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Understanding the Types of Cyber Threats on the Rise in 2019

Keeping your IT environment safe means ensuring your finger is on the pulse of the latest threats in cyber-security. However, while there are always the latest zero-day threats and new attack vectors, each year we see some fundamental repeats. Often attackers find it easy to penetrate networks that have poor hygiene such as old exploits left unpatched, authentication issues such as a lack of two factor authentication and weak passwords. These types of network threats threaten the security of your enterprise, endanger your public image, and put customer data and privacy at risk.

While some types of cyber threats have been around for many years, as we enter 2019, many are growing in complexity or changing in design. This risk is growing, especially as businesses continue to move their workloads and processes to multi and hybrid-cloud environments. Virtualization and hypervisors, container orchestration, and auto-scaling workloads are all realities of a modern enterprise. If we really think about what was new in 2018 and will surely continue in 2019, it is attackers attacking critical applications, data centers and clouds directly. In order to stay secure, as well as manage compliance and keep control despite potential gaps in vendor security, your own solution needs to step up. Businesses will increasingly need to choose a security solution that can effortlessly manage a hybrid and multi-cloud infrastructure.

Attackers are regularly learning new methods to gain entry or cause damage. Here are the top threats to look out for in 2019.

Direct Attacks on Data Centers and Clouds

What we’ve seen through our work with our customers and through our Guardicore Global Sensor Network is an increase in attacks on data centers and clouds directly. These types of cyber-security threats do not use targeted spear phishing campaigns to gain entry through a user within an enterprise. Instead, we see attackers finding known and zero day vulnerabilities in applications they can reach directly and exploiting these to get inside. In many cases their work is assisted by fundamental weaknesses like insecure passwords and a lack of dual factor authentication. One of Guardicore Labs’ most important finds this year was the Butter campaign. The attacker(s) started their attack by merely brute forcing poorly passworded SSH servers to gain access. Once they gained access – we found attackers moving incredibly easily across these applications and data centers due to poor segmentation.

While these attacks on the data centers are easy to accomplish, they remain difficult to spot. In fact, for some companies, security teams are not even the ones to ring the alarm bell. Dwell time is not reduced or mitigation started with an enterprise finding the attackers and blocking the threat, but with a third-party letting the enterprise know there is something wrong. In some cases this could be White Hat researchers or the customers themselves, and in the case of attackers seeking monetization – it could be credit card or law enforcement companies that notify the compromised enterprise.

Crypto-jacking

Many experts failed to predict the increase of cryptocurrency attacks for 2018, but no one is making that mistake this year. Attackers are often financially-driven, and mining for cryptocurrency is one way to attempt a quick payout, with more guaranteed results than ransomware. Besides merely offering DDoS as RAT as a service to their customers, the attackers are seeking an additional revenue stream. In fact, while crypto-jacking has risen 44.5% since 2017, ransomware has dropped by almost 30%. Mining malware often looks to exploit vulnerabilities such as unpatched software or known bugs such as this year’s Microsoft Windows Server 2003 vulnerability, or the Oracle Web Logic flaw.
The impact of these attacks is huge, and attackers can steal vast amounts of CPU usage from victims, slowing down performance overall and having a negative effect on both business and customers. Like a worm, virus, or other types of cyber-security threats, crypto-jacking attacks can be tough to find, leaving stakeholders using time-wasting trial and error to find the source of the slowdown. Visibility into the traffic on your network is essential, so that you can track CPU usage and compare real-time activity to historical baselines.

APT

An APT is an Advanced Persistent Threat, where an attacker can breach a network and stay undetected for a long period of time. The goal of these attacks is not to cause instant damage or immediately ask for ransom, drawing attention to your breach, but rather to insidiously steal information or security data in an unobtrusive way. An APT could breach your network using malware, exploit kits or by piggybacking on legitimate traffic. This could make it difficult to spot. Once your network is infected, an APT could find login credentials, and then use these to make lateral moves around your data center or wider system.

Origins of APTs are usually found to be state actors – either direct or sponsored government attackers. Probably the best example this year was the Marriott/SPG attack. With a dwell time that began in 2014 the state actor enjoyed great benefit from their access to Marriott’s SPG network. The data stolen included names, phone numbers, email addresses, passport numbers, dates of birth and arrival and departure information.

This personally identifiable data from an attack of this kind could offer an intelligence agency all sorts of very tangible benefits. One example could be the ability to create more legitimate looking false passports with the use of real identification documents.

This kind of breach would also provide actionable tracking information, allowing an agency or a bad actor to track people’s movements. They could see if someone was checking into particular locations or even catch a meeting between multiple people of interest. The data would also allow them to learn travel patterns and even potentially set up intelligence agencies to “intercept” people of interest.
Because APTs and similar types of cyber-security threats are designed to go unnoticed, they can be difficult to spot. Signs to look out for could be unusual network activity such as spikes in data access. Key defense tactics could be isolating critical data using micro-segmentation and using white lists to limit access to only the applications that should be allowed to communicate with one another.

File-less Malware

One dangerous type of attack that is typically found as part of an APT is file-less malware. As the name suggests, a file is never created, so standard antivirus file-based detection does not work against these breaches. While traditionally, file-less techniques were the first step in malware infection, in recent months fully file-less attacks are gaining traction.

These types of network threats often pivot from memory exploits to highly trusted system tools and then move to access of the rest of a network, undetected. The most common kinds of file-less malware attacks are remote logins, WMI-based attacks, and PowerShell or Microsoft Office based. In short – no malware doesn’t mean no breach. Micro-segmentation, especially if done with effective rules and in even more thorough projects down to the process level, can keep your most critical applications safe from lateral moves even within the same application cluster, even against the threats you can’t see coming.

Attacks on Critical IoT Devices

The final and perhaps the most frightening increase we have seen through 2018 is attackers commandeering critical IoT devices. Often unpatched, and residing in what are generally flat networks (ones without any segmentation), medical devices have been a big target in 2018 and are likely to be further exploited in 2019.

Furthermore, “point of sale” systems are another attack environment we’ve seen increase in popularity, as they also often suffer from a lack of patching and security, and are an easy target for both physical and remote attacks.

Recognizing how to Ward off These Types of Cyber-Security Threats

The combination of increasingly complex IT environments and the growing sophistication of cyber threats is a dangerous one. Micro-segmentation technology can reduce the attack surface in case of a breach, isolating attackers and keeping them away from critical assets and sensitive customer data. Building a smart segmentation strategy starts with a map of your entire IT environment, with application dependency mapping to visualize all the communications and flows in your ecosystem. This true visibility and real-time control over your entire infrastructure, from on premises data centers to multi and hybrid cloud IaaS is essential, in 2019 and beyond.

Want to learn more about breach detection to help prevent damage from cyber threats to your environment?

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Considering Cyber Insurance in the Aftermath of the NotPetya Attack

It’s been 18 months since June 2017 when the Petya/NotPetya cyber attacks fell on businesses around the globe, resulting in a dramatic loss of income and intense business disruption. Has cyber insurance limited the fallout for the victims of the ransomware attacks, and should proactive businesses follow suit and ensure they are financially covered in case of a breach?

Monetizing the Impact of Cybercrime

The effect on the IT and insurance industries of last years wave of cybercrime continues to grow as businesses disclose silent cyber impacts, as well as affirmative losses from WannaCry/Petya. The latest reports from Property Claim Services put the loss at over $3.3 billion, and growing.

Despite this, for some businesses, reliance on insurance schemes has proven inadequate. US Pharmaceutical company Merck disclosed that the Petya cyberattacks have cost them as much as $580 million since June 2017, and predicted an additional $200 million in costs by the end of 2018. In contrast, experts estimated their insurance pay-out would be around $275 million, a huge number, but under half of the amount they have incurred so far, let alone as their silent costs continue to rise.

Other companies have been left even worse off, such as snack food company Mondolez International Inc, who are in a continuing battle with their property insurer, Zurich American Insurance Company. Mondolez claimed for the Petya attacks under a policy that included “all risks of physical loss or damage” specifying “physical loss or damage to electronic data, programs, or software, including loss or damage caused by the malicious introduction of a machine code or instruction.”

However, Zurich disputed the claim, due to a clause that excludes insurance coverage for any “hostile or war-like act by any government or sovereign power.” As US Intelligence officials have determined that the NotPetya malware originated as an attack by the Russian military against the Ukraine, Zurich are fighting the claim by Mondelez that they are wrongfully denying coverage.

How Does This Lawsuit Affect the Cyber-Insurance Market Overall?

As cyber crime continues to rise, cyber insurance is understandably becoming big business. For companies deciding on whether to take out coverage, CISO’s need to find space in the budget for monthly costs and potentially large premiums. For this risk to be worthwhile, businesses want to be confident that they will recover their costs if a breach happens.

The insurance pay-outs around the Petya cyberattacks, and in particular the Mondolez case, throw this into question. This is especially true considering the rise in cyberattacks that are nation-backed or could plausibly be claimed to be nation-backed by insurance companies in order to dispute a claim. As regulations change and the US military are given more freedom to launch preventative cyberattacks against foreign government hackers, any evidence that suggests governmental or military attribution could be legitimately used against claimants looking to settle their losses.

The Effect on Public Research

The ripple effect of this could go beyond the claims sector, and have a connected impact on security research, as well as free press and journalism in the long run, something we feel strongly about at Guardicore Labs. Traditionally, researchers have had the freedom to comment and even speculate on the attribution of cyber attacks, through information on the attackers’ behavior behind the scenes and the attack signatures they use. If insurance companies and claims handlers begin using public research as a reason to deny coverage to the victims, this could put research teams in an ethical bind, reducing the amount of public research and the transparency of the industry overall.

How Much of a ‘Guarantee’ Can Security Companies Provide?

The issue of what claims to honor extends to financial guarantees from security companies, not only to insurance handlers. It is becoming increasingly popular to offer guarantees to customers who purchase cybersecurity products, in order to ‘put your money where your mouth is’ on the infallibility of a particular solution.

However, many experts believe that these policies have so many loopholes that they negate the benefit of the warranty overall. One example is the often cited ‘nation state or act of god’ exception, which includes cyberterrorism. Others include exclusions of coverage for portable devices, insider threats, or intentional acts. Even if you are widely covered for an event, does that extend to all employees? According to the latest Cyber Insurance Buying Guide, “most policies do not adequately provide for both first-party and third-party loss.”

Your ‘Guarantee’ is not a Guarantee

The bottom line for CISOs looking to protect their business is that cyber insurance is not a catch-all solution by any means. Whether it’s insurance companies paying out a limited figure or skirting a pay-out altogether, or cybersecurity companies making big promises that are ultimately undermined by the small print, cyber insurance has a way to go.

Focus on your cybersecurity solution, including strong technology like micro-segmentation to limit the attack surface in the case of a breach. With this in place, you can ensure that your critical assets and data are ring-fenced and isolated, no matter what your infrastructure looks like and what direction the attack comes from. Integration with powerful breach detection and incident response capabilities strengthens your position even further, reducing dwell time, and giving you a security posture you can rely on.

Secure Critical Applications

Today’s information security teams face two major trends that make it more challenging than ever to secure critical applications. The first is that IT infrastructure is evolving rapidly and continuously. Hybrid cloud architectures with a combination of on-premises and cloud workloads are now the norm. There are also now a multitude of application workload deployment methods, including bare-metal servers, virtualization platforms, cloud instances, and containers. This growing heterogeneity, combined with increased automation, makes it more challenging for security teams to stay current with sanctioned application usage, much less malicious activity.

The second major challenge that makes it difficult to secure critical applications is that attackers are growing more targeted and sophisticated over time. As security technologies become more effective at detecting and stopping more generic, broad-scale attacks, attackers are shifting to more deliberate techniques focused on specific targets. These efforts are aided by the rapid growth of east-west traffic in enterprise environments as application architectures become more distributed and as cloud workloads introduce additional layers of abstraction. By analyzing this east-west traffic for clues about how applications function and interact with each other, attackers can identify potential attack vectors. The large quantity of east-west traffic also provides potential cover when attacks are advanced, as attackers often attempt to blend unauthorized lateral movement in with legitimate traffic.

Securing Critical Applications with Micro-Segmentation

Implementing a sound micro-segmentation approach is one of the best steps that security teams can take to gain greater infrastructure visibility and secure critical applications. While the concept of isolating applications and application components is not new, micro-segmentation solutions like GuardiCore Centra have improved on this concept in a number of ways that help security teams overcome the challenges described above.

It’s important for organizations considering micro-segmentation to avoid becoming overwhelmed by its broad range of applications. While the flexibility that micro-segmentation offers is one of its key advantages over alternative security approaches, attempting to address every possible micro-segmentation use case on day one is impractical. The best results are often achieved through a phased approach. Focusing on the most critical applications early in a micro-segmentation rollout process is an excellent way to deliver value to the organization quickly while developing a greater understanding of how micro-segmentation can be applied to additional use cases in subsequent phases.

Process-Level Granularity

The most significant benefit that micro-segmentation provides over more traditional segmentation approaches is that it can enables visibility and control at the process level. This gives security teams much greater ability to secure critical applications by making it possible to align segmentation policies with application logic. Application-aware micro-segmentation policies that allow known legitimate flows while blocking everything else significantly reduce attackers’ ability to move laterally and blend in with legitimate east-west traffic.

Unified Data Center and Cloud Workload Protection

Another important advantage that micro-segmentation offers is a consistent policy approach for both on-premises and cloud workloads. While traditional segmentation approaches are often tied to specific environments, such as network infrastructure, a specific virtualization technology, or a specific cloud provider, micro-segmentation solutions like GuardiCore Centra are implemented at the workload level and can migrate with workloads as they move between environments. This makes it possible to secure critical applications in hybrid cloud infrastructure and prevent new security risks from being introduced as the result of infrastructure changes.

Platform Independence

In addition to providing a unified security approach across disparate environments, micro-segmentation solutions like GuardiCore Centra also work consistently across various operating systems and deployment models. This is essential at a time when many organizations have a blend of bare-metal servers, virtualized servers, containers, and cloud instances. Implementing micro-segmentation at the application level ensures that policies can persist as underlying deployment platform technologies change.

Common Workload Protection Needs

There are several categories of critical applications that exist in most organizations and are particularly challenging – and particularly important – to secure.

Protecting High-Value Targets

Every organization has infrastructure components that play a central role in governing access to other systems throughout the environment. Examples may include domain controllers, privileged access management systems, and jump servers. It is essential to have a well-considered workflow protection strategy for these systems, as a compromise will give an attacker extensive ability to move laterally in the direction of systems containing sensitive or highly valuable data. Micro-segmentation policies with process-level granularity allow security teams to tightly manage how these systems are used, reducing the risk of unauthorized use.

Cloud Workload Protection

As more workloads migrate to the cloud, traditional security controls are often supplanted by security settings provided by a specific cloud provider. While the native capabilities that cloud providers offer are often valuable, they create situations in which security teams must segment their environment one way on-premises and another way in the cloud. This creates greater potential for new security issues as a result of confusion, mis-configuration, or lack of clarity about roles and responsibilities.

The challenge is compounded when organizations use more than one cloud provider, as each has its own set of security frameworks. Because micro-segmentation is platform-independent, the introduction of cloud workloads does not significantly increase the attack surface. Moreover, micro-segmentation can be performed consistently across multiple cloud platforms as a complement to any native cloud provider security features in use, avoiding confusion and providing greater flexibility to migrate workloads between cloud providers.

New Application Deployment Technologies

While bare-metal servers, virtualized servers, and cloud instances all preserve the traditional Windows or Linux operating system deployment model, new technologies such as containers represent a fundamentally different application deployment approach with a unique set of workload protection challenges. Implementing a micro-segmentation solution that includes support for containerized applications is another step organizations can take to secure critical applications in a manner that will persist as the underlying infrastructure evolves over time.

Critical Applications in Specific Industries

Along with the general steps that all organizations should take to secure critical applications, many industries have unique workload protection challenges based on the types of data they store or their specific regulatory requirements.

Examples include:

  • Healthcare applications that store or access protected health information (PHI) for patients that is both confidential and subject to HIPAA regulation.
  • Financial services applications that contain extensive personally identifiable information (PII) and other sensitive data that is subject to industry regulations like PCI DSS.
  • Law firm applications that store sensitive information that must be protected for client confidentiality reasons.

In these and other vertical-specific scenarios, micro-segmentation technologies can be used to both enforce required regulatory boundaries within the infrastructure and gain real-time and historical visibility to support regulatory audits.

Decoupling Security from Infrastructure

While there are a variety of factors that security teams must consider when securing critical applications in their organization, workload protection efforts do not need to be complicated by IT infrastructure evolution. By using micro-segmentation to align security policies with application functionality rather than underlying infrastructure, security teams can protect key applications effectively even as deployment approaches change or diversify. In addition, the added granularity of control that micro-segmentation provides makes it easier to address organization- or industry-specific security requirements effectively and consistently.

For more information on micro-segmentation, visit our Micro-Segmentation Hub.

GuardiCore Integrates with AWS Security Hub

Today at re:Invent, Amazon revealed the AWS Security Hub, a security service that provides AWS cloud customers with a comprehensive view of their security state within AWS. GuardiCore has worked with AWS over the past weeks to provide support and integration to this service. While AWS provides some built-in security capabilities, customers require additional capabilities that can only be provided by third-party companies like GuardiCore.

Both GuardiCore Centra and Infection Monkey now integrate with the AWS Security Hub. This integration provides a lot of value to customers. Early feedback is extremely positive and AWS customers would find it interesting to test both integrations:

GuardiCore Centra Integration with AWS Security Hub

GuardiCore Centra, our flagship product, secures any cloud-private or public. Security Incidents will be forwarded to the AWS Security Hub and can be managed through the console or consumed by other security products.

Infection Monkey Integration with AWS Security Hub

The Infection Monkey is an open source Breach and Attack Simulation (BAS) tool that assesses the resiliency of private and public cloud environments to post-breach attacks and lateral movement. Its integration with the AWS Security Hub allows anyone to verify and test the resilience of their AWS environment and correlate this information with the native security solutions and benchmark score.

Working on the integration was fun. Since both Centra and Infection Monkey have integration points and can run on AWS, adding reporting interfaces to the Security Hub was a straightforward task.

We believe that the AWS Security Hub represents a good approach, allowing for more shared security insights from more vendors in order to improve the overall security posture of your environment. It detects security findings and alerts generated by other AWS security services, other security solutions (like GuardiCore Centra and Infection Monkey) and aggregates those findings and alerts within each supported AWS region.

During the beta period the service provided integration with Amazon GuardDuty, Amazon Inspector, and Amazon Macie and added new capabilities by running CIS benchmark check for AWS workloads. We are looking forward to your feedback. Tell us- what do you think about the integration?

GuardiCore’s Journey from Vision to Best-in-Class Micro-Segmentation

Micro-segmentation as we know it today has gone through several stages in the last few years, moving from a rising trend for securing software-defined data centers to a full-blown cyber security technology and a top priority on the agenda of nearly every CISO.

Built on the vision of securing the hybrid cloud and software defined data centers, we started our journey in 2013, thinking how to solve what in our opinion was a huge challenge for a market that did not exist at that time. In this post we’ll share how we created the micro-segmentation solution that is considered the best on the market – from vision to execution.

2015: First steps towards segmentation

Throughout the second half of 2015, we started delivering our micro-segmentation methodology after realizing that understanding how applications communicate inside the cloud was the key to success and as such – must be addressed first. “You can’t protect what you can’t see” wasn’t coined by GuardiCore but was immediately embraced by us when we started planning our micro-segmentation solution. We started developing our visibility solution Reveal, a visual map of all the applications running in the data center, all the way down to the process level. Reveal allows you to view applications and the flow they create in real time while also providing historic views. For the first time, admins and security teams were able to easily discover the running applications, one by one, and then review relations between the application tiers. Early releases supported general data center topologies as well as Docker containers.

2016: Gartner names micro-segmentation a top information security technology

We launched our segmentation solution at the RSA conference 2016 with a big splash. Reveal gained a lot of coverage and was well received by security teams who were lacking the proper tools to see the application flows in their data centers. It was one of the hottest security products at RSA 2016 and for a good reason!

Important to note that when micro-segmentation was introduced in Gartner’s Top 10 Technologies for Information Security in 2016 time in June 2016, many security professionals were unaware of the concept. In that report Gartner stated that to prevent attackers from moving “unimpeded laterally to other systems” there was “an emerging requirement for microsegmentation of east/west traffic in enterprise networks”. Enthusiasm was then at its peak, micro-segmentation was widely covered in the media and conferences dealing with the technology abound.

2017: Micro-segmentation for early adopters

Micro-segmentation was gaining traction as one of the most effective ways to secure data centers and clouds, but organizations learned the hard way that the path to meaningful micro-segmentation was full of challenges. Incomplete visibility into east-west traffic flows, inflexible policy engines and lack of multi-cloud support were among the most cited reasons. Throughout 2017 market penetration was around 5% of target audience and micro-segmentation was far from being mainstream. Andrew Lerner, Research Vice President at Gartner, noted in a blog post that “Micro-segmentation is the future of modern data center and cloud security; but not getting the micro-segmentation-supporting technology right can be analogous to building the wrong foundation for a building and trying to adapt afterward”.

That year GuardiCore tackled these challenges head on and based on the feedback we received from our growing customer base, we added flexible policy management and moved on from using only 3rd party integration to add native enforcement at the flow and process levels. Customers were able to move from zero-segmentation to native enforcement in 3 easy steps, based on revealing applications, building policies and natively enforcing policies.

2018: Our solution takes complexity out of micro-segmentation

Today, micro-segmentation serves as a foundational element of data center security in any data center. According to a Citi group’s report, cloud security is the number one priority among CISOs in 2018, with micro-segmentation the top priority in plans to purchase in this category. Concentrated effort on the part of organizations from different industries has resulted in better understanding of the technology. This year we were able to deploy micro-segmentation across all types of environments, from bare metal to virtualized machines, through public cloud instances and recently to containerized environments.

So if you are planning a micro-segmentation project let’s talk. We can show you how to do it in a way that is quick, affordable, secure, and provable across any environment.

Lateral Movement Security

While IT security teams put substantial time and investment into preventing network intrusions, it only takes a quick look at the daily news to be reminded that major security breaches are inevitable. It’s therefore critical to complement perimeter security efforts with an effective strategy for preventing successful intrusions from advancing and causing negative business impact. In many ways, this is a more difficult challenge, as the volume of east-west traffic within the infrastructure now outsizes north-south perimeter traffic by wide margin thanks to changing data center management approaches and broad adoption of public cloud infrastructure.

This growing sea of east-west traffic provides is notoriously difficult for IT teams to observe and assess, which makes it effective cover for attackers attempting lateral movement.

micro-segmentation grants visibility and prevention of lateral movement

What is Lateral Movement?

Lateral movement is the set of steps that attackers who have gained a foothold in a trusted environment take to identify the most vulnerable and/or valuable assets, expand their level of access, move to additional trusted assets, and further advance in the direction of high-value targets. Lateral movement typically starts with an infection or credential-based compromise of an initial data center or cloud node. From there, an attacker may employ various discovery techniques to learn more about the networks, nodes, and applications surrounding the compromised resource.

As attackers are learning about the environment, they often make parallel efforts to steal credentials, identify software vulnerabilities, or exploit misconfigurations that may allow them to move successfully to their next target node.

When an attacker executes an effective combination of lateral movement techniques, it can be extremely difficult for IT teams to detect, as these movements often blend in with the growing volume of legitimate east-west traffic. The more they learn about how legitimate traffic flows work, the easier it is for them to attempt to masquerade their attacks as a sanctioned activity. This, combined with many organizations’ insufficient investment in lateral movement security, can cause security breaches to escalate quickly.

Assessing Lateral Movement Security

One fast, simple, and inexpensive step that organizations concerned about lateral movement security can take is to test how vulnerable their environment is to unsanctioned east-west traffic. GuardiCore Labs offers a free, open-source breach and attack simulation tool called Infection Monkey that can be used for this purpose.

Infection Monkey scans the environment, identifies potential points of vulnerability, and attempts predetermined attack scenarios to attempt lateral movement. The output is a security report that identifies the security issues that were discovered and includes actionable remediation recommendations.

Infection Monkey Warns of Danger of Lateral Movement

Visualizing East-West Traffic

Organizations seeking more proactive lateral movement security can begin by visualizing the east-west traffic in their environment. Once a clear baseline of sanctioned east-west traffic is established and viewable on a real-time and historical basis, it becomes much easier to identify unsanctioned lateral movement attempts.

This is one of the flagship capabilities of GuardiCore Centra. Centra uses network and host-based sensors to collect detailed information about assets and flows in data center, cloud, and hybrid environments, combines this information with available labeling information from orchestration tools, and displays a visual representation of east-west traffic in the environment.

Visibility for Lateral Movement

This added visibility alone delivers immediate benefits to organizations seeking a greater understanding of potential lateral movement risks. It also provides the foundation for more sophisticated lateral movement security techniques.

Improving Lateral Movement Security

Once an organization has a clear view of both sanctioned and unsanctioned east-west traffic in its data center and cloud infrastructure, it can use this information to take active steps to stop lateral movement. An optimal approach includes a mix of both proactive and reactive lateral movement security techniques.

Micro-Segmentation Policies

Once an IT team has visualized its east-west traffic, the addition of micro-segmentation policies can significantly reduce attackers’ ability to move laterally. Micro-segmentation applies workload and process-level security controls to data center and cloud assets that have an explicit business purpose for communicating with each other. When strong micro-segmentation policies are implemented, attempts at lateral movement that do not explicitly match sanctioned flows – down to the specific process level – can generate alerts to the security operations team or even be blocked proactively.

Detecting and Responding to Unauthorized East-West Traffic

While micro-segmentation policies significantly improve lateral movement security, it is important to complement policy measures with additional detection and response capabilities. In addition to providing information-risk alerts when policy violations occur, GuardiCore Centra can detect and respond to unauthorized east-west traffic by leveraging deception technology to monitor and investigate suspicious behavior within east-west traffic.

Deception

GuardiCore Centra applies deception technology to analyze all failed attempts at lateral movement and then redirect suspicious behavior to a high-interaction deception engine. The attacker is fed responses that suggest that their attack techniques are successful, but all their tools, techniques and exploits are being recorded and analyzed in a fully isolated environment.

Deception

This helps IT teams learn more about the lateral movement being attempted in the environment and assess how to best improve security policies over time.

A Growing Strategic Priority

While strong perimeter security remains essential, the transition from traditional on-premises infrastructure to hybrid-cloud and multi-cloud architectures is increasing the strategic importance of lateral movement security.

It’s essential for security teams to:

  • Gain ongoing visibility into their organization’s east-west traffic
  • Develop techniques for differentiating between sanctioned and unsanctioned east-west traffic
  • Implement controls like micro-segmentation to tightly govern infrastructure activity
  • Actively monitor for unauthorized lateral movement to both contain breaches quickly and continuously refine policies based on the latest attack techniques.

Organizations that move beyond perimeter-focused thinking and place greater emphasis on lateral movement security will ensure that their security measures remain in step as IT infrastructure becomes more dynamic and heterogeneous.

For more information about Micro-Segmentation, visit our Micro-Segmentation Hub

Something is brewing: A CPU bug risks virtual memory segmentation

At any given moment, attack and defense are in a cat and mouse game where each side gains a momentary advantage. What we’ve recently seen over the past few months is a situation where defense is playing catch-up with what appears to be a serious hardware bug.

Current speculations suggest that a serious CPU bug might allow code running in user space to read kernel space memory. Such capability will make it much easier for attackers to exploit other security bugs that exist in the system or read sensitive system data. Another speculative guess suggests that the bug allows one virtual machine an introspection into another virtual machine memory. This attack vector puts in danger virtual environments such as Amazon EC2 and Azure Hyper-V where multiple tenants can co-exist on a single physical machine.

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GuardiCore Extends Series B Funding Round to $35 Million Adding TPG Growth as a New Investor

Funding to Accelerate Growth in Large Enterprise Accounts and Expand Further into Global Markets

San Francisco, CA and Tel Aviv, Israel – GuardiCore, a leader in internal data center and cloud security, today announced that the company has raised an additional $15 million as an extension to its Series B funding round. This brings the company’s total funding raised to date to $48 million. The additional investment was led by TPG Growth, the middle market growth equity platform of alternative asset firm TPG, and Greenfield Partners, a TPG-Growth backed company based in Israel that focuses on investing in early growth-stage global technology and tech-enabled businesses. Existing investors include Battery Ventures, 83North, Cisco Investments and Dell Technologies Capital.

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GuardiCore Announces GuardiCore Labs

Global Research Team Focused on Critical Cyber Security Analysis and Investigation to Benefit the Community through Publications and Timely Disclosure of New Advanced Threats Targeting Data Centers and Clouds

San Francisco, CA and Tel Aviv, Israel – GuardiCore, a leader in internal data center and cloud security, today announced GuardiCore Labs, a global cyber security research team that conducts in-depth research and analysis, providing the security industry with actionable insights into the latest and most advanced threats facing data centers and clouds. GuardiCore Labs delivers cutting-edge breach detection and response methodologies to help GuardiCore customers continually enhance their security posture to protect critical business applications and infrastructure.

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