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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.

Answers To Today’s Toughest Endpoint Security Questions In The Enterprise

Answers To Today's Toughest Endpoint Security Questions In The Enterprise

  • Enterprises who are increasing the average number of endpoint security agents from 9.8 last year to 10.2 today aren’t achieving the endpoint resilience they need because more software agents create more conflicts, leaving each endpoint exposed to a potential breach.
  • 1 in 3 enterprise devices is being used with a non-compliant VPN, further increasing the risk of a breach.
  • 60% of breaches can be linked to a vulnerability where a patch was available, but not applied. Windows 10 devices in enterprises are, on average, 95 days behind on patches.

CIOs, CISOs and cybersecurity teams say autonomous endpoint security is the most challenging area they need to strengthen in their cybersecurity strategy today. Software agents degrade faster than expected and conflict with each other, leaving endpoints exposed. Absolute’s 2020 State of Endpoint Resilience Report quantifies the current state of autonomous endpoint security, the scope of challenges CISOs face today and how elusive endpoint resiliency is to achieve with software agents. It’s an insightful read if you’re interested in autonomous endpoint security.

Endpoint Security Leads CISOs’ Priorities In 2020

With their entire companies working remotely, CIOs and CISOs I’ve spoken with say autonomous endpoint security is now among their top three priorities today. Cutting through the endpoint software clutter and turning autonomous endpoint security into a strength is the goal. CISOs are getting frustrated with spending millions of dollars among themselves only to find out their endpoints are unprotected due to software conflicts and degradation.  Interested in learning more, I spoke with Steven Spadaccini, Vice President, Sales Engineering at Absolute Software and one of the most knowledgeable autonomous endpoint cybersecurity experts I’ve ever met. Our conversation delved into numerous cybersecurity challenges enterprise CIOs and CISOs are facing today. My interview with him is below:

The Seven Toughest Questions the C-Suite Is Asking About Endpoint Security

Louis: Thank you for your time today. I have seven questions from CIOs, CISOs and their teams regarding endpoint security. Let’s get started with their first one. What happens if an endpoint is compromised, how do you recover, encrypt, or delete its data?

Steven:  It’s a challenge using software agents, both security and/or management, to do this as each agents’ tools and features often conflict with each other, making a comprised endpoints’ condition worse while making it virtually impossible to recover, encrypt, delete and replace data. The most proven approach working for enterprises today is to pursue an endpoint resilience strategy. At the center of this strategy is creating a root of trust in the hardware and re-establishes communication and control of a device through an unbreakable digital tether. I’m defining Endpoint Resilience as an autonomous endpoint security strategy that ensures connectivity, visibility and control are achieved and maintained no matter what is happening at the OS or application level. Taking this approach empowers devices to recover automatically from any state to a secure operational state without user intervention. Trust is at the center of every endpoint discussion today as CIOs, CISOs and their teams want the assurance every endpoint will be able to heal itself and keep functioning

Louis: Do endpoint software security solutions fail when you lose access to the endpoint, or is the device still protected at the local level?

Steven: When they’re only protected by software agents, they fail all the time. What’s important for CISOs to think about today is how they can lead their organizations to excel at automated endpoint hygiene. It’s about achieving a stronger endpoint security posture in the face of growing threats. Losing access to an endpoint doesn’t have to end badly; you can still have options to protect every device. It’s time for enterprises to start taking a more resilient-driven mindset and strategy to protecting every endpoint – focus on eliminating dark endpoints. One of the most proven ways to do that is to have endpoint security embedded to the BIOS level every day. That way, each device is still protected to the local level. Using geolocation, it’s possible to “see” a device when it comes online and promptly brick it if it’s been lost or stolen.

Louis: How can our cybersecurity team ensure compliance that all cybersecurity software is active and running on all endpoints?

Steven: Compliance is an area where having an undeletable tether pays off in a big way. Knowing what’s going on from a software configuration and endpoint security agent standpoint – basically the entire software build of a given endpoint – is the most proven way I’ve seen CISOs keep their inventory of devices in compliance. What CISOs and their teams need is the ability to see endpoints in near real-time and predict which ones are most likely to fail at compliance. Using a cloud-based or SaaS console to track compliance down to the BIOS level removes all uncertainty of compliance. Enterprises doing this today stay in compliance with HIPAA, GDPR, PCI, SOX and other compliance requirements at scale. It’s important also to consider how security automation and orchestration kicks on to instantly resolve violations by revising security controls and configurations, restoring anti-malware, or even freezing the device or isolating it from data access. Persistent visibility and control give organizations what they need to be audit-ready at every moment.

Having that level of visibility makes it easy to brick a device. Cybersecurity teams using Absolute’s Persistence platform can lead to humorous results for IT teams, who call the bricking option a “fun button as they watch hackers continually try to reload new images and right after they’re done, re-brick the device again. One CIO told the story of how their laptops had been given to a service provider who was supposed to destroy them to stay in compliance with the Health Insurance Portability and Accountability Act (HIPAA) and one had been resold on the black market, ending up in a 3rd world nation. As the hacker attempted to rebuild the machine, the security team watched as each new image was loaded at which time they would promptly brick the machine. After 19 tries, the hacker gave up and called the image rebuild “brick me.”

Louis: With everyone working remote today, how can we know, with confidence where a given endpoint device is at a moments’ notice?

Steven: That’s another use case where having an undeletable tether pays off in two powerful ways: enabling autonomous endpoint security and real-time asset management. You can know with 100% confidence where a given endpoint device is in real-time so long as the device is connected to a permanent digital tether . Even if the device isn’t reachable by your own corporate network it’s possible to locate it using the technologies and techniques mentioned earlier. CIOs sleep better at night knowing every device is accounted for and if one gets lost or stolen, their teams can brick it in seconds.

Louis: How can our IT and cybersecurity teams know all cybersecurity applications are active and protecting the endpoint?

Steven: By taking a more aggressive approach to endpoint hygiene, it’s possible to know every application, system configuration and attributes of user data on the device. It’s important not to grow complacent and assume the gold image IT uses to configure every new or recycled laptop is accurate. One CIO was adamant they had nine software agents on every endpoint, but Absolute’s Resilience platform found 16, saving the enterprise from potential security gaps. The gold image is an enterprise IT team was using had inadvertently captured only a subset of the total number of software endpoints active on their networks. Absolute’s Resilience offering and Persistence technology enabled the CIO to discover gaps in endpoint security the team didn’t know existed before.

Louis: How can we restrict the geolocations of every endpoint?

Steven: This is an area that’s innovating quickly in response to the needs enterprises have to track and manage assets across countries and regions. IP tracking alone isn’t as effective as the newer techniques, including GPS tracking, Wi-Fi triangulation, with both integrated into the Google Maps API. Enterprises whose business relies on Personal Identifiable Information (PII) is especially interested in and adopting these technologies today. Apria Healthcare is currently using geofencing for endpoint security and asset management. They have laptops in use today across Indonesia, the Philippines and India. Given the confidential nature of the data on those devices and compliance with local government data protection laws, each laptop needs to stay in the country they’re assigned to. Geofencing gives Apria the power to freeze any device that gets outside of its region within seconds, averting costly fines and potential breaches.

Louis: How can our IT team immediately validate an endpoint for vulnerabilities in software and hardware?

Steven: The quickest way is to design in audit-ready compliance as a core part of any endpoint resilience initiative. Endpoint resilience to the BIOS level makes it possible to audit devices and find vulnerabilities in real-time, enabling self-healing of mission-critical security applications regardless of complexity. The goal of immediately validating endpoints for current security posture needs to be a core part of any automated endpoint hygiene strategy. It’s possible to do this across platforms while being OS-agnostic yet still accessible to over 500M endpoint devices, deployed across Microsoft Windows, macOS via a Mac Agent and Chrome platforms.

Conclusion

Knowing if their autonomous endpoint security and enterprise-wide cybersecurity strategies are working or not is what keeps CIOs up the most at night. One CISO confided to me that 70% of the attempted breaches to his organization are happening in areas he and his team already knew were vulnerable to attack. Bad actors are getting very good at finding the weakest links of an enterprises’ cyber defenses fast. They’re able to look at the configuration of endpoints, see which software agents are installed, research known conflicts and exploit them to gain access to corporate networks. All this is happening 24/7 to enterprises today. Needing greater resilient, persistent connections to every device, CISOs are looking at how they can achieve greater resilience on every endpoint. Capitalizing on an undeletable tether to track the location of the device, ensure the device and the apps on that device have self-healing capabilities and gain valuable asset management data  – these are a few of the many benefits they’re after.

Five Factors Predicting The Future Of MacOS Management And Security

Bottom Line: Going into 2020, CISOs’ sense of urgency for managing their fleets of Android, Apple iOS & macOS, Windows Phone, and Windows 10 devices all from an integrated Unified Endpoint Management (UEM) is transforming the MacOS Management and Security landscape.

For many, CISOs, the highest priority project they’re starting the New Year with is getting their diverse fleet of devices on a common unified endpoint management platform. “We’ve gone through no less than a dozen UEMs (Unified Endpoint Management) systems, and they are either very good at supporting iOS and macOS or terrible at every other operating system or vice versa,” the CISO of a leading insurance and financial services firm told me over lunch recently. “Our sales, marketing, graphic artists, DevOps, and Customer Success teams all are running on Macs and iPhones, which makes it even more of a challenge to get everyone on the same endpoint management platform.” He went on to explain that the majority of macOS and iOS endpoint management systems aren’t built to support the advanced security he needs for protecting Android, Windows Phone, and Windows 10 devices.

Unified Endpoint Management is a key CISO priority in 2020

macOS and iOS devices had their own endpoint management tools in previous years when they were limited in use. Now they’re common in the enterprise and need to be considered part of an organization-wide fleet of devices, making it a high priority to add them to the unified endpoint management platform all other devices are on. Further accelerating this change is the success of BYOD policies that give employees the choice of using the tablets, smartphones, and laptops they’re the most productive with. One CISO told me their BYOD program made it clear macOS and iOS are the de facto standard across their enterprise.

While endpoint management platforms are going through an Apple-driven inflection point, forcing the need for a more inclusive unified endpoint management strategy, CISOs are focusing on how to improve application and content control at the same time. How enterprises choose to solve that challenge are predicting the future of MacOS management and security.

Five Factors Driving the Future of macOS Management and Security

CISOs piloting and only buying platforms that can equally protect every device operating system, macOS, and iOS’ rapidly growing enterprise popularity and better support for adaptive access are a few of the catalysts redefining the landscape today. The following five factors are defining how MacOS Management and Security will improve in 2020:

  • Enterprises need more effective endpoint and application management that includes Android, Apple iOS & macOS, Windows Phone, and Windows 10. There’s a major gap in how effective endpoint protection is across the UEM platforms today. Data-at-risk encryption and App distribution, or how well a UEM system can create, update, and distribute macOS applications are two areas cybersecurity teams are focusing on today.

Five Factors Predicting The Future Of MacOS Management And Security

  • System integration options needs to extend beyond log reports and provide real-time links to Security Information and Event Management (SIEM) systems. CISOs and their cybersecurity teams need real-time integration to incident management systems so they can be more effective troubleshooting potential breach attempts. Sharing log files across other systems is a first step, yet real-time integration is clearly what’s needed to protect enterprises’ many devices and threat surfaces today. The following Splunk dashboard illustrates the benefits of having real-time integration beyond log reports, encompassing SIEM systems:

Five Factors Predicting The Future Of MacOS Management And Security

  • UEM platforms that differentiate between corporate-owned and personal devices, content and authentication workflows, and data are defining the future of macOS Management and Security. Key factors that CISOs need in this area of unmanaged device support include more effective content separation, improved privacy settings, support for actions taken on personally-owned devices, and role-based privacy settings. MobileIron is a leader in this area, with enterprises currently using their role-based workflows to limit and verify access to employee-owned devices. MobileIron can also limit IT’s scope of control over an employee device, including turning off location tracking.
  • Support and proven integration of Identity solutions such as Okta, Ping Identity, Microsoft, and Single sign-on (SSO) are defining the future of adaptive access today. This is the most nascent area of UEM platform development today, yet the one area that CISOs need the greatest progress on this year. Endpoint protection and system integration are the two areas that most define how advanced a given UEM providers’ platform is today.
  • The ability to provision, revoke, and manage device certificates over their lifecycles is becoming a must-have in enterprises today. UEM platforms, in large part, can handle certificate device provisioning, yet Certificate Authority (CA) integration is an area many struggle with. CISOs are asking for more effective certificate lifecycle management, especially given the proliferation of macOS and iOS devices.

Conclusion

The five factors of MacOS management and security are transforming the Unified Endpoint Management (UEM) solution landscape. CISOs often speak of wanting to have a more integrated UEM strategy, one that can provide better SIEM system integration, differentiate between corporate-owned and personal devices, and also manage the lifecycles of device certificates. MobileIron has proven their ability to scale in a BYOD world and is a UEM vendor to watch in 2020.

Shadow IT Is The Cybersecurity Threat That Keeps Giving All Year Long

Shadow IT Is The Cybersecurity Threat That Keeps Giving All Year Long

  • More than 5,000 personal devices connect to enterprise networks every day with little or no endpoint security enabled in one of every three companies in the U.S., U.K., and Germany.
  • More than 1,000 shadow IoT devices connect to enterprise networks every day in 30% of the U.S., U.K., and German companies.
  • 12% of U.K. organizations are seeing more than 10,000 shadow IoT devices connect to their enterprise networks every day.
  • Associates most often use shadow IT devices to access social media (39%), followed by downloading apps (24%), games (13%), and films (7%). Hackers, organized crime and state-sponsored cybercrime organizations rely on social engineering hacks, phishing, and malware injection across these four popular areas to gain access to enterprise networks and exfiltrate data.

Shadow personal IoT voice assistants, Amazon Kindles, smartphone, and tablet devices are proliferating across enterprise networks today, accelerated by last-minute shopping everyone is trying to get done before the end of December. 82% of organizations have introduced security policies governing the use of these devices but just 24% of employees are aware of them. Meanwhile, the majority of IT senior management, 88%, believe their policies are effective. These and many other fascinating insights are from a recent study completed by Infoblox titled, What is Lurking on Your Network, Exposing the threat of shadow devices (PDF, 7 pp., no opt-in).

Shadow IT’s Security Gaps Create New Opportunities For Hackers

Gaps in threat surface and endpoint security are what hackers, organized crime, and state-sponsored cybercrime organizations thrive on. The holidays create new opportunities for these organizations to capitalize on security gaps using social engineering hacks, phishing, malware injection and more. “With cybercriminals increasingly exploiting vulnerable devices, as well as targeting employees’ insecure usage of these devices, it is crucial for enterprise IT teams to discover what’s lurking on their networks and actively defend against the threats introduced,” Gary Cox, Technology Director, Western Europe for Infoblox said. Just a few of the many threats include the following:

  • A quick on-ramp for hackers to exfiltrate data from enterprise systems. Every personal device left unprotected on an enterprise network is an ideal threat surface for hackers and other malicious actors to infiltrate an enterprise network from. The most common technique is to use DNS tunneling, which enables cybercriminals to insert malware or pass stolen information into DNS queries, creating a covert communication channel that bypasses most firewalls. Project Sauron was one particularly advanced threat, which allegedly went undetected for five years at a number of organizations that used DNS tunneling for data exfiltration.
  • Distributed Denial of Service (DDoS) attacks are often launched from a series of hijacked connected devices that are often the least protected threat surface on corporate networks. It’s common for DDoS attacks to begin with malicious actors hijacking any vulnerable device they can to launch repeated and frequent queries that bombard the Domain Name Server (DNS) with the intent of slowing down its ability to process legitimate queries, often to the point that it can no longer function.
  • Creating and targeting Botnet armies using vulnerable IoT devices to attack organizations’ enterprise systems is increasing, according to Verizon’s latest 2019 Data Breach Investigations Report. “Botnets are truly a low-effort attack that knows no boundaries and brings attackers either direct revenue through financial account,” according to Verizon’s 2019 study. Botnets are also being used to steal privileged access credentials to an enterprises’ systems that are being accessed from the same personal devices employees are using for social media access and shopping. There have been over 40,000 breaches initiated using botnets this year so far, according to Verizon. The report notes that a variant of the Mirai IoT botnet began scanning for vulnerable Drupal servers in April of this year and was successful in finding the most vulnerable systems globally to install crypto mining software. The attack is known as Drupalgeddon2, and the scope of its vulnerabilities are still being discovered today.
  • Unsecured personal devices connected to enterprise networks are ransomware landing zones. 70% of all malware attacks happen in healthcare according to Verizon’s 2019 Data Breach Investigations Report because patient health records are bestsellers on the Dark Web, ranging in price from $250 to over $1,000 per record. Ransomware is a form of malware that, once it takes over a computer or network, threatens to deny access to or destroy an organizations’ data. Ransomware can easily intercept an enterprise network after being accidentally downloaded by an employee on either a business or personal device connected to a network.

Where To Start: Secure The Networks Shadow IT Relies On

Chief Information Security Officers (CISOs) have told me that the most challenging aspect of securing the proliferation of shadow IT devices is protecting the multitude of remote locations that together form their distributed networks. They’re saying that in 2020, enabling network security is the greatest challenge their enterprises will face. More enterprises are adopting cloud-based DDI platforms that enable enterprises to simplify the management of highly distributed remote networks as well as to optimize the network performance of cloud-based applications. Leaders in this area include Infoblox, a leader in SD-WAN and cloud-based DDI platforms for enterprises. Here are the most common strategies they’re relying on to secure their distributed networks based on the proliferation of personal devices:

  • Integrating threat intelligence data to evaluate if specific sites and applications are high risk or not. IT administrators need to deploy solutions that allow them to build safeguards that will prevent potential dangerous activity occurring on the network. Integrating threat intelligence data into DNS management enables security teams to monitor and prevent access to Newly Observed Domains. Many new domains will be set up ahead of phishing and/or spear-phishing campaign, so in preventing access to these sites, organizations can reduce the risk of employees accidentally introducing malware through clicking through to insecure links on personal devices connected to the enterprise network.
  • Set the goal of achieving full visibility across distributed networks by starting with a plan that considers cloud-based DDI platforms. CISOs and the IT teams working with them need to translate their policies into action by achieving more unified visibility by upgrading their core network services, including DNS, DHCP, and IP address management, on cloud-based DDI platforms to bring greater security scale and reliability across their enterprise networks.
  • Design in greater DNS security at the network level. Enterprise networks are heavily reliant on DNS, making them an area malicious actors attempt to disrupt in their broader efforts to exfiltrate valuable data from organizations. Existing security controls, such as firewalls and proxies, rarely focus on DNS and associated threats – leaving organizations vulnerable to highly aggressive, rapidly proliferating attacks. When secured, the DNS can act as an organization’s first line of defense. The DNS can provide essential context and visibility, so IT teams can be alerted of any network anomalies, report on what devices are joining and leaving the network, and resolve problems faster.

Conclusion

Bring Your Own Device (BYOD) initiatives’ benefits far outweigh the costs, making the business case for BYOD overwhelming positive, as seen in how financial services firms stay secure.  Enterprises need to consider adopting a cloud-based DDI platform approach that enables them to simplify the management of highly distributed remote networks as well as to optimize the network performance of cloud-based applications. Many CISOs are beginning to realize the model of relying on centralized IT security isn’t scaling to support and protect the proliferation of user devices with internet access, leaving employees, branch offices, and corporate networks less secure than ever before. Every IT architect, IT Director, or CIO needs to consider how taking an SDWAN-based approach to network management reduces the risk of a breach and data exfiltration.

 

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