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Posts tagged ‘Next-Gen Access’

Identities Are The New Security Perimeter

  • Privileged credentials for accessing an airport’s security system were recently for sale on the Dark Web for just $10, according to McAfee.
  • 18% of healthcare employees are willing to sell confidential data to unauthorized parties for as little as $500 to $1,000, and 24% of employees know of someone who has sold privileged credentials to outsiders, according to a recent Accenture survey.
  • Apple employees in Ireland have been offered as much as €20,000 ($22,878) in exchange for their privilege access credentials in 2016, according to Business Insider.
  • Privileged access credentials belonging to more than 1 million staff at a top UK law firm have been found for sale on the Dark Web.

There’s been a 135% year-over-year increase in financial data for sale on the Dark Web between the first half of 2017 and the first half of 2018. The Dark Web is now solidly established as a globally-based trading marketplace for a myriad of privileged credentials including access procedures with keywords, and corporate logins and passwords where transactions happen between anonymous buyers and sellers. It’s also the online marketplace of choice where disgruntled, angry employees turn to for revenge against employers. An employee at Honeywell, angry over not getting a raise, used the Dark Web as an intermediary to sell DEA satellite tracking system data he accessed from unauthorized accounts he created to Mexican drug cartels for $2M. He was caught in a sting operation, the breach was thwarted, and he was arrested.

Your Most Vulnerable Threat Surface Is A Best Seller

Sites on the Dark Web offer lucrative payment in bitcoin and other anonymous currencies for administrators’ accounts at leading European, UK and North American banking institutions and corporations. Employees are offering their privileged credentials for sale to the highest bidder out of anger, revenge or for financial gain anonymously from online auction sites.

Privileged access credentials are a best-seller because they provide the intruder with “the keys to the kingdom.” By leveraging a “trusted” identity, a hacker can operate undetected and exfiltrate sensitive data sets without raising any red flags. This holds especially true when the organizations are not applying multi-factor authentication (MFA) or risk-based access controls to limit any type of lateral movement after unauthorized access. Without these security measures in place, hackers can quickly access any digital businesses’ most valuable systems to exfiltrate valuable data or sabotage systems and applications.

81% of all hacking-related breaches leverage either stolen and weak passwords, according to Verizon’s 2017 Data Breach Investigations Report. A recent study by Centrify and Dow Jones Customer Intelligence titled, CEO Disconnect is Weakening Cybersecurity (31 pp, PDF, opt-in), found that CEOs can reduce the risk of a security breach by rethinking their Identity and Access Management (IAM) strategies. 68% of executives whose companies experienced significant breaches in hindsight believe that the breach could have been prevented by implementing more mature identity and access management strategies.

In A Zero Trust World, Identities Are The New Security Perimeter

The buying and selling of privileged credentials are proliferating on the Dark Web today and will exponentially increase in the years to come. Digital businesses need to realize that dated concepts of trusted and untrusted domains have been rendered ineffective. Teams of hackers aren’t breaking into secured systems; they’re logging in.

Digital businesses who are effective in thwarting privileged credential access have standardized on Zero Trust Security (ZTS) to ensure every potentially compromised endpoint, and threat surface within and outside a company is protected. Not a single device, login attempt, resource requested or other user-based actions are trusted, they are verified through Next-Gen Access (NGA).

Zero Trust Security relies upon four pillars: real-time user verification, device validation, access and privilege limitation, while also learning and adapting to verified user behaviors. Leaders in this area such as Centrify are relying on machine learning technology to calculate risk scores based on a wide spectrum of variables that quantitatively define every access attempt, including device, operating system, location, time of day, and several other key factors.

Depending on their risk scores, users are asked to validate their true identity through MFA further. If there are too many login attempts, risk scores increase quickly, and the NGA platform will automatically block and disable an account. All this happens in seconds and is running on a 24/7 basis ― monitoring every attempted login from anywhere in the world.

A recent Forrester Research thought leadership paper titled, Adopt Next-Gen Access to Power Your Zero Trust Strategy (14 pp., PDF, opt-in), provides insights into how NGA enables ZTS to scale across enterprises, protecting every endpoint and threat surface. The study found 32% of enterprises are excelling at the four ZTS pillars of verifying the identity of every user, validating every device using Mobile Data Management (MDM) and Mobile App Management (MAM), limiting access and privileges and learning and adapting using machine learning to analyze user behavior and gain greater insights from analytics.

NGA is a proven strategy for thwarting stolen and sold privileged access credentials from gaining access to a digital business’ network and systems, combining Identity-as-a-Service, Enterprise Mobility Management (EMM) and Privileged Access Management (PAM). Forrester found that scalable Zero Trust Security strategies empowered by NGA lead to increased organization-wide productivity (71%), reduced overall risk (70%) and reduced cost on compliance initiatives (70%).

Additionally, insights gained from user behavior through machine learning allow for greater efficiency — both on reduced compliance (31% more confident) and overall security costs (40% more likely to be confident), as well through increased productivity for the organization (8% more likely to be confident). The following graphic from the study ranks respondents’ answers.

Conclusion

Making sure your company’s privileged access credentials don’t make the best seller list on the Dark Web starts with a strong, scalable ZTS strategy driven by NGA. Next-Gen Access continually learns the behaviors of verified users, solving a long-standing paradox of user experience in security and access management. However, every digital business needs to focus on how the four pillars of Zero Trust Security apply to them and how they can take a pragmatic, thorough approach to secure every threat surface they have.

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IBM’s 2018 Data Breach Study Shows Why We’re In A Zero Trust World Now

  • Digital businesses that lost less than 1% of their customers due to a data breach incurred a cost of $2.8M, and if 4% or more were lost the cost soared to $6M.
  • U.S. based breaches are the most expensive globally, costing on average $7.91M with the highest global notification cost as well, $740,000.
  • A typical data breach costs a company $3.86M, up 6.4% from $3.62M last year.
  • Digital businesses that have security automation can minimize the costs of breaches by $1.55M versus those businesses who are not ($2.88M versus $4.43M).
  • 48% of all breaches are initiated by malicious or criminal attacks.
  • Mean-time-to-identify (MTTI) a breach is 197 days, and the mean-time-to-contain (MTTC) is 69 days.

These and many other insights into the escalating costs of security breaches are from the 2018 Cost of a Data Breach Study sponsored by IBM Security with research independently conducted by Ponemon Institute LLC. The report is downloadable here (PDF, 47 pp. no opt-in).

The study is based on interviews with more than 2,200 compliance, data protection and IT professionals from 477 companies located in 15 countries and regions globally who have experienced a data breach in the last 12 months. This is the first year the use of Internet of Things (IoT) technologies and security automation are included in the study. The study also defines mega breaches as those involving over 1 million records and costing $40M or more. Please see pages 5, 6 and 7 of the study for specifics on the methodology.

The report is a quick read and the data provided is fascinating. One can’t help but reflect on how legacy security technologies designed to protect digital businesses decades ago isn’t keeping up with the scale, speed and sophistication of today’s breach attempts. The most common threat surface attacked is compromised privileged credential access. 81% of all breaches exploit identity according to an excellent study from Centrify and Dow Jones Customer Intelligence, CEO Disconnect is Weakening Cybersecurity (31 pp, PDF, opt-in).

The bottom line from the IBM, Centrify and many other studies is that we’re in a Zero Trust Security (ZTS) world now and the sooner a digital business can excel at it, the more protected they will be from security threats. ZTS begins with Next-Gen Access (NGA) by recognizing that every employee’s identity is the new security perimeter for any digital business.

Key takeaways from the study include the following:

  • U.S. based breaches are the most expensive globally, costing on average $7.91M, more than double the global average of $3.86M. Nations in the Middle East have the second-most expensive breaches globally, averaging $5.31M, followed by Canada, where the average breach costs a digital business $4.74M. Globally a breach costs a digital business $3.86M this year, up from $3.62M last year. With the costs of breaches escalating so quickly and the cost of a breach in the U.S. leading all nations and outdistancing the global average 2X, it’s time for more digital businesses to consider a Zero Trust Security strategy. See Forrester Principal Analyst Chase Cunningham’s recent blog post What ZTX Means For Vendors And Users, from the Forrester Research blog for where to get started.

  • The number of breached records is soaring in the U.S., the 3rd leading nation of breached records, 6,850 records above the global average. The Ponemon Institute found that the average size of a data breach increased 2.2% this year, with the U.S. leading all nations in breached records. It now takes an average of 266 days to identify and contain a breach (Mean-time-to-identify (MTTI) a breach is 197 days and the mean-time-to-contain (MTTC) is 69 days), so more digital businesses in the Middle East, India, and the U.S. should consider reorienting their security strategies to a Zero Trust Security Model.

  • French and U.S. digital businesses pay a heavy price in customer churn when a breach happens, among the highest in the world. The following graphic compares abnormally high customer churn rates, the size of the data breach, average total cost, and per capita costs by country.

  • U.S. companies lead the world in lost business caused by a security breach with $4.2M lost per incident, over $2M more than digital businesses from the Middle East. Ponemon found that U.S. digitally-based businesses pay an exceptionally high cost for customer churn caused by a data breaches. Factors contributing to the high cost of lost business include abnormally high turnover of customers, the high costs of acquiring new customers in the U.S., loss of brand reputation and goodwill. U.S. customers also have a myriad of competitive options and their loyalty is more difficult to preserve. The study finds that thanks to current notification laws, customers have a greater awareness of data breaches and have higher expectations regarding how the companies they are loyal to will protect customer records and data.

Conclusion

The IBM study foreshadows an increasing level of speed, scale, and sophistication when it comes to how breaches are orchestrated. With the average breach globally costing $4.36M and breach costs and lost customer revenue soaring in the U.S,. it’s clear we’re living in a world where Zero Trust should be the new mandate.

Zero Trust Security starts with Next-Gen Access to secure every endpoint and attack surface a digital business relies on for daily operations, and limit access and privilege to protect the “keys to the kingdom,” which gives hackers the most leverage. Security software providers including Centrify are applying advanced analytics and machine learning to thwart breaches and many other forms of attacks that seek to exploit weak credentials and too much privilege. Zero Trust is a proven way to stay at parity or ahead of escalating threats.

Zero Trust Security Is The Growth Catalyst IoT Needs

  • McKinsey predicts the Internet of Things (IoT) market will be worth $581B for ICT-based spend alone, growing at a Compound Annual Growth Rate (CAGR) between 7 and 15% according to their study Internet of Things The IoT opportunity – Are you ready to capture a once-in-a-lifetime value pool?
  • By 2020, Discrete Manufacturing, Transportation & Logistics and Utilities industries are projected to spend $40B each on IoT platforms, systems, and services according to Statista.
  • The Industrial Internet of Things (IIoT) market is predicted to reach $123B in 2021, attaining a CAGR of 7.3% through 2020 according to Accenture.

IoT is forecast to be one of the tech industry’s fastest-growing sectors in the next three to five years, as many market estimates like the ones above illustrate. The one factor that will fuel IoT to rapidly grow to new heights or deflate demand just as quickly is security across the myriad of endpoints.

Zero Trust Security (ZTS) is the force multiplier IoT needs to reach its true potential and must be designed into IoT networks if they are going to flex and scale for every endpoint and protect every threat surface.

IoT Needs A Security Wake-Up Call Now  

Industrial Control Systems (ICS) provides a cautionary tale for anyone who thinks enterprise networks don’t need endpoint security and the ability to control access from any point inside or outside an organization.

Chemical, electricity, food & beverage, gas, healthcare, oil, transportation, water services and other key infrastructure industries have relied on ICS applications and platforms for decades. They were designed to deliver reliability and uptime first with little if any effort put into securing them.

However, the glaring security gaps in ICS provide the following lessons for IoT adoption now and in the future:

  • Only digitally enable an endpoint that can verify if every person or device attempting access is authorized, down to the risk score and device level. ICS endpoints were added as fast as utility companies and manufacturers could enable them with speed of deployment, reliability measurement, and uptime being the highest priorities. Security wasn’t a priority with the results being predictable: now many nations’ power grids are vulnerable to attack due to this oversight. With IoT, utilities need to start designing in security to the sensor level using Next-Gen Access as the foundation, leveraging Identity-as-a-Service (IDaaS), Enterprise Mobility Management (EMM) and Privileged Access Management (PAM) to enable Zero Trust strategies organization-wide. Next-Gen Access calculates a risk score predicated on previous authorized login and resource access patterns for each verified account.  When there is an anomaly in account credentials’ use, users are requested to verify with Multi-Factor Authentication (MFA).
  • An ICS doesn’t learn from security mistakes, while NGA gets smarter with every breach attempt. A typical ICS is designed to make operations more efficient and reliable, not secure. Even with many endpoints of an ICS being digitally-enabled today with device retrofitting common, security still isn’t a priority. Instead of digitally enabling IoT sensors purely for efficiency, Next-Gen Access needs to be designed in at the sensor level to protect entire networks. Zero Trust Security’s four main pillars are to verify the user, validate their device, limit access and privilege, and learn and adapt. Machine learning is relied on for learning and adapting in real-time to access requests and threats.
  • ICS assumes no bad actors exist while NGA knows how to stop them. Bad actors, or those who want to breach a system for financial gain or to harm a business, aren’t just outside. Verizon’s 2017 Data Breach Investigations Report finds that 25% of all breaches are initiated from inside an organization and 75% outside which makes NGA essential for attaining Zero Trust Security on an enterprise level. Of the ICS being protected today, the majority are reliant on trusted and untrusted domains, a security technology over two decades old. When organized crime, state-sponsored hacking organizations or internal employees can quickly compromise privileged credentials, entire utility systems are at risk.
  • Replacing security-obsolete ICS with IoT-based systems that have NGA designed in to flex for every person and device shuts down physical and digital attack vectors organization-wide. The strategic security plan for any IoT-enabled enterprise has to prioritize faster automated discovery, configuration and response if it’s going to survive against highly orchestrated attacks. NGA has proven effective at thwarting unauthorized privileged credential attacks while continually learning from usage patterns of authorized and unauthorized users.

Conclusion

ICS have some of the most porous, incomplete security perimeters of any enterprise systems. 63% of all ICS-related vulnerabilities cause processing plants to lose control of operations, and 71% can obfuscate or block the view of operations immediately according to the Dragos Industrial Control Vulnerabilities 2017 in Review.  ICS needs an overhaul starting with Next-Gen Access, enabling Zero Trust Security across every employee and device that forms an organizations’ security perimeter.

Bain & Company released a study on the price elasticity of IoT-enabled products by security level. They found that 93% of the executives surveyed would pay an average of 22% more for devices with better security. Taken together, Bain estimates that improving security solutions for these devices could grow the IoT cybersecurity market by $9B to $11B.

The speed at which manufacturers are building smart, connected products accentuates the need for Zero Trust Security powered by Next-Gen Access from their inception. Security as an afterthought won’t be effective at the scale and pace of IoT.

Source: Bain Snap Chart, July 98, 2018 Better IoT Security Could Grow Device Market

 

Analytics Are Empowering Next-Gen Access And Zero Trust Security

Employee identities are the new security perimeter of any business.

80% of IT security breaches involve privileged credential access according to a Forrester study. According to the Verizon Mobile Security Index 2018 Report, 89% of organizations are relying on just a single security strategy to keep their mobile networks safe. And with Gartner predicting worldwide security spending reaching $96B this year, up 8% from 2017, it’s evident enterprises must adopt a more vigilant, focused strategy for protecting every threat surface and access point of their companies. IT security strategies based on trusted and untrusted domains are being rendered insufficient as hackers camouflage their attacks through compromised, privileged credentials. It’s happening so often that eight in ten breaches are now the result of compromised employee identities.

Thus, taking a Zero Trust Security (ZTS) approach to ensure every potential threat surface and endpoint, both within and outside a company, is protected, has become vital in today’s dynamic threat landscape. ZTS is an essential strategy for any digital business whose perimeters flex in response to customer demand, are using the Internet of Things (IoT) sensors to streamline supply chain and production logistics, and have suppliers, sales teams, support, and services all using mobile apps.  ZTS begins with Next-Gen Access (NGA) by providing companies with the agility they need to secure applications, devices, endpoints, and infrastructure as quickly as needed to support company growth. Both NGA and ZTS are empowered by analytics to anticipate and thwart a wide variety of cyber threats, the most common of which is compromised credential access.

How NGA Leverages Analytics to Secure Every Endpoint

NGA validates every access attempt by capturing and quickly analyzing a wide breadth of data including user identity, device, device operating system, location, time, resource request, and several other factors. As NGA is designed to verify every user and access attempt, it’s foundational to attaining Zero Trust Security across an IT infrastructure. One of the fascinating areas of innovation in enterprise security today is the rapid adoption of analytics and machine learning for verifying users across diverse enterprise networks. NGA platforms calculate and assign a risk score to every access attempt, determining immediately if verified users will get immediate access to resources requested, or be asked to verify their identity further through Multi-Factor Authentication (MFA).

Machine learning-based NGA platforms including Centrify calculate a risk score that quantifies the relative level of trust based on every access attempt across an IT infrastructure. NGA platforms rely on machine learning algorithms to continuously learn and generate contextual intelligence that is used to streamline verified user’s access while thwarting many potential threats ― the most common of which is compromised credentials. IT security teams can combine the insights gained from machine learning, user profiles, and contextual intelligence to fine-tune the variables and attributes that calculate risk scores using cloud-enabled analytics services.  An example of Centrify’s Analytics Services dashboard is shown below:

Visibility and Analytics are a Core Pillar of ZTS

Analytics, machine learning and their combined potential to produce contextual intelligence, real-time risk scores, and secure company perimeters to the individual access attempt level need a continual stream of data to increase their accuracy. Forrester’s Zero Trust Framework, shown below, illustrates how an enterprise-wide ZTS security strategy encompasses workloads, networks, devices, and people.  NGA is the catalyst that makes ZTS scale into each of these areas. It’s evident from the diagram how essential visibility and analytics are to a successful ZTS strategy. NGA provides incident data including reports of anomalous or atypical login and attempted resource behavior. Visibility and analytics applications from IBM, Splunk, Sumologic, and others are relied on to aggregate the data, anticipating and predicting breaches and advanced attacks. The result is a ZTS security strategy that begins with NGA that flexes and scales to the individual perimeter level as a digital business grows.

Source: What ZTX Means For Vendors And Users, Forrester Research Blog, January 23, 2018., Chase Cunningham, Principal Analyst.

Conclusion

Every company, whether they realize it or not, is in a race against time to secure every threat surface that could be compromised and used to steal or destroy data and systems.  Relying on yesterday’s security technologies to protect against tomorrow’s sophisticated, well-orchestrated threats isn’t scaling. Reading through the Verizon Mobile Security Index 2018 Report illustrates why Zero Trust Security is the future. Improving visibility throughout the network and reducing the time to breach detection, stopping malware propagation and reducing the scope and cost of internal and regulatory-mandated compliance requirements are just a few of the business benefits. Analytics and machine learning are the fuel enabling NGA to scale and support ZTS strategies’ success today.

Three Ways Machine Learning Is Revolutionizing Zero Trust Security

Bottom Line: Zero Trust Security (ZTS) starts with Next-Gen Access (NGA). Capitalizing on machine learning technology to enable NGA is essential in achieving user adoption, scalability, and agility in securing applications, devices, endpoints, and infrastructure.

How Next-Gen Access and Machine Learning Enable Zero Trust Security

Zero Trust Security provides digital businesses with the security strategy they need to keep growing by scaling across each new perimeter and endpoint created as a result of growth. ZTS in the context of Next-Gen Access is built on four main pillars: (1) verify the user, (2) validate their device, (3) limit access and privilege, and (4) learn and adapt. The fourth pillar heavily relies on machine learning to discover risky user behavior and apply for conditional access without impacting user experience by looking for contextual and behavior patterns in access data.

As ZTS assumes that untrusted users or actors already exist both inside and outside the network, machine learning provides NGA with the capability to assess data about users, their devices, and behavior to allow access, block access, or enforce additional authentication. With machine learning, policies and user profiles can be adjusted automatically and in real-time. While NGA enabled by machine learning is delivering dashboards and alerts, the real-time response to security threats predicated on risk scores is very effective in thwarting breaches before they start.

Building NGA apps based on machine learning technology yields the benefits of being non-intrusive, supporting the productivity of workforce and business partners, and ultimately allowing digital businesses to grow without interruption. For example, Centrify’s rapid advances in machine learning and Next-Gen Access to enable ZTS strategies makes this company one of the most interesting to watch in enterprise security.

The following are three ways machine learning is revolutionizing Zero Trust Security:

  1. Machine learning enables enterprises to adopt a risk-based security strategy that can flex with their business as it grows. Many digital businesses have realized that “risk is security’s new compliance,” and therefore are implementing a risk-driven rather than a compliance-driven approach. Relying on machine learning technology to assess user, device, and behavioral data for each access request derives a real-time risk score. This risk score can then be used to determine whether to allow access, block access, or step up authentication. In evaluating each access request, machine learning engines process multiple factors, including the location of the access attempt, browser type, operating system, endpoint device status, user attributes, time of day, and unusual recent privilege change. Machine learning algorithms are also scaling to take into account unusual command runs, unusual resource access histories, and any unusual accounts used, unusual privileges requested and used, and more. This approach helps thwart comprised credential attacks, which make up 81% of all hacking-related data breaches, according to Verizon.
  2. Machine learning makes it possible to accomplish security policy alignment at scale. To keep pace with a growing digital business’ need to flex and scale to support new business models, machine learning also assists in automatically adjusting user profiles and access policies based on behavioral patterns. By doing so, the need for IT staffers to review and adjust policies vanishes, freeing them up to focus on things that will grow the business faster and more profitably. On the other hand, end users are not burdened with step-up authentication once a prior abnormal behavior is identified as now typical behavior and therefore both user profile and policies updated.
  3. Machine learning brings greater contextual intelligence into authentication, streamlining the experience and increasing user adoption. Ultimately, the best security is transparent and non-intrusive. That’s where the use of risk-based authentication and machine learning technology comes into play. The main impediment to adoption for multi-factor authentication has been the perceived impact on the productivity and agility of end users. A recent study by Dow Jones Customer Intelligence and Centrify revealed that 62% of CEOs state that multi-factor authentication (MFA) is difficult to manage and is not user-friendly, while only 41% of technical officers (CIOs, CTOs, and CISOs) agree with this assessment. For example, having to manually type in a code that has been transmitted via SMS in addition to the already supplied username and password is often seen as cumbersome. Technology advancements are removing some of these objections by offering a more user-friendly experience, like eliminating the need to manually enter a one-time password on the endpoint, by enabling the user to simply click a button on their smartphone. Nonetheless, some users still express frustration with this additional step, even if it is relatively quick and simple. To overcome these remaining barriers to adoption, machine learning technology contributes to minimizing the exposure to step up authentication over time, as the engine learns and adapts to the behavioral patterns.

In Conclusion

Zero Trust Security through the power of Next-Gen Access is allowing digital businesses to continue on their path of growth while safeguarding their patented ideas and intellectual property. Relying on machine learning technology for Next-Gen Access results in real-time security, allowing to identify high-risk events and ultimately greatly minimizing the effort required to identify threats across today’s hybrid IT environment.

How Zero Trust Security Fuels New Business Growth

Bottom Line: Zero Trust Security (ZTS) strategies enabled by Next-Gen Access (NGA) are indispensable for assuring uninterrupted digital business growth, and are proving to be a scalable security framework for streamlining onboarding and systems access for sales channels, partners, patients, and customers of fast-growing businesses.

The era of Zero Trust Security is here, accelerated by NGA solutions and driven by the needs of digital businesses for security strategies that can keep up with the rapidly expanding perimeters of their businesses. Internet of Things (IoT) networks and the sensors that comprise them are proliferating network endpoints and extending the perimeters of growing businesses quickly.

Inherent in the DNA of Next-Gen Access is the ability to verify the user, validate the device (including any sensor connected to an IoT network), limit access and privilege, then learn and adapt using machine learning techniques to streamline the user experience while granting access to approved accounts and resources. Many digital businesses today rely on IoT-based networks to connect with suppliers, channels, service providers and customers and gain valuable data they use to grow their businesses. Next-Gen Access solutions including those from Centrify are enabling Zero Trust Security strategies that scale to secure the perimeters of growing businesses without interrupting growth.

How Zero Trust Security Fuels New Business Growth  

The greater the complexity, scale and growth potential of any new digital business, the more critical NGA becomes for enabling ZTS to scale and protect its expanding perimeters. One of the most valuable ways NGA enables ZTS is using machine learning to learn and adapt to users’ system access behaviors continuously. Insights gained from NGA strengthen ZTS frameworks, enabling them to make the following contributions to new business growth:

  1. Zero Trust Security prevents data breaches that cripple new digital business models and ventures just beginning to scale and grow. Verifying, validating, learning and adapting to every user’s access attempts and then quantifying their behavior in a risk score is at the core of Next-Gen Access’ DNA. The risk scores quantify the relative levels of trust for each system user and determine what, if any, additional authentication is needed before access is granted to requested resources. Risk scores are continuously updated with every access attempt, making authentication less intrusive over time while greatly reducing compromised credential attacks.
  2. Securing the expanding endpoints and perimeters of a digital business using NGA frees IT and senior management up to focus more on growing the business. In any growing digital business, there’s an exponential increase in the number of endpoints being created, rapidly expanding the global perimeter of the business. The greater the number of endpoints and the broader the perimeter, the more revenue potential there is. Relying on Next-Gen Access to scale ZTS across all endpoints saves valuable IT time that can be dedicated to direct revenue-producing projects and initiatives. And by relying on NGA as the trust engine that enables ZTS, senior management will have far fewer security-related emergencies, interruptions, and special projects and can dedicate more time to growing the business. A ZTS framework also centralizes security management across a digital business, alleviating the costly, time-consuming task of continually installing patches and updates.
  3. Zero Trust Security is enabling digital businesses globally to meet and exceed General Data Protection Regulation (GDPR) compliance requirements while protecting and growing their most valuable asset: customer trust. Every week brings new announcements of security breaches at many of the world’s most well-known companies. Quick stats on users affected, potential dollar loss to the company and the all-too-common 800 numbers for credit bureaus seem to be in every press release. What’s missing is the incalculable, unquantifiable cost of lost customer value and the millions of hours customers waste trying to avert financial chaos. In response to the need for greater oversight of how organizations respond to breaches and manage data security, the European Union (EU) launched General Data Protection Regulation (GDPR) which goes into effect May 25, 2018. GDPR applies not only European organizations, but also to foreign businesses that offer goods or services in the European Union (EU) or monitor the behavior of individuals in the EU. The compliance directive also states that organizations need to process data so in a way that “ensures appropriate security of the personal data, using appropriate technical and organizational measures,” taking into account “state of the art and the costs of implementation.”

Using an NGA approach that includes risk-based multi-factor authentication (MFA) to evaluate every login combined with the least privilege approach across an entire organization is a first step towards excelling at GDPR compliance. Zero Trust Security provides every organization needing to comply with GDPR a solid roadmap of how to meet and exceed the initiative’s requirements and grow customer trust as a result.

Conclusion

Next-Gen Access enables Zero Trust Security strategies to scale and flex as a growing business expands. In the fastest growing businesses, endpoints are proliferating as new customers are gained, and suppliers are brought onboard. NGA ensures growth continues uninterrupted, helping to thwart comprised credential attacks, which make up 81% of all hacking-related data breaches, according to Verizon.

Five Ways Machine Learning Can Save Your Company From A Security Breach Meltdown

  • $86B was spent on security in 2017, yet 66% of companies have still been breached an average of five or more times.
  • Just 55% of CEOs say their organizations have experienced a breach, while 79% of CTOs acknowledge breaches have occurred. One in approximately four CEOs (24%) aren’t aware if their companies have even had a security breach.
  • 62% of CEOs inaccurately cite malware as the primary threat to cybersecurity.
  • 68% of executives whose companies experienced significant breaches in hindsight believe that the breach could have been prevented by implementing more mature identity and access management strategies.

These and many other fascinating findings are from the recently released Centrify and Dow Jones Customer Intelligence study, CEO Disconnect is Weakening Cybersecurity (31 pp, PDF, opt-in).

One of the most valuable findings from the study is how CEOs can reduce the risk of a security breach meltdown by rethinking their core cyber defense strategy by maturing their identity and access management strategies.

However, 62% of CEOs have the impression that multi-factor authentication is difficult to manage. Thus, their primary security concern is primarily driven by how to avoid delivering poor user experiences. In this context, machine learning can assist in strengthening the foundation of a multi-factor authentication platform to increase effectiveness while streamlining user experiences.

Five Ways Machine Learning Saves Companies From Security Breach Meltdowns

Machine learning is solving the security paradox all enterprises face today. Spending millions of dollars on security solutions yet still having breaches occur that are crippling their ability to compete and grow, enterprises need to confront this paradox now. There are many ways machine learning can be used to improve enterprise security. With identity being the primary point of attacks, the following are five ways machine learning can be leveraged in the context of identity and access management to minimize the risk of falling victim to a data breach.

  1. Thwarting compromised credential attacks by using risk-based models that validate user identity based on behavioral pattern matching and analysis. Machine learning excels at using constraint-based and pattern matching algorithms, which makes them ideal for analyzing behavioral patterns of people signing in to systems that hold sensitive information. Compromised credentials are the most common and lethal type of breach. Applying machine learning to this challenge by using a risk-based model that “learns’ behavior over time is stopping security breaches today.
  2. Attaining Zero Trust Security (ZTS) enterprise-wide using risk scoring models that flex to a businesses’ changing requirements. Machine learning enables Zero Trust Security (ZTS) frameworks to scale enterprise-wide, providing threat assessments and graphs that scale across every location. These score models are invaluable in planning and executing growth strategies quickly across broad geographic regions. CEOs need to see multi-factor authentication as a key foundation of ZTS frameworks that can help them grow faster. Machine learning enables IT to accelerate the development of Zero Trust Security (ZTS) frameworks and scale them globally. Removing security-based roadblocks that get in the way of future growth needs to be the highest priority CEOs address. A strong ZTS framework is as much a contributor to revenue as is any distribution or selling channel.
  3. Streamlining security access for new employees by having persona-based risk model profiles that can be quickly customized by IT for specific needs. CEOs most worry about security’s poor user experience and its impacts on productivity. The good news is that the early multi-factor authentication workflows that caused poor user experiences are being redefined with contextual insights and intelligence based on more precise persona-based risk scoring models. As the models “learn” the behaviors of employees regarding access, the level of authentication changes and the experience improves. By learning new behavior patterns over time, machine learning is accelerating how quickly employees can gain access to secured services and systems.
  4. Provide predictive analytics and insights into which are the most probable sources of threats, what their profiles are and what priority to assign to them. CIOs and the security teams they manage need to have enterprise-wide visibility of all potential threats, ideally prioritized by potential severity. Machine learning algorithms are doing this today, providing threat assessments and defining which are the highest priority threats that CIOs and their teams need to address.
  5. Stop malware-based breaches by learning how hackers modify the code bases in an attempt to bypass multi-factor authentication. One of the favorite techniques for hackers to penetrate an enterprise network is to use impersonation-based logins and passwords to pass malware onto corporate servers. Malware breaches can be extremely challenging to track. One approach that is working is when enterprises implement a ZTS framework and create specific scenarios to trap, stop and destroy suspicious malware activity.
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