Open XDR

Open, Vendor Agnostic, Most Comprehensive Analytics, Automated Detection and Targeted Threat Response
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BUSINESS CHALLENGE

As organizations evolve their networks and infrastructure based on digital transformation objectives, it leads to an expanding attack surface with numerous security gaps. The efficiency and sophistication of phishing and social engineering attacks makes it virtually inevitable that an initial compromise occurs.

In addition, threat actors are piecing together existing and new malware strains with different techniques to better evade current detection methods that are often siloed. Despite vendor claims, Endpoint Detection and Response (EDR), Network Detection and Response (NDR), and traditional Security Information and Event Management (SIEM), have proven insufficient to reduce mean-time-to-detect (MTTD) and mean-time-to-respond (MTTR) – further extending attacker dwell time within an organization to several months.

While many of these solutions, including the current crop of Extended Detection and Response (XDR) solutions, claim some form of analytics, they are primarily focused on analyzing specific sets of telemetry. This includes endpoint, log, or network data, with underdeveloped capabilities across other necessary analytics. Worse, their claims of machine learning (ML) and artificial intelligence (AI) are just unadaptable, rule-based AI that can be broken down as fixed conditional patterns leaving them ineffective at adapting to and finding new and emerging attacks and variants.

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CRITICAL CAPABILITIES

Gurucul XDR collects a wide variety of telemetry, correlation, and analysis of indicators of compromise for high-fidelity attack detection, prioritized investigation, and risk-driven response. With Gurucul Open XDR, Security Operations Centers (SOCs) of varying skills and size gain the necessary visibility, context, and automation to identify attack campaigns in real-time and prevent damage within minutes and hours – not days, weeks, or months.

  • Intelligent, Telemetry-Based Analytics
    Without customization, Gurucul Open XDR automatically ingests, correlates, normalizes and applies analytics to telemetry beyond just endpoint and network data. It analyzes endpoint, network application, cloud, IoT, identity, network, structured and unstructured data, and even unknown data sources with trained ML that adapts over time for automating threat detection. 
  • Accelerated Threat detection
    Gurucul incorporates User and Entity Behavior Analytics with intelligent telemetry-based analytics and and industry-leading 2500+ open, transparent,  and customizable ML models to detect, predict, investigate, hunt, and remediate threats. It goes beyond just an individual threat, to identifying the full scope of the attack campaign early in the kill chain.
  • Prioritized Investigations
    Gurucul automatically correlates and consolidates the relevant telemetry, provides link event analysis, and provides both incident-level and campaign level risk scoring to prioritize investigation efforts. These capabilities provide a high-level of observability all the way offering drill-down threat hunting for multiple experience levels.
  • Automated Incident Response
    Security staff can leverage automated response actions with risk-based triggers, orchestration playbooks, and automated incident timelines that create smart links of the entire attack lifecycle for pre- and post-incident analysis. The ability to visualize the entire kill chain and reconstruct the steps builds the necessary confidence in dynamically-created targeted response playbooks.
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KEY BENEFITS

Achieve immediate time-to-value through out-of-the-box automated threat detection in real-time

Adapt and more rapidly identify new threats and variants without the need for machine learning model updates from vendors

Eliminate manual customization needed for ingesting different data sources and reduce performance impact

Leverage and retain a correlated and normalized set of threat metadata that eliminates manual efforts

Drastically reduce MTTD to minutes or hours instead of days, weeks, and months through advanced detection

Elevate your security team to understand and respond more effectively to attack campaigns with targeted context and link event analysis

Accelerate response (reduce MTTR to hours) through risk-driven, dynamic playbooks with prioritized response actions

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WHY GURUCUL?

Gurucul Open XDR is a cloud-native, analytics-driven XDR product that is offered as part of the overall Gurucul security operations platform for augmenting threat detection, prioritization, triage, and response.

With Gurucul’s data ingestion and correlation capabilities, the most comprehensive set of advanced analytics, and an industry-leading number of trained machine learning models, all consolidated into a single console, organizations can significantly accelerate and drastically improve their teams’ ability to prevent successful breaches early in the kill chain.

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Top Use Cases

External, Internal, Cloud Incident Collection and Monitoring

Accelerated Threat Detection and Response

Gurucul goes beyond endpoint-centric solutions with an advanced set of security analytics and detection across a wide variety of telemetry, including endpoint and security solutions. This accelerates and increases the overall efficiency of your existing security operations programs, tools, and resources. Gurucul XDR and SOAR work together to automate manual tasks related to data collection, correlation and contextualization, detection, investigation, and response in order to lower MTTD and MTTR.

Anomalous Activity Monitoring

Contextual Threat Hunting and Investigations

Even as Gurucul automates detection of both known and unknown attacks and variants, security analysts still want the freedom to threat hunt and validate existing detections through investigations. Outside of prioritizing indicators of compromise, Gurucul provides a unified console that eliminates the overhead of logging into multiple systems to hunt and investigate potential threats. This approach allows analysts to see an overall understanding of attack campaigns impacting their organization at a high-level, with the ability to drill down further into granularity necessary for more experienced hunters.

Dynamic Playbooks for Automating Response

Dynamic Playbooks for Automating Response

With Gurucul’s trained, open ML models, the platform provides a more targeted set of playbooks that includes the necessary context to work with broader security and IT teams to respond to threats. More importantly, Gurucul prioritizes response actions as part of the overall remediation effort and cleanup of the attack campaign. In addition to accelerating response time, this also eliminates the manual task of having to customize broad playbooks that without intervention could hamper availability of IT resources unnecessarily or that have unexpected results when implemented.

Detecting Identity-Based Threats

Detecting Identity-Based Threats

Identity is the new perimeter and therefore also a new attack surface. While most XDR solutions have been focused on the “what” or “how”, they miss the focus on understanding “the who” and how critical that is to preventing damage to an organization. Gurucul incorporates the most advanced set of identity analytics into our Open XDR, that goes beyond just Active Directory information. It baselines, monitors and analyzes access privileges, entitlements, and even peer comparisons to detect credential-based attacks. When you combine that with Gurucul UEBA, you get an even deeper view into both internal and external threats, such as supply chain attacks, much earlier in the kill chain to prevent damage.

Gurucul goes beyond endpoint-centric solutions with an advanced set of security analytics and detection across a wide variety of telemetry, including endpoint and security solutions to accelerate and increase the overall efficiency of your existing security operations programs, tools, and resources. Gurucul XDR and SOAR work together to automate manual tasks related to data collection, correlation and contextualization, detection, investigation, and response in order to lower MTTD and MTTR.

Even as Gurucul automates detection of both known and unknown attacks and variants, security analysts still want the freedom to threat hunt and validate existing detections through investigations. Outside of prioritizing indicators of compromise, Gurucul provides a unified console that eliminates the overhead of logging into multiple systems to hunt and investigate potential threats. This approach allows analyst to see an overall understanding of attack campaigns impacting their organization at a high-level, with the ability to drill down further into granular necessary for more experienced hunters.

With Gurucul’s trained, open ML models, the platform provides a more targeted set of playbooks that includes the necessary context to work with broader security and IT teams to respond to threats. More importantly, Gurucul prioritizes response actions as part of the overall remediation efforts and cleanup of the attack campaign. In addition to accelerating response time, this also eliminates the manual task of having to customize broad playbooks that without intervention could hamper availability of IT resources unnecessarily or that have unexpected results when implemented. 

Identity is the new perimeter and therefore also a new attack surface. While most XDR solutions have been focused on the “what” or “how”, they miss the focus on understanding “the who” and how critical that is to preventing damage to an organization. Gurucul incorporates the most advanced set of identity analytics into our Open XDR, that goes beyond just Active Directory information. It baselines, monitors and analyzes access privileges, entitlements, and even peer comparisons to detect credential-based attacks. When you combine that with Gurucul UEBA, you get an even deeper view into both internal and external threats, such as supply chain attacks, much earlier in the kill chain to prevent damage.

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RESOURCES