, it can easily lead to all the others with the same password and comparable user ID. Passwords are proving to be the weakest attack vector there is for personal information today. World Password Day serves as a reminder every May to use stronger, different passwords on each account.
  • Start researching and choose a Password Manager that is flexible enough to match how you like to work. It’s time to get beyond Post-It notes and paper-based approaches to managing your own passwords now. Dashlane, LastPass, and OneLogin are all excellent password managers worth checking out. If you’re not sure password managers are worth it, I’ve seen them add an additional layer of security to personal and work accounts that would not have otherwise been available. Some will even notify you when an account you have might have been breached, and recommend a new password for you. A screen capture from the webinar illustrates the differences between personal, professional and Privileged Access Management (PAM) levels of password security:

10 Ways To Own Your Cybersecurity In 2020

  • Use single-sign-on (SSO) if available for systems at work, even if you’re logging in at the office. SSO systems use temporary tokens, which have proven to be more reliable than static credentials. One of the primary design goals of SSO is to authenticate your identity once, and give you access to the applications and system resources you need and are entitled to access to get work done.
  • Vault away passwords to critical systems and data. In the privileged access world of Cybersecurity operations in any organization, password vaults have become commonplace. Password vaults are similar to password managers many people use for their personal devices, web applications, and sites they regularly visit. In the case of a password vault, privileged credentials are checked in and out by admins, with each password automatically rotating to ensure greater randomization.
  • Enable security on all the devices you received over the holidays, starting with your WiFi router. If you’ve never set an admin password on your WiFi router and the two guest access points they typically have, now is a great time to do that. If you have an Amazon Echo or Google Home, manually disable the microphones. On the Echo, press the microphone button until the external ring turns red. On Google Home, use the small switch on the side to turn off the microphone..On an Amazon Alexa, it’s possible to review voice recordings associated with your account and delete the voice recordings one by one, by date range, by Alexa-enabled device, or all at once by visiting Settings > Alexa Privacy in the Alexa app or https://www.amazon.com/alexaprivacysettings. It’s a good idea to use PIN protection to disable voice purchases too. If you have Baby Monitors in your home, connect to them using a secured WiFi connection, not Bluetooth. Have everything behind your home firewall, so there’s a minimal number of threat surfaces in your home.
  • Take few of the many LinkedIn learning courses on practical cybersecurity to stay current on the latest techniques. LinkedIn Learning has 19 courses available today that are focused on practical cybersecurity steps you can take to protect your company’s systems and your own. You can find all the 19 courses here. LinkedIn Learning has 462 learning resources available today, available here. I’ve taken a few over a lunch break and have found them informative, interesting, and useful.
  •  Realize that you may be getting phishing and spear-phishing e-mails every week. Cybercriminals are becoming increasingly sophisticated in their use of browser plug-ins to pop up messages asking for your login and password information for sites. Combining the latest information from LinkedIn, Facebook, Twitter, and other sites, hackers often target new employees and with spearfishing campaigns where they impersonate a CEO and other senior-level executives. Spearfishing attempts can be easily thwarted by calling the supposed sender to ask if the request is legitimate. A second way to spot phishing and spear-fishing attempts is they will ask you for one or more of the pieces of information needed for completing a Multi-Factor Authentication (MFA) login to an account. Misspelled words, questionable e-mail addresses, and unsecured domains and websites are also a sure tip-off of a phishing attempt.
  • Bring Your Own Device (BYOD) greatly expands the enterprise attack surface. Define the success of a BYOD security strategy by how well it immediately shuts down access to confidential data and systems first. Being able to immediately block access to confidential systems and data is the most important aspect of securing any BYOD across a network. It’s common for BYOD enablement strategies to include integrations to Dropbox, Slack, Salesforce and Workday, Slack, Salesforce, and others.
  • Always use Multi-Factor Authentication (MFA) everywhere it’s offered. MFA is based on three or more factors that can authenticate who you are. Something you know (passwords, PINs, code works), something you have (a smartphone, tokens devices that produce pins or pre-defined pins) or something you are (biometrics, facial recognition, fingerprints, iris, and face scans). Google, for example, provides MFA as part of their account management to every account holder, in addition to a thorough security check-up, which is useful for seeing how many times a given password has been reused.

10 Ways To Own Your Cybersecurity In 2020

  • Determine where you and your company are from a privileged access maturity standpoint. Centrify shared the four stages of privileged access security on the webinar, and each phase is a useful benchmark for anyone or organization looking to improve their cybersecurity effectiveness. Centrify found in a recent survey that 42% of organizations are at the nonexistent phase of the model. As an organization progresses up the model, there’s greater accountability and visibility for each aspect of a cybersecurity strategy. For individuals, the progression is much the same, all leading to a lower risk of a breach and stolen privileged access credentials occurring.

10 Ways To Own Your Cybersecurity In 2020

Conclusion

While not every user in an organization is going to have privileged entitlements, it is up to every individual to take ownership of their cybersecurity hygiene to ensure they don’t become the most-easily-exploited employee in the company. That’s what the bad guys are looking for: the easiest way in. Why try to hack in against sophisticated technology when they can just guess your easy password, or get you to hand it over to them by phishing? Be cyber smart in 2020 – these ten tips might save you from being the weakest link that could cost your organization millions.

10 Predictions How AI Will Improve Cybersecurity In 2020

10 Predictions How AI Will Improve Cybersecurity In 2020

Capgemini predicts 63% of organizations are planning to deploy AI in 2020 to improve cybersecurity, with the most popular application being network security.

Cybersecurity is at an inflection point entering 2020. Advances in AI and machine learning are accelerating its technological progress. Real-time data and analytics are making it possible to build stronger business cases, driving higher adoption. Cybersecurity spending has rarely been linked to increasing revenues or reducing costs, but that’s about to change in 2020.

What Leading Cybersecurity Experts Are Predicting For 2020

Interested in what the leading cybersecurity experts are thinking will happen in 2020, I contacted five of them. Experts I spoke with include Nicko van Someren, Ph.D. and Chief Technology Officer at Absolute Software; Dr. Torsten George, Cybersecurity Evangelist at Centrify; Craig Sanderson, Vice President of Security Products at Infoblox; Josh Johnston, Director of AI, Kount; and Brian Foster, Senior Vice President Product Management at MobileIron. Each of them brings a knowledgeable, insightful, and unique perspective to how AI and machine learning will improve cybersecurity in 2020. The following are their ten predictions:

  1. AI and machine learning will continue to enable asset management improvements that also deliver exponential gains in IT security by providing greater endpoint resiliency in 2020. Nicko van Someren, Ph.D. and Chief Technology Officer at Absolute Software, observes that “Keeping machines up to date is an IT management job, but it’s a security outcome. Knowing what devices should be on my network is an IT management problem, but it has a security outcome. And knowing what’s going on and what processes are running and what’s consuming network bandwidth is an IT management problem, but it’s a security outcome. I don’t see these as distinct activities so much as seeing them as multiple facets of the same problem space, accelerating in 2020 as more enterprises choose greater resiliency to secure endpoints.”
  2. AI tools will continue to improve at drawing on data sets of wildly different types, allowing the “bigger picture” to be put together from, say, static configuration data, historic local logs, global threat landscapes, and contemporaneous event streams.  Nicko van Someren, Ph.D., and CTO at Absolute Software also predict that“Enterprise executives will be concentrating their budgets and time on detecting cyber threats using AI above predicting and responding. As enterprises mature in their use and adoption of AI as part of their cybersecurity efforts, prediction and response will correspondingly increase.”
  3. Threat actors will increase the use of AI to analyze defense mechanisms and simulate behavioral patterns to bypass security controls, leveraging analytics to and machine learning to hack into organizations. Dr. Torsten George, Cybersecurity Evangelist at Centrify, predicts that “threat actors, many of them state-sponsored, will increase their use and sophistication of AI algorithms to analyze organizations’’ defense mechanisms and tailor attacks to specific weak areas. He also sees the threat of bad actors being able to plug into the data streams of organizations and use the data to further orchestrate sophisticated attacks.”
  4. Given the severe shortage of experienced security operations resources and the sheer volume of data that most organizations are trying to work through, we are likely to see organizations seeking out AI/ML capabilities to automate their security operations processes. Craig Sanderson, Vice President of Security Products at Infoblox also predicts that “while AI and machine learning will increasingly be used to detect new threats it still leaves organizations with the task of understanding the scope, severity, and veracity of that threat to inform an effective response. As security operations becomes a big data problem it necessitates big data solutions.”
  5. There’s going to be a greater need for adversarial machine learning to combat supply chain corruption in 2020. Sean Tierney, Director of Threat Intelligence at Infoblox, predicts that “the need for adversarial machine learning to combat supply chain corruption is going to increase in 2020. Sean predicts that the big problem with remote coworking spaces is determining who has access to what data. As a result, AI will become more prevalent in traditional business processes and be used to identify if a supply chain has been corrupted.”
  6. Artificial intelligence will become more prevalent in account takeover—both the proliferation and prevention of it. Josh Johnston, Director of AI at Kount, predicts that “the average consumer will realize that passwords are not providing enough account protection and that every account they have is vulnerable. Captcha won’t be reliable either, because while it can tell if someone is a bot, it can’t confirm that the person attempting to log in is the account holder. AI can recognize a returning user. AI will be key in protecting the entire customer journey, from account creation to account takeover, to a payment transaction. And, AI will allow businesses to establish a relationship with their account holders that are protected by more than just a password.”
  7. Consumers will take greater control of their data sharing and privacy in 2020. Brian Foster, Senior Vice President Product Management at MobileIron, observes that over the past few years, we’ve witnessed some of the biggest privacy and data breaches. As a result of the backlash, tech giants such as Apple, Google, Facebook and Amazon beefed up their privacy controls to gain back trust from customers. Now, the tables have turned in favor of consumers and companies will have to put privacy first to stay in business. Moving forward, consumers will own their data, which means they will be able to selectively share it with third parties, but most importantly, they will get their data back after sharing, unlike in years past.
  8. As cybersecurity threats evolve, we’ll fight AI with AI. Brian Foster, Senior Vice President Product Management at MobileIron, notes that the most successful cyberattacks are executed by highly professional criminal networks that leverage AI and ML to exploit vulnerabilities such as user behavior or security gaps to gain access to valuable business systems and data. All of this makes it extremely hard for IT security organizations to keep up — much less stay ahead of these threats. While an attacker only needs to find one open door in an enterprise’s security, the enterprise must race to lock all of the doors. AI conducts this at a pace and thoroughness human ability can no longer compete with, and businesses will finally take notice in 2020.
  9. AI and machine learning will thwart compromised hardware finding its way into organizations’ supply chains. Rising demand for electronic components will expand the market for counterfeit components and cloned products, increasing the threat of compromised hardware finding its way into organizations’ supply chains. The vectors for hardware supply-chain attacks are expanding as market demand for more and cheaper chips, and components drive a booming business for hardware counterfeiters and cloners. This expansion is likely to create greater opportunities for compromise by both nation-state and cybercriminal threat actors. Source: 2020 Cybersecurity Threats Trends Outlook; Booz, Allen, Hamilton, 2019.
  10. Capgemini predicts 63% of organizations are planning to deploy AI in 2020 to improve cybersecurity, with the most popular application being network security. Capgemini found that nearly one in five organizations were using AI to improve cybersecurity before 2019. In addition to network security, data security, endpoint security, and identity and access management are the highest priority use cases for improving cybersecurity with AI in enterprises today. Source: Capgemini, Reinventing Cybersecurity with Artificial Intelligence: The new frontier in digital security.

10 Predictions How AI Will Improve Cybersecurity In 2020

Source: Capgemini, Reinventing Cybersecurity with Artificial Intelligence: The new frontier in digital security.

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