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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.

7 Ways AI Reduces Mobile Fraud Just In Time For The Holidays

7 Ways AI Reduces Mobile Fraud Just In Time For The Holidays

  • There has been a 680% increase in global fraud transactions from mobile apps from October 2015 to December 2018, according to RSA.
  •  70% of fraudulent transactions originated in the mobile channel in 2018.
  • RSA’s Anti-Fraud Command Center saw phishing attacks increase 178% after leading banks in Spain launched instant transfer services.
  • Rogue mobile apps are proliferating with, 20% of all reported cyberattacks originating from mobile apps in 2018 alone.

On average, there are 82 new rogue applications submitted per day to any given AppExchange or application platform, all designed to defraud consumers. Mobile and digital commerce are cybercriminals’ favorite attack surfaces because they are succeeding with a broad base of strategies for defrauding people and businesses.

Phishing, malware, smishing, or the use of SMS texts rather than email to launch phishing attempts are succeeding in gaining access to victims’ account credentials, credit card numbers, and personal information to launch identity theft breaches. The RSA is seeing an arms race between cybercriminals and mobile OS providers with criminals improving their malware to stay at parity or leapfrog new versions and security patches of mobile operating systems.

Improving Mobile Fraud Prevention With AI And Machine Learning

Creating a series of rogue applications and successfully uploading them into an AppExchange or application store gives cybercriminals immediate access to global markets. Hacking mobile apps and devices is one of the fastest-growing cybercriminal markets, one with 6.8B mobile users worldwide this year, projected to increase to 7.3B in 2023, according to The Radicati Group. The total number of mobile devices, including both phones and tablets, will be over 13B by the end of 2019, according to the research firm. And a small percentage of mobile fraud transactions get reported, with mobile fraud losses reported totaling just over $40M across 14,392 breaches according to the U.S. Federal Trade Commission. Mobile fraud is an epidemic that needs to be fought with state-of-the-art approaches based on AI and machine learning’s innate strengths.

Traditional approaches to thwarting digital fraud rely on rules engines that thrive on detecting and taking action based on established, known patterns, and are often hard-coded into a merchant’s system. Fraud analyst teams further customize rules engines to reflect the unique requirements of the merchants’ selling strategies across each channel. Fine-tuning rules engines makes them effective at recognizing and taking action on known threat patterns. The challenge for every merchant relying on a fraud rules engine is that they often don’t catch the latest patterns in cybercriminal activity. Where rules-based approaches to digital fraud don’t scale, AI, and machine learning do.

Exploring The 7 Ways AI Is Reducing Mobile Fraud

Where rules engines are best suited for spotting existing trends in fraud activity, machine learning excels at classifying observations (called supervised machine learning) and finding anomalies in data by finding entirely new patterns and associations (called unsupervised machine learning). Combining supervised and unsupervised machine learning algorithms are proving to be very effective at reducing mobile fraud. The following are the seven ways AI and machine learning are reducing mobile fraud today:

  1. AI and machine learning reduce false positives by interpreting the nuances of specific behaviors and accurately predicting if a transaction is fraudulent or not. Merchants are relying on AI and machine learning to reduce false positives, saving their customers from having to re-authenticate who they are and their payment method. A false positive at that first interaction with a customer is going to reduce the amount of money that they spend with a merchant, so it’s very important to interpret each transaction accurately.
  2. Identifying and thwarting merchant fraud based on anomalous activity from a compromised mobile device. Cybercriminals are relying on SIM swapping to gain control of mobile devices and commit fraud, as the recent hack of Twitter’s founder Jack Dorsey illustrates. Hackers were able to transfer his telephone number using SIM swapping and by talking Dorsey’s mobile service provider to bypass the account passcode. Fortunately, only his Twitter account was hacked. Any app or account accessible on his phone could have been breached, leading to fraudulent bank transfers or purchases. The attack could have been thwarted if Jack Dorsey’s mobile service provider was using AI-based risk scoring to detect and act on anomalous activity.
  3. AI and machine learning-based techniques scale across a wider breadth of merchants than any rules-based approach to mobile fraud prevention can. Machine learning-based models scale and learn across different industries in real-time, accumulating valuable data that improves payment fraud prediction accuracy. Kount’s Universal Data Network is noteworthy, as it includes billions of transactions over 12 years, 6,500 customers, 180+ countries and territories, and multiple payment networks. That rich data feeds Kount’s machine learning models to detect anomalies more accurately and reduce false positives and chargebacks.
  4. Combining supervised and unsupervised machine learning algorithms translates into a formidable speed advantage, with fraudulent transactions identified on average in 250 milliseconds. Merchants’ digital business models’ scale and speed are increasing, and with the holidays coming up, there’s a high probability many will set mobile commerce sales records. The merchants who will gain the most sales are focusing on how security and customer experience can complement each other. Being able to approve or reject a transaction within a second or less is the cornerstone of an excellent customer buying experience.
  5. Knowing when to use two-factor authentication via SMS or Voice PIN to reduce false negatives or not, preserving customer relationships in the process. Rules engines will often take a brute-force approach to authentication if any of the factors they’re tracking show a given transaction is potentially fraudulent. Requesting customers authenticate themselves after they’re logged into a merchant’s site when they attempt to buy an item is a sure way to lose a customer for life. By being able to spot anomalies quickly, fewer customers are forced to re-authenticate themselves, and customer relationships are preserved. And when transactions are indeed fraudulent, losses have been averted in less than a second.
  6. Provide a real-time transaction risk score that combines the strengths of supervised and unsupervised machine learning into a single fraud prevention payment score. Merchants need a real-time transaction risk score that applies to every channel they sell, though. Fraud rules engines had to be tailored to each specific selling channel with specific rules for each type of transaction. That’s no longer the case due to machine learnings’ ability to scale across all channels and provide a transaction risk score in milliseconds. Leaders in this area include Kount’s Omniscore, the actionable transaction safety rating that is a result of their AI, which combines patented, proprietary supervised and unsupervised machine learning algorithms and technologies.
  7. Combining insights from supervised and unsupervised machine learning with contextual intelligence of transactions frees up fraud analysts to do more investigations and fewer transaction reviews. AI and machine learning-based fraud prevention systems’ first contribution is often reducing the time fraud analysts take for manual reviews. Digitally-based businesses I’ve talked with say having supervised machine learning categorize and then predict fraudulent attempts is invaluable from a time-saving standpoint alone. Merchants are finding AI, and machine learning-based approaches enable to score to approve more orders automatically, reject more orders automatically, and focus on those gray area orders, freeing up fraud analysts to do more strategic, rewarding work. They’re able to find more sophisticated, nuanced abuse attacks like refer a friend abuse or a promotion abuse or seller collusion in a marketplace. Letting the model do the work of true payment fraud prevention frees up those fraud analysts to do other worth that add value.

Conclusion

With the holiday season rapidly approaching, it’s time for merchants to look at how they can protect mobile transactions at scale across all selling channels. AI and machine learning are proving themselves as viable replacements to traditional rules engines that rely on predictable, known fraud patterns. With 70% of fraudulent transactions originating in the mobile channel in 2018 and the influx of orders coming in the next three months, now would be a good time for merchants to increase their ability to thwart mobile fraud while reducing false positives that alienate customers.

Sources:

RSA 2019 Current State of Cybercrime Report (11 pp., PDF, opt-in)

The Radicati Group, Mobile Statistics Report, 2019 – 2023 (3 pp., PDF, no opt-in)

U.S. Federal Trade Commission, Consumer Sentinel Network, Data Book 2018 (90 pp., PDF, no opt-in)

 

 

How To Excel At Secured Cloud Migrations With A Shared Responsibility Model

How To Excel At Secured Cloud Migrations With A Shared Responsibility Model

  • 60% of security and IT professionals state that security is the leading challenge with cloud migrations, despite not being clear about who is responsible for securing cloud environments.
  • 71% understand that controlling privileged access to cloud service administrative accounts is a critical concern, yet only 53% cite secure access to cloud workloads as a key objective of their cloud Privileged Access Management (PAM) strategies.

These and many other fascinating insights are from the recent Centrify survey, Reducing Risk in Cloud Migrations: Controlling Privileged Access to Hybrid and Multi-Cloud Environments, downloadable here. The survey is based on a survey of over 700 respondents from the United States, Canada, and the UK from over 50 vertical markets, with technology (21%), finance (14%), education (10%), government (10%) and healthcare (9%) being the top five. For additional details on the methodology, please see page 14 of the study.

What makes this study noteworthy is how it provides a candid, honest assessment of how enterprises can make cloud migrations more secure by a better understanding of who is responsible for securing privileged access to cloud administrative accounts and workloads.

Key insights from the study include the following:

  • Improved speed of IT services delivery (65%) and lowered total cost of ownership (54%) are the two top factors driving cloud migrations today. Additional factors include greater flexibility in responding to market changes (40%), outsourcing IT functions that don’t create competitive differentiation (22%), and increased competitiveness (17%). Reducing time-to-market for new systems and applications is one of the primary catalysts driving cloud migrations today, making it imperative for every organization to build security policies and systems into their cloud initiatives.

How To Excel At Secured Cloud Migrations With A Shared Responsibility Model

 

  • Security is the greatest challenge to cloud migration by a wide margin. 60% of organizations define security as the most significant challenge they face with cloud migrations today. One in three sees the cost of migration (35%) and lack of expertise (30%) being the second and third greatest impediments to cloud migration project succeeding. Organizations are facing constant financial and time constraints to achieve cloud migrations on schedule to support time-to-market initiatives. No organization can afford the lost time and expense of an attempted or successful breach impeding cloud migration progress.

How To Excel At Secured Cloud Migrations With A Shared Responsibility Model

  • 71% of organizations are implementing privileged access controls to manage their cloud services. However, as the privilege becomes more task-, role-, or access-specific, there is a diminishing interest of securing these levels of privileged access as a goal, evidenced by only 53% of organizations securing access to the workloads and containers they have moved to the cloud. The following graphic reflects the results.

How To Excel At Secured Cloud Migrations With A Shared Responsibility Model

 

  • An alarmingly high 60% of organizations incorrectly view the cloud provider as being responsible for securing privileged access to cloud workloads. It’s shocking how many customers of AWS and other public cloud providers are falling for the myth that cloud service providers can completely protect their customized, highly individualized cloud instances. The native Identity and Access Management (IAM) capabilities offered by AWS, Microsoft Azure, Google Cloud, and others provide enough functionality to help an organization get up and running to control access in their respective homogeneous cloud environments. Often they lack the scale to adequately address the more challenging, complex areas of IAM and Privileged Access Management (PAM) in hybrid or multi-cloud environments, however. For an expanded discussion of the Shared Responsibility Model, please see The Truth About Privileged Access Security On AWS and Other Public Clouds. The following is a graphic from the survey and Amazon Web Services’ interpretation of the Shared Responsibility Model.

How To Excel At Secured Cloud Migrations With A Shared Responsibility Model

 

  • Implementing a common security model in the cloud, on-premises, and in hybrid environments is the most proven approach to making cloud migrations more secure. Migrating cloud instances securely needs to start with Multi-Factor Authentication (MFA), deploying a common privileged access security model equivalent to on-premises and cloud systems, and utilizing enterprise directory accounts for privileged access. These three initial steps set the foundation for implementing least privilege access. It’s been a major challenge for organizations to do this, particularly in cloud environments, as 68% are not eliminating local privilege accounts in favor of federated access controls and are still using root accounts outside of “break glass” scenarios. Even more concerning, 57% are not implementing least privilege access to limit lateral movement and enforce just-enough, just-in-time-access.

How To Excel At Secured Cloud Migrations With A Shared Responsibility Model

  • When it comes to securing access to cloud environments, organizations don’t have to re-invent the wheel. Best practices from securing on-premises data centers and workloads can often be successful in securing privileged access in cloud and hybrid environments as well.

Conclusion

The study provides four key takeaways for anyone working to make cloud migrations more secure. First, all organizations need to understand that privileged access to cloud environments is your responsibility, not your cloud providers’. Second, adopt a modern approach to Privileged Access Management that enforces least privilege, prioritizing “just enough, just-in-time” access. Third, employ a common security model across on-premises, cloud, and hybrid environments. Fourth and most important, modernize your security approach by considering how cloud-based PAM systems can help to make cloud migrations more secure.

7 Signs It’s Time To Get Focused On Zero Trust

7 Signs It’s Time To Get Focused On Zero Trust

When an experienced hacker can gain access to a company’s accounting and financial systems in 7 minutes or less after obtaining privileged access credentials, according to Ponemon, it’s time to get focused on Zero Trust Security. 2019 is on its way to being a record year for ransomware attacks, which grew 118% in Q1 of this year alone, according to McAfee Labs Threat Report. Data breaches on healthcare providers reached an all-time high in July of this year driven by the demand for healthcare records that range in price from $250 to over $1,000 becoming best-sellers on the Dark Web. Cybercriminals are using AI, bots, machine learning, and social engineering techniques as part of sophisticated, well-orchestrated strategies to gain access to banking, financial services, healthcare systems, and many other industries’ systems today.

Enterprises Need Greater Urgency Around Zero Trust

The escalating severity of cyberattacks and their success rates are proving that traditional approaches to cybersecurity based on “trust but verify” aren’t working anymore. What’s needed is more of a Zero Trust-based approach to managing every aspect of cybersecurity. By definition, Zero Trust is predicated on a “never trust, always verify” approach to access, from inside or outside the network. Enterprises need to begin with a Zero Trust Privilege-based strategy that verifies who is requesting access, the context of the request, and the risk of the access environment.

How urgent is it for enterprises to adopt Zero Trust? A recent survey of 2,000 full-time UK workers, completed by Censuswide in collaboration with Centrify, provides seven signs it’s time for enterprises to get a greater sense of urgency regarding their Zero Trust frameworks and initiatives. The seven signs are as follows:

  1. 77% of organizations’ workers admit that they have never received any form of cybersecurity skills training from their employer. In this day and age, it’s mind-blowing that three of every four organizations aren’t providing at least basic cybersecurity training, whether they intend to adopt Zero Trust or not. It’s like freely handing out driver’s licenses to anyone who wants one so they can drive the freeways of Los Angeles or San Francisco. The greater the training, the safer the driver. Likewise, the greater the cybersecurity training, the safer the worker, company and customers they serve.
  2. 69% of employees doubt the cybersecurity processes in place in their organizations today. When the majority of employees don’t trust the security processes in place in an organization, they invent their own, often bringing their favorite security solutions into an enterprise. Shadow IT proliferates, productivity often slows down, and enterprise is more at risk of a breach than ever before. When there’s no governance or structure to managing data, cybercriminals flourish.
  3. 63% of British workers interviewed do not realize that unauthorized access to an email account without the owner’s permission is a criminal offense. It’s astounding that nearly two-thirds of the workers in an organization aren’t aware that unauthorized access to another person’s email account without their permission is a crime. The UK passed into law 30 years ago the Computer Misuse Act. The law was created to protect individuals’ and organizations’ electronic data. The Act makes it a crime to access or modify data stored on a computer without authorization to do so. The penalties are steep for anyone found guilty of gaining access to a computer without permission, starting with up to two years in prison and a £5,000 fine. It’s alarming how high the lack of awareness is of this law, and an urgent call to action to prioritize organization-wide cybersecurity training.
  4. 27% of workers use the same password for multiple accounts. The Consensus survey finds that workers are using identical passwords for their work systems, social media accounts, and both personal and professional e-mail accounts. Cybersecurity training can help reduce this practice, but Zero Trust is badly needed to protect privileged access credentials that may have identical passwords to someone’s Facebook account, for example.
  5. 14% of employees admitted to keeping their passwords recorded in an unsecured handwritten notebook or on their desk in the office.  Organizations need to make it as difficult as possible for bad actors and cybercriminals to gain access to passwords instead of sharing them in handwritten notebooks and on Post-It notes. Any organization with this problem needs to immediately adopt Multi-Factor Authentication (MFA) as an additional security measure to ensure compromised passwords don’t lead to unauthorized access. For privileged accounts, use a password vault, which can make handwritten password notes (and shared passwords altogether) obsolete.
  6. 14% do not use multi-factor authentication for apps or services unless forced to do so. Centrify also found that 58% of organizations do not use Multi-Factor Authentication (MFA) for privileged administrative access to servers, leaving their IT systems and infrastructure unsecured. Not securing privileged access credentials with MFA or, at the very least, vaulting them is like handing the keys to the kingdom to cybercriminals going after privileged account access. Securing privileged credentials needs to begin with a Zero Trust-based approach that verifies who is requesting access, the context of the request, and the risk of the access environment.
  7. 1 out of every 25 employees hacks into a colleague’s email account without permission. In the UK, this would be considered a violation of the Computer Misuse Act, which has some unfortunate outcomes for those found guilty of violating it. The Censuswide survey also found that one in 20 workers have logged into friend’s Facebook accounts without permission. If you work in an organization of over 1,000 people, for example, 40 people in your company have most likely hacked into a colleague’s email account, opening up your entire company to legal liability.

Conclusion

Leaving cybersecurity to chance and hoping employees will do the right thing isn’t a strategy; it’s an open invitation to get hacked. The Censuswide survey and many others like it reflect a fundamental truth that cybersecurity needs to become part of the muscle memory of any organization to be effective. As traditional IT network perimeters dissolve, enterprises need to replace “trust but verify” with a Zero Trust-based framework. Zero Trust Privilege mandates a “never trust, always verify, enforce least privilege” approach to privileged access, from inside or outside the network. Leaders in this area include Centrify, who combines password vaulting with brokering of identities, multi-factor authentication enforcement, and “just enough” privilege, all while securing remote access and monitoring of all privileged sessions.

What’s New On The Zero Trust Security Landscape In 2019

What’s New On The Zero Trust Security Landscape In 2019

  • Forrester added in Checkpoint, Forescout, Google, illumio, MobileIron, Proofpoint, Symantec, and Unisys in their latest Forrester Wave™: Zero Trust eXtended Ecosystem Platform Providers this year.
  • Forrester’s 2019 scorecard increased the weight on network security, automation and orchestration, and portfolio growth rate compared to last year, adding in Zero Trust eXtended (ZTX) ecosystem advocacy to the scorecard for the first time.
  • Microsoft and VMWare are no longer included in the Forrester Wave™: Zero Trust eXtended Ecosystem Platform Providers this year.

These and many other interesting insights are from what’s new in the Forrester Wave™: Zero Trust eXtended Ecosystem Platform Providers, Q4 2019, written by Chase Cunningham and published on October 29, 2019. Chase is a leading authority on Zero Trust Security, and I was fortunate to have the opportunity to interview him earlier this year. You can read the interview here,10 Questions With Chase Cunningham On Cybersecurity. Forrester included 14 vendors in this assessment: Akamai Technologies, Check Point, Cisco, Cyxtera Technologies, Forcepoint, Forescout, Google, illumio, MobileIron, Okta, Palo Alto Networks, Proofpoint, Symantec, and Unisys. The following is the Forrester Wave™: Zero Trust eXtended Ecosystem Platform Providers, Q4 2019 graphic from the free reprint offered by MobileIron here.

Forrester Wave™: Zero Trust eXtended Ecosystem Platform Providers, Q4 2019

 

Summary of What’s New In Forrester’s Zero Trust Wave This Year

The latest Forrester Wave adds in and places high importance on Zero Trust eXtended (ZTX) ecosystem advocacy, allocating 25% of the weight associated with the Strategy section on the scorecard. Forrester sees Zero Trust as a journey, with vendors who provide the greatest assistance and breadth of benefits on a unified platform being the most valuable. The Wave makes it clear that Zero Trust doesn’t refer to a specific technology but rather the orchestration of several technologies to enable and strengthen their Zero Trust framework. Key insights from what’s new this year in the Forrester Wave™: Zero Trust eXtended Ecosystem Platform Providers, Q4 2019 include the following:

  • Platforms are powering the Zero Trust landscape and delivering the greatest value to organizations on their Zero Trust journey. Forrester notes that organizations are getting the greatest benefits from choosing a single vendor who can deliver integrated, real-world capabilities instead of marketing hype.
  • Ease of use and excellent usability need to be the new normal when it comes to Zero Trust Solutions. Forrester sees a widening gap between Zero Trust solutions that take administrator and end-user experience into account and deliver the critical capabilities that make ZTX frameworks successful and those that don’t. It’s common knowledge of how challenging Zero Trust solutions and platforms are to deploy. Raising the issue of improving usability will help expand the total available market for Zero Trust solutions and increase the effectiveness of every platform installed.
  • A much stronger focus on Application Programmer Interfaces (APIs) and integration. This year’s Wave places much greater emphasis on APIs and the need to integrate every application and Web Service across a Zero Trust platform. The greater the integration expertise of any Zero Trust vendor, the faster an organization adopting their systems and platforms will attain secured stability across every threat surface.
  • Forrester advises Zero Trust vendors to concentrate on four key aspects of their strategy if they’re going to deliver overwhelming value to organizations they’re selling to. These four key aspects include actively advocating for Zero Trust as evidenced by driving product strategies that prioritize needed capabilities; supporting micro-segmentation; enforcing policy everywhere by first enabling extensive, proven integrations using well-documented and tested APIs that make it possible to enable policy definition and enforcement across enterprises; and provide identity beyond identity and access management (IAM).
  • Cyxtera Technologies, MobileIron, and Proofpoint are new to the Zero Trust World, each bringing valuable contributions to enterprises on their Zero Trust journey. Of the three, MobileIron is the most noteworthy as their approach to Zero Trust begins with the device and scales across mobile infrastructures. Forrester observes that “MobileIron’s recently released authenticator, which enables passwordless authentication to cloud services, is a must for future-state Zero Trust enterprises and speaks to its innovation in this space.” MobileIron’s product suite also includes a federated policy engine that enables administrators to control and better command the myriad of devices and endpoints that enterprises rely on today. Forrester sees all three vendors as having excellent integration at the platform level, a key determinant of how effective they will be in providing support to enterprises pursuing Zero Trust Security strategies in the future.

Conclusion

The latest Forrester Wave™: Zero Trust eXtended Ecosystem Platform Providers, Q4 2019, reflects the growing maturity of the Zero Trust eXtended (ZTX) Ecosystem. Adding in Zero Trust eXtended (ZTX) ecosystem advocacy and weighing it at 25% reflects how serious Forrester is about evaluating vendors on solid, real product features over marketing claims. The increased focus on platforms, APIs and integration also reflect the growing maturity of enterprises adopting Zero Trust frameworks today.

Financial Services Rely On BYOD – How Do They Stay Secure?

Financial Services Rely On BYOD – How Do They Stay Secure?

Bottom Line: 2020 is going to be the year companies launch more digital business initiatives that depend on BYOD than ever before, making Zero Trust Security a key contributor to their success.

Financial Services firms are at an inflection point going into 2020. Mobile-first products and services now dominate their product roadmaps for next year, with applications’ speed and security being paramount. In fintech, DevOps teams have been working with AngularJS for years now, and the scale and speed of their applications reflect their expertise. How well existing IT infrastructure flexes to support the new mobile-first product and services strategies depends on how quickly members of IT, customer service, and customer success teams can respond. BYOD is proving invaluable in achieving the speed of response these new digital business models require.

In 2020 more employees of Financial Services firms will rely on their mobile devices as their primary form of digital ID than has ever been the case before. A recent survey conducted by IDG in association with MobileIron found that 89% of security leaders believe mobile devices will be the primary digital ID employees use to gain access to resources and get work done. The CIOs I’ve spoken agree. A copy of the IDG and MobileIron study, Say Goodbye to Passwords, can be downloaded here.

Counting On BYOD To Deliver Responsiveness And Speed

CIO and IT bonuses are often indexed to the revenue contributions their new products and services deliver, making speed, scale, security, and responsiveness the most important features of all. Fintech CIOs are saying that BYOD is proving indispensable in scaling IT in support of new digital business initiatives as a result. By 2022, 75% of smartphones used in the enterprise will bring your own device (BYOD), up from 35% in 2018, forcing a migration from device-centric management to app- and data-centric management, according to Gartner’s Competitive Landscape: Managed Mobility Services.

Two factors continue to propel BYOD adoption in financial services, fueling the need for Zero Trust Security across every mobile device. The first is the need for real-time responsiveness from internal team members and the second is having every threat surface protected without degrading the time to respond to customers. Every CIO, IT and Product Management leader I’ve spoken with mention the race they are in to deliver mobile-first products and services early in 2020 that redefine their business.  With every identity being a new security perimeter, Financial Services firms are relying on Unified Endpoint Management (UEM), multi-factor authentication (MFA), and additional zero trust-enabling technologies as an integral part of their Enterprise Mobility Management (EMM) strategy. Their goal is to create a Zero Trust Security framework that protects every mobile device endpoint. Leaders in this field include MobileIron, who also provides zero sign-on (ZSO), and mobile threat defense (MTD) in addition to UEM and EMM solutions today.  The following are the key features every BYOD program needs to offer to stay secure, scale and succeed in 2020:

  •  Separation of business and personal data is a must-have in any BYOD security strategy. FinTechs who have the greatest success with BYOD as part of their digital initiatives are relying on Enterprise Mobility Management (EMM) to selectively wipe only the business data from a device in the event it is compromised.
  • An interactive, intuitive user experience that can be quickly customized at scale by role, department, and workflow requirements without impacting user productivity. Too often BYOD users have had to trade off having stronger security on their own devices versus using a company-provided smartphone to get remote work done. The best EMM and UEM solutions in the market today enable Zero Trust by treating every identity as a new security perimeter.
  • 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.
  • Limit access to internal system resources based on the employee’s department, role, and function to eliminate the risk of confidential data ending up in a personal app. EMM solutions have progressed quickly, especially on the dimension of providing Zero Trust Security across BYOD networks. Look for an EMM solution that gives the administrator the flexibility of limiting mobile device access to a specific series of services and access points based on an employees’ role in a specific department and the scope of data they need access to.
  • Proven multi-operating system expertise and support for legacy internally created mobile applications and services. One of the main reasons BYOD is succeeding today as an enablement strategy is the freedom it gives users to select the device they prefer to work with. Supporting Android and IOS is a given. Look for advanced EMM and UEM solutions that also support legacy mobility applications. The best BYOD security solutions deliver device and application compatibility with no degradation in security or performance.

Conclusion – Why BYOD Strategies Need Zero Trust Now

Trust-but-verify isn’t working today. Attackers are capitalizing on it by stealing or buying privileged access credentials, accessing any system or database they choose. Financial Services firms fully expect their new products and services launching in 2020 to face an onslaught of breach and hacking attempts. Trust-but-verify approaches that are propagated across an enterprises’ BYOD base of devices using Virtual Private Networks and demilitarized zones (DMZ) impede employee’s productivity, often force login authentication. Trust-but verify doesn’t scale well into BYOD scenarios, leaving large gaps attackers can gain access to valuable internal data and systems. For BYOD users, trust-but-verify reduces productivity, delivers poor user experiences, and for new business models, slower customer response times.

By going to a Zero Trust Framework, Financial Services firms will be able to treat every identity and the mobile device they are using as their new security perimeter. Basing a BYOD strategy on a Zero Trust Framework enables any organization to find the correlation between the user, device, applications, and networks in milliseconds, thwarting potential threats before granting secure access to the device. Leaders delivering Zero Trust for BYOD include MobileIron, who provides endpoint management (UEM) capabilities with enabling technologies of zero sign-on (ZSO) user and device authentication, multi-factor authentication (MFA), and mobile threat detection (MTD).

Three Reasons Why Killing Passwords Improves Your Cloud Security

Jack Dorsey’s Twitter account getting hacked by having his telephone number transferred to another account without his knowledge is a wake-up call to everyone of how vulnerable mobile devices are. The hackers relied on SIM swapping and convincing Dorsey’s telecom provider to bypass requiring a passcode to modify his account. With the telephone number transferred, the hackers accessed the Twitter founder’s account. If the telecom provider had adopted zero trust at the customer’s mobile device level, the hack would have never happened.

Cloud Security’s Weakest Link Is Mobile Device Passwords

The Twitter CEO’s account getting hacked is the latest in a series of incidents that reflect how easy it is for hackers to gain access to cloud-based enterprise networks using mobile devices. Verizon’s Mobile Security Index 2019 revealed that the majority of enterprises, 67%, are the least confident in the security of their mobile assets than any other device. Mobile devices are one of the most porous threat surfaces a business has. They’re also the fastest-growing threat surface, as every employee now relies on their smartphones as their ID. IDG’s recent survey completed in collaboration with MobileIron, titled Say Goodbye to Passwords found that 89% of security leaders believe that mobile devices will soon serve as your digital ID to access enterprise services and data.

Because they’re porous, proliferating and turning into primary forms of digital IDs, mobile devices and their passwords are a favorite onramp for hackers wanting access to companies’ systems and data in the cloud. It’s time to kill passwords and shut down the many breach attempts aimed at cloud platforms and the valuable data they contain.

Three Reasons Why Killing Passwords Improves Your Cloud Security

Killing passwords improve cloud security by:

  1. Eliminating privileged access credential abuse. Privileged access credentials are best sellers on the Dark Web, where hackers bid for credentials to the world’s leading banking, credit card, and financial management systems. Forrester estimates that 80% of data breaches involve compromised privileged credentials, and a recent survey by Centrify found that 74% of all breaches involved privileged access abuse. Killing passwords shuts down the most common technique hackers use to access cloud systems.
  2. Eliminating the threat of unauthorized mobile devices accessing business cloud services and exfiltrating data. Acquiring privileged access credentials and launching breach attempts from mobile devices is the most common hacker strategy today. By killing passwords and replacing them with a zero-trust framework, breach attempts launched from any mobile device using pirated privileged access credentials can be thwarted. Leaders in the area of mobile-centric zero trust security include MobileIron, whose innovative approach to zero sign-on solves the problems of passwords at scale. When every mobile device is secured through a zero-trust platform built on a foundation of unified endpoint management (UEM) capabilities, zero sign-on from managed and unmanaged services become achievable for the first time.
  3. Giving organizations the freedom to take a least-privilege approach to grant access to their most valuable cloud applications and platforms. Identities are the new security perimeter, and mobile devices are their fastest-growing threat surface. Long-standing traditional approaches to network security, including “trust but verify” have proven ineffective in stopping breaches. They’ve also shown a lack of scale when it comes to protecting a perimeter-less enterprise. What’s needed is a zero-trust network that validates each mobile device, establishes user context, checks app authorization, verifies the network, and detects and remediates threats before granting secure access to any device or user. If Jack Dorsey’s telecom provider had this in place, his and thousands of other people’s telephone numbers would be safe today.

Conclusion

The sooner organizations move away from being so dependent on passwords, the better. The three reasons why killing passwords improve cloud security are just the beginning. Imagine how much more effective distributed DevOps teams will be when security isn’t a headache for them anymore, and they can get to the cloud-based resources they need to get apps built. And with more organizations adopting a mobile-first development strategy, it makes sense to have a mobile-centric zero-trust network engrained in key steps of the DevOps process. That’s the future of cloud security, starting with the DevOps teams creating the next generation of apps today.

Why Manufacturing Supply Chains Need Zero Trust

  • According to the 2019 Verizon Data Breach Investigation Report, manufacturing has been experiencing an increase in financially motivated breaches in the past couple of years, whereby most breaches involve Phishing and the use of stolen credentials.
  • 50% of manufacturers report experiencing a breach over the last 12 months, 11% of which were severe according to Sikich’s 5th Manufacturing and Distribution Survey, 2019.
  • Manufacturing’s most commonly data compromised includes credentials (49%), internal operations data (41%), and company secrets (36%) according to the 2019 Verizon Data Breach Investigation Report.
  • Manufacturers’ supply chains and logistics partners targeted by ransomware which have either had to cease operations temporarily to restore operations from backup or have chosen to pay the ransom include Aebi SchmidtASCO Industries, and COSCO Shipping Lines.

Small Suppliers Are A Favorite Target, Ask A.P. Møller-Maersk

Supply chains are renowned for how unsecured and porous they are multiple layers deep. That’s because manufacturers often only password-protect administrator access privileges for trusted versus untrusted domains at the operating system level of Windows NT Server, haven’t implemented multi-factor authentication (MFA), and apply a trust but verify mindset only for their top suppliers. Many manufacturers don’t define, and much less enforce, supplier security past the first tier of their supply chains, leaving the most vulnerable attack vectors unprotected.

It’s the smaller suppliers that hackers exploit to bring down many of the world’s largest manufacturing companies. An example of this is how an accounting software package from a small supplier, Linkos Group, was infected with a powerful ransomware agent, NotPetya, bringing one of the world’s leading shipping providers,  A.P. Møller-Maersk, to a standstill. Linkos’ Group accounting software was first installed in the A.P. Møller-Maersk offices in Ukraine. The NotPetya ransomware was able to take control of the local office servers then propagate itself across the entire A.P. Møller-Maersk network. A.P. Møller-Maersk had to reinstall their 4,000 servers, 45,000 PCs, and 2500 applications, and the damages were between $250M to $300M. Security experts consider the ransomware attack on A.P. Møller-Maersk to be one of the most devastating cybersecurity attacks in history. The Ukraine-based group of hackers succeeded in using an accounting software update from one of A.P. Møller-Maersk’s smallest suppliers to bring down one of the world’s largest shipping networks. My recent post, How To Deal With Ransomware In A Zero Trust World explains how taking a Zero Trust Privilege approach minimizes the risk of falling victim to ransomware attacks. Ultimately, treating identity as the new security perimeter needs to be how supply chains are secured. The following geographical analysis of the attack was provided by CargoSmart, showing how quickly NotPetya ransomware can spread through a global network:

CargoSmart provided a Vessel Monitoring Dashboard to monitor vessels during this time of recovery from the cyber attack.

Supply Chains Need To Treat Every Supplier In Their Network As A New Security Perimeter

The more integrated a supply chain, the more the potential for breaches and ransomware attacks. And in supply chains that rely on privileged access credentials, it’s a certainty that hackers outside the organization and even those inside will use compromised credentials for financial gain or disrupt operations. Treating every supplier and their integration points in the network as a new security perimeter is critical if manufacturers want to be able to maintain operations in an era of accelerating cybersecurity threats.

Taking a Zero Trust Privilege approach to securing privileged access credentials will help alleviate the leading cause of breaches in manufacturing today, which is privileged access abuse. By taking a “never trust, always verify, and enforce least privilege” approach, manufacturers can protect the “keys to the kingdom,” which are the credentials hackers exploit to take control over an entire supply chain network.

Instead of relying on trust but verify or trusted versus untrusted domains at the operating system level, manufacturers need to have a consistent security strategy that scales from their largest to smallest suppliers. Zero Trust Privilege could have saved A.P. Møller-Maersk from being crippled by a ransomware attack by making it a prerequisite that every supplier must have ZTP-based security guardrails in place to do business with them.

Conclusion

Among the most porous and easily compromised areas of manufacturing, supply chains are the lifeblood of any production business, yet also the most vulnerable. As hackers become more brazen in their ransomware attempts with manufacturers and privileged access credentials are increasingly sold on the Dark Web, manufacturers need a sense of urgency to combat these threats. Taking a Zero Trust approach to securing their supply chains and operations, helps manufacturers to implement least privilege access based on verifying who is requesting access, the context of the request, and the risk of the access environment. By implementing least privilege access, manufacturers can minimize the attack surface, improve audit and compliance visibility, and reduce risk, complexity, and costs for the modern, hybrid manufacturing enterprise.

Mobile Identity Is The New Security Perimeter

  • 86% of enterprise executives say that mobile threats are growing faster than any other according to Verizon’s Mobile Security Index 2019 and 67% of enterprise execs are less confident about the security of their mobile devices compared to other IT assets.
  • Mobile devices are hackers’ favorite platform to target, with over 905,000 malware packages installed in Q1 of this year alone and over 5.3 million in 2018, according to Statistica.
  • 38% of mobile devices introduce unnecessary risk into the organization based on an analysis of privacy and security settings according to MobileIron’s Global Threat Report.

Mobile devices reflect you and your customers’ identity in the many apps, data, and ongoing activities you and they choose to engage in. Every enterprise looking to reinvent itself by scaling digital business strategies is putting mobile devices at the center of growth plans because they are everyone’s identity.

89% of security leaders believe that mobile devices will serve as your digital ID to access enterprise services and data in the near future according to a recent survey by IDG completed in conjunction with MobileIron, titled Say Goodbye to Passwords. You can download a copy of the study here. Mobile devices are increasingly becoming the IDs enterprises rely on to create and scale a mobile-centric zero trust security network throughout their organizations.

Enterprises are relying on mobile devices more than ever before, personalizing them for each associate or employee to launch and scale new business initiatives. These factors combined are leading to a rapid expansion of, and reliance on mobile devices as the single digital ID enterprises rely on to enable perimeter-less borders. The following IDG survey results reflect enterprise security leaders’ prediction of when mobile devices will authenticate Identity Access Management (IAM):

Passwords Aren’t Strong Enough For A Zero Trust World   

The bottom line is that passwords are the weakest defense in a zero-trust world. Ineffective in stopping privileged credential-based breaches, with the most privileged system access credentials shared and at times resold by insiders, passwords give hackers a key to the front door of enterprises’ systems. They no longer have to hack their way in; stolen or purchased passwords and privileged access credentials available on the Dark Web-enable hackers to use the front door of enterprise IT.

Both the IDG study published in conjunction with MobileIronSay Goodbye to Passwords and Passwordless Authentication: Bridging the Gap Between High-Security and Low-Friction Identity Management by Enterprise Management Associates (EMA) validate how weak passwords are in a zero-trust world and the many reasons they need to go.  Here are a few of the many factors that favor move beyond passwords to mobile-centric zero-trust security framework:

  • While 95% of enterprise executives say they have multi-factor authentication (MFA) implemented, a little more than half of their users are using it. Senior security executives say they doubt the security benefits (36%), expense (33%), and the decision that users don’t access sensitive information (45%), making MFA pointless.
  • 86% of senior security executives would dump password use as an authentication method if they could. In fact, nearly half of those surveyed cited eliminating passwords as a way to cut almost half of all breach attempts. Perceived security shortcomings are a key reason why almost three-quarters of these security leaders say they’re actively looking for replacements for passwords for authentication.
  • 62% of the senior security execs reported extreme user irritation with password lockouts. The percentage of respondents who reported extreme user frustration at password lockouts rose to 67% at companies with more than 5,000 employees. Users having to call in and change their password with IT’s help is a major drain on productivity and worker’s time. Senior security executives want to abandon passwords given how high maintenance they are to support and how they drain time and productivity from any organization.   

Creating A Mobile Zero Trust Network

The new reality for any enterprise is that mobile device identities are the new security perimeter. Mobility devices ranging from smartphones to tablets are exponentially expanding the threat surfaces that enterprises need to secure and passwords aren’t scaling to do the job. Instead of just relying on a password, secure access needs to be determined by a “never trust, always verify” approach that requires verification of the device, user, apps, networks, and evaluation of the presence of threats before granting access.
The formidable challenges of securing a perimeter-less enterprise where the mobile device identities are the new security perimeter need a mobile-centric zero-trust network to succeed. Zero trust validates the device, establishes user context, checks app authorization, verifies the network, and detects and remediates threats—all before granting secure access to any device or user.  Zero trust platforms are built on unified endpoint management (UEM) systems and their enabling technologies including zero sign-on (ZSO) user and device authentication, multi-factor authentication (MFA), and mobile threat detection (MTD). The following illustration reflects best practices in provisioning, granting access, protecting, enforcing, and provisioning access privileges for a mobile Zero Trust network.

Conclusion

Your smartphone or mobile device of choice is increasingly going to become your ID and secure access to resources across the enterprises you work for. Passwords have proven to be ineffective in thwarting the most common source of breaches, which is privileged credential abuse.  Enterprise executives interviewed for two completely different studies reached the same conclusion: IT infrastructure will be much safer once passwords are gone.

The Truth About Privileged Access Security On AWS And Other Public Clouds

 

Bottom Line: Amazon’s Identity and Access Management (IAM) centralizes identity roles, policies and Config Rules yet doesn’t go far enough to provide a Zero Trust-based approach to Privileged Access Management (PAM) that enterprises need today.

AWS provides a baseline level of support for Identity and Access Management at no charge as part of their AWS instances, as do other public cloud providers. Designed to provide customers with the essentials to support IAM, the free version often doesn’t go far enough to support PAM at the enterprise level. To AWS’s credit, they continue to invest in IAM features while fine-tuning how Config Rules in their IAM can create alerts using AWS Lambda. AWS’s native IAM can also integrate at the API level to HR systems and corporate directories, and suspend users who violate access privileges.

In short, native IAM capabilities offered by AWS, Microsoft Azure, Google Cloud, and more provides enough functionality to help an organization get up and running to control access in their respective homogeneous cloud environments. Often they lack the scale to fully address the more challenging, complex areas of IAM and PAM in hybrid or multi-cloud environments.

The Truth about Privileged Access Security on Cloud Providers Like AWS

The essence of the Shared Responsibility Model is assigning responsibility for the security of the cloud itself including the infrastructure, hardware, software, and facilities to AWS and assign the securing of operating systems, platforms, and data to customers. The AWS version of the Shared Responsibility Model, shown below, illustrates how Amazon has defined securing the data itself, management of the platform, applications and how they’re accessed, and various configurations as the customers’ responsibility:

AWS provides basic IAM support that protects its customers against privileged credential abuse in a homogenous AWS-only environment. Forrester estimates that 80% of data breaches involve compromised privileged credentials, and a recent survey by Centrify found that 74% of all breaches involved privileged access abuse.

The following are the four truths about privileged access security on AWS (and, generally, other public cloud providers):

  1. Customers of AWS and other public cloud providers should not fall for the myth that cloud service providers can completely protect their customized and highly individualized cloud instances. As the Shared Responsibility Model above illustrates, AWS secures the core areas of their cloud platform, including infrastructure and hosting services. AWS customers are responsible for securing operating systems, platforms, and data and most importantly, privileged access credentials. Organizations need to consider the Shared Responsibility Model the starting point on creating an enterprise-wide security strategy with a Zero Trust Security framework being the long-term goal. AWS’s IAM is an interim solution to the long-term challenge of achieving Zero Trust Privilege across an enterprise ecosystem that is going to become more hybrid or multi-cloud as time goes on.
  2. Despite what many AWS integrators say, adopting a new cloud platform doesn’t require a new Privileged Access Security model. Many organizations who have adopted AWS and other cloud platforms are using the same Privileged Access Security Model they have in place for their existing on-premises systems. The truth is the same Privileged Access Security Model can be used for on-premises and IaaS implementations. Even AWS itself has stated that conventional security and compliance concepts still apply in the cloud. For an overview of the most valuable best practices for securing AWS instances, please see my previous post, 6 Best Practices For Increasing Security In AWS In A Zero Trust World.
  3. Hybrid cloud architectures that include AWS instances don’t need an entirely new identity infrastructure and can rely on advanced technologies, including Multi-Directory Brokering. Creating duplicate identities increases cost, risk, and overhead and the burden of requiring additional licenses. Existing directories (such as Active Directory) can be extended through various deployment options, each with their strengths and weaknesses. Centrify, for example, offers Multi-Directory Brokering to use whatever preferred directory already exists in an organization to authenticate users in hybrid and multi-cloud environments. And while AWS provides key pairs for access to Amazon Elastic Compute Cloud (Amazon EC2) instances, their security best practices recommend a holistic approach should be used across on-premises and multi-cloud environments, including Active Directory or LDAP in the security architecture.
  4. It’s possible to scale existing Privileged Access Management systems in use for on-premises systems today to hybrid cloud platforms that include AWS, Google Cloud, Microsoft Azure, and other platforms. There’s a tendency on the part of system integrators specializing in cloud security to oversell cloud service providers’ native IAM and PAM capabilities, saying that a hybrid cloud strategy requires separate systems. Look for system integrators and experienced security solutions providers who can use a common security model already in place to move workloads to new AWS instances.

Conclusion

The truth is that Identity and Access Management solutions built into public cloud offerings such as AWS, Microsoft Azure, and Google Cloud are stop-gap solutions to a long-term security challenge many organizations are facing today. Instead of relying only on a public cloud provider’s IAM and security solutions, every organization’s cloud security goals need to include a holistic approach to identity and access management and not create silos for each cloud environment they are using. While AWS continues to invest in their IAM solution, organizations need to prioritize protecting their privileged access credentials – the “keys to the kingdom” – that if ever compromised would allow hackers to walk in the front door of the most valuable systems an organization has. The four truths defined in this article are essential for building a Zero Trust roadmap for any organization that will scale with them as they grow. By taking a “never trust, always verify, enforce least privilege” strategy when it comes to their hybrid- and multi-cloud strategies, organizations can alleviate costly breaches that harm the long-term operations of any business.

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