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
Recent news of a cyberattack targeting global medical technology manufacturer Stryker is another reminder that even highly sophisticated organizations remain vulnerable to modern cyber threats. The attack reportedly disrupted corporate systems and forced employees offline
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
Traditional SIEM architectures are under increasing strain as modern environments generate massive volumes of security telemetry from cloud, SaaS, containerized workloads, and identity systems. As data volumes grow, organizations face rising SIEM costs and operational
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to operationalize security contextual data, continuously expand detection coverage, and drastically reduce costs from outdated SIEM licensing models.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
CrowdStrike’s 2026 Global Threat Report calls 2025 “the year of the evasive adversary” (see the full report here: https://www.crowdstrike.com/en-us/global-threat-report/) — and for anyone leading detection engineering, that phrase should land heavily. What the report ultimately
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