Skip to content
CardinalOps
  • Platform

    Platform

    • Threat Coverage Platform
    • Agentic Fleet
  • Use Cases

    Use Cases

    • 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
  • Integrations
  • ROI & Pricing
  • Company

    Company

    • Who we are

      Meet the leadership team, advisors, investors, and mission that drive us forward.

    • Why work here

      Big challenges need big thinkers. Are you up to it?

    • Careers

      Your opportunity to make a difference … for our customers, the world, and yourself.

    • Security & Compliance

      We value the privacy and security of your data.

  • Resources

    Resources

    • Blog
    • Newsroom
    • Webinars & Events
    • White Papers
    • Videos
  • Contact Us
  • Book a Demo
HOME Resources
  • Blog
  • Newsroom
  • Webinars & Events
  • White Papers
  • Videos
  • Leveraging Metrics in Google SecOps SIEM for Enhanced Threat Detection

    Leveraging Metrics in Google SecOps SIEM for Enhanced Threat Detection

    Google Security Operations (SecOps) SIEM offers powerful tools for threat detection, and one of its most valuable features is the use of metrics within YARA-L rules. Metrics allow you to aggregate historical data over extended

  • CardinalOps Case Study: Repsol Increases SOC Efficiency and Productivity While Fixing Detection Gaps

    CardinalOps Case Study: Repsol Increases SOC Efficiency and Productivity While Fixing Detection Gaps

    See how Repsol, one of the world’s largest energy companies, integrated CardinalOps into their security operations and helped to optimize their SOC with automation, enhanced speed, and accuracy. With CardinalOps, Repsol SecOps significantly increased its

  • CardinalOps Case Study: Global Bank Takes Control of their Detection Posture

    CardinalOps Case Study: Global Bank Takes Control of their Detection Posture

    See how one of the world’s largest banks leveraged the CardinalOps platform to automate their MITRE ATT&CK mapping and maximize their detection coverage and fidelity. The multinational financial services organization was able to gain visibility

  • Enhancing Cyber Defense Through Automated Security Control Assessment (ASCA)

    Enhancing Cyber Defense Through Automated Security Control Assessment (ASCA)

    A chaotic threat landscape and rapidly changing attack techniques has organizations facing increased pressure to deal with persistent threats by developing and deploying new security controls and being able to identify and manage misconfigured controls.

  • CardinalOps Now Available for Purchase on the CrowdStrike Marketplace

    CardinalOps Now Available for Purchase on the CrowdStrike Marketplace

    CardinalOps, the leading detection posture management company, today announced that its CardinalOps Platform for Falcon® LogScale and CardinalOps TI-Ops for Falcon® Adversary Intelligence Premium are now available for purchase in the CrowdStrike Marketplace.

  • CardinalOps Launches TI-Ops to Operationalize Adversary Intelligence through AI and Automation

    CardinalOps Launches TI-Ops to Operationalize Adversary Intelligence through AI and Automation

    Turn real adversary behaviors (TTPs) into actionable detection Organizations are struggling to keep up with an evolving threat landscape and security teams are increasingly burdened with the pressure to build an effective cyber defense against

  • SANS 2024 SOC Survey: Facing Top Challenges in Security Operations

    SANS 2024 SOC Survey: Facing Top Challenges in Security Operations

    Download this annual survey from the SANS Institute to gain insights from active SOC managers and analysts around best practices for running a SOC. Key observations include:

  • 2024 Report on State of SIEM Detection Risk

    2024 Report on State of SIEM Detection Risk

    In our fourth annual report, CardinalOps set out to gain visibility into the current state of use case development and threat detection coverage in enterprise SOCs. We gathered and analyzed data from production SIEM instances.

  • Safeguarding Azure Blobs: Detecting Public Network Access Configurations

    Safeguarding Azure Blobs: Detecting Public Network Access Configurations

    Microsoft Azure utilizes blobs to house large amounts of unstructured data. An Azure blob can be configured to be accessed from specific IP addresses only. This is the common configuration and a known best practice

  • The Importance of Proactive Detection Engineering in Light of Ivanti’s VPN Vulnerabilities

    The Importance of Proactive Detection Engineering in Light of Ivanti’s VPN Vulnerabilities

    Ivanti’s recent disclosure of a new high-severity flaw in its Connect Secure VPN devices marks the fifth such vulnerability revealed over the past couple of months. This alarming trend sheds light on a broader issue

  • SOC Evolution Is About More Than Automation

    SOC Evolution Is About More Than Automation

    CEO and Co-Founder of CardinalOps, Michael Mumcuoglu, discusses SOC modernization and internal pressures that are forcing SOC teams to adapt their strategies including expanding attack surfaces and a shortage of well-trained security talent.

  • 2024 Predictions from Michael Mumcuoglu, CEO and Co-founder, CardinalOps

    2024 Predictions from Michael Mumcuoglu, CEO and Co-founder, CardinalOps

    Michael Mumcuoglu, CEO and Co-founder of CardinalOps, provides three cybersecurity predictions for 2024 around Generative AI, the SEC cybersecurity disclosure rules, and the increasing impact of national-state sponsored actors.

Previous Page
1 2 3 4 5
Next Page

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.

  • Platform
  • Use Cases
  • Integrations
  • Company
  • Resources

© 2026 CardinalOps

Privacy Policy | Terms & Conditions | Security & Compliance