TAG Infosphere, a professional research and advisory firm serving the cybersecurity community, provides a return on investment (ROI) analysis for the CardinalOps AI-Powered Detection Posture Management platform. Their in-depth analysis shows how the platform delivers
Detection engineers are at a breaking point, managing countless detections, endlessly tuning rules, monitoring telemetry for drift, and researching new adversary behaviors. It’s time for a new model to take flight, with agentic AI pointing
For years, security teams have rallied around a clear idea: shift detection engineering left. Treat detections as code, map them to adversary behaviors, and continuously refine them into high-fidelity signals. On paper, it’s a powerful
For years, security operations leaders have been pushing a simple but powerful idea: shift detection engineering left. Treat detections as code, manage them through lifecycle processes, map to adversary behaviors, then continuously tune, validate, and
CardinalOps closes gaps identified by your BAS platforms and proactively reduces risk with AI-powered detection engineering. By incorporating evidence from attack simulations into automated rule development and tuning workflows, CardinalOps helps accelerate red and purple
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to operationalize security contextual data, continuously expand detection coverage, and drastically reduce costs from outdated SIEM licensing models.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
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 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.
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
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.
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
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