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    • Map all your detections to MITRE ATT&CK
    • Gain new detections to address critical gaps
    • Identify and fix broken detection rules
    • Pinpoint root causes of noisy rules
    • Continuous Threat Exposure Management (CTEM)
    • Operationalize threat intelligence
    • Measure the depth of ATT&CK coverage
    • Assess and improve your detection posture
    • Embed Detection Engineering into AI SOC
    • Manage detection posture across multiple SIEMs
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HOME Resources
  • Blog
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  • Webinars & Events
  • White Papers
  • Videos
  • Is Your SOC AI-Ready? The Transformation Blueprint

    Is Your SOC AI-Ready? The Transformation Blueprint

    Is your SOC AI-ready? If so, how should detection engineering guide AI strategy and implementation? With all the hype, it’s tempting to just deploy and figure things out as you go. But without the right

  • 12 Days of Detections

    12 Days of Detections

    While most people hang lights, wrap gifts, and sing carols, detection engineers are busy doing what they do best: detecting insider threats from disgruntled elves and investigating incidents caused by careless reindeer. So why not

  • Is Your SOC AI-Ready? The AI SOC Transformation Blueprint

    Is Your SOC AI-Ready? The AI SOC Transformation Blueprint

    Is your SOC AI-ready? If so, how should detection engineering guide AI strategy and implementation? With all the hype, it’s tempting to just deploy AI and figure it out as you go. But without the

  • Guide to Compensating Controls

    Guide to Compensating Controls

    Security teams face an overwhelming reality: too many exposures, too few resources, and limited time to patch everything. In practice, direct remediation is often delayed or even impossible—yet the risks remain. That’s where compensating controls

  • 2025 State of SIEM Report

    2025 State of SIEM Report

    In our fifth annual report, CardinalOps analyzed a range of production SIEM environments to evaluate the coverage, health and overall performance of enterprise threat detection programs. This report includes the data of 13,000 detection rules

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.

Book a Demo
CardinalOps

Optimize your cyber defense with AI-powered detection engineering.

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