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  • Blog
  • Newsroom
  • Webinars & Events
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  • Videos
  • CardinalOps + Security Data Lakes and Pipelines

    CardinalOps + Security Data Lakes and Pipelines

    CardinalOps integrates with security data lakes and pipelines to operationalize security contextual data, continuously expand detection coverage, and drastically reduce costs from outdated SIEM licensing models. Modular, scalable data infrastructure provides the right context, at

  • From MDR to AI SOC: How Detection Engineering Powers the Next Era of Security Operations

    From MDR to AI SOC: How Detection Engineering Powers the Next Era of Security Operations

    AI SOC represents a fundamental rethinking of how detection, response, and investigation are delivered. At the heart of this shift is an important technical and strategic theme: the critically important role of detection engineering. For

  • CardinalOps + AI SOC Platforms

    CardinalOps + AI SOC Platforms

    CardinalOps unlocks the full power of AI SOC platforms by embedding detection engineering directly into the service, laying the core foundation for more effective triage, response, and investigation via efficient, scalable autonomous workflows.

  • Mapping The Initial Steps on Your SOC’s AI Journey

    Mapping The Initial Steps on Your SOC’s AI Journey

    So your SOC is ready to begin the AI journey… but where should you actually start? Below are some initial steps to point you in the right direction and keep things on track as the

  • AI-Enabled SOC Readiness Checklist

    AI-Enabled SOC Readiness Checklist

    Considering an AI project for your SOC? Before getting started, review this checklist to evaluate your readiness across 5 foundational pillars to ensure the implementation delivers transformational results.

  • The Shape-Shifting Threat: How to Fight Polymorphic AI

    The Shape-Shifting Threat: How to Fight Polymorphic AI

    AI is fundamentally changing how threats are created and detected. Polymorphic AI malware continuously modifies its code and evades detection by not writing to disk and running solely in memory. Even if its use is

  • How to Prevent and Fix SIEM Rule Failures

    How to Prevent and Fix SIEM Rule Failures

    Our blog recently outlined the top 10 reasons why rules silently fail, drawing on extensive analysis of SIEM rules in diverse enterprise environments. Check out five of the top 10 causes in part one, and

  • Part 2: Five of the Top Ten Ways SIEM Rules Silently Fail

    Part 2: Five of the Top Ten Ways SIEM Rules Silently Fail

    Our security research team continuously analyzes high volumes of rules across diverse production SIEM environments–Splunk, Microsoft Sentinel, CrowdStrike next-gen SIEM, and Google SecOps (formerly Chronicle), and more–securing global enterprises with multiple billions of dollars in

  • Part 1: Five of the Top Ten Ways SIEM Rules Silently Fail

    Part 1: Five of the Top Ten Ways SIEM Rules Silently Fail

    Over time, SIEM environments drift. Tooling expands, infrastructure evolves, and the engineers who built detections move on. In the process, rules quietly break. Ingestion pipelines are flowing, the dashboards still light up, but underneath, key

  • Closing Falcon EDR Gaps with Automated Delivery of New IOA Rules

    Closing Falcon EDR Gaps with Automated Delivery of New IOA Rules

    Managing a threat-informed detection posture across your full security stack is no small task–even for large, leading-edge enterprise security teams. That’s why we’re excited to help our customers unlock the full potential of their CrowdStrike

  • Introducing Cardinal AI for Agentic Exposure Management

    Introducing Cardinal AI for Agentic Exposure Management

    How do you know if your security program is actively reducing exposure risk?   You’ve got a full security stack. Vulnerability findings pile up, but they ignore exposures like cloud misconfigurations and prevention control gaps. You

  • CardinalOps Solution Brief: Unified Exposure Management

    CardinalOps Solution Brief: Unified Exposure Management

    CardinalOps helps enterprise security teams proactively eliminate exposure risk by continuously validating threat coverage, pinpointing exposures that attackers can actually exploit, and enabling high-impact remediations. 

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Never Miss Another Threat

CardinalOps’ Agentic Detection Engineering represents a fundamental shift in how detection engineering operates. Instead of relying solely on manual effort, it introduces a coordinated system of specialized AI agents that optimize the entire detection lifecycle and fly alongside human detection engineers.

Detection teams can scale without adding headcount. Alert fatigue gives way to signal clarity. Detection lifecycle management becomes streamlined instead of sprawling. Feedback from the SOC finally closes the loop to create better detections over time. 

See it for yourself.

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