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    • Map all your detections to MITRE ATT&CK
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    • Embed Detection Engineering into AI SOC
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  • Blog
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  • White Papers
  • Videos
  • 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

  • Bash and Switch: Hijacking via Windows Subsystem for Linux

    Bash and Switch: Hijacking via Windows Subsystem for Linux

    Windows Subsystem for Linux (WSL) is a feature in Windows that allows users to run a real Linux user space directly inside Windows, without needing a virtual machine or dual-boot setup. This feature is commonly

  • 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

  • The Analyst Who Cried Malware: Rethinking False Positives and Alert Fatigue

    The Analyst Who Cried Malware: Rethinking False Positives and Alert Fatigue

    False positives aren’t just annoying. They’re corrosive. Every unnecessary alert chips away at the analyst’s attention span. Every poorly designed rule teaches the SOC to distrust its own tools. Every noisy detection makes it harder

  • SANS 2024 Detection and Response Survey – Transforming Cybersecurity Operations: AI, Automation, and Integration in Detection and Response

    SANS 2024 Detection and Response Survey – Transforming Cybersecurity Operations: AI, Automation, and Integration in Detection and Response

    Download the SANS 2024 Detection and Response Survey to discover insights from cybersecurity professionals on navigating today’s detection and response challenges. Key findings include:

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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CardinalOps

Optimize your cyber defense with AI-powered detection engineering.

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