SOC Processes Archives

Don’t Vibe Code Your Detection Program: Going Beyond DIY with the CardinalOps Foundation

Detection engineering functionality can be vibe coded in days (or less) with AI models, copilots, and agent orchestration frameworks, raising an important strategic question: should you build your own agentic detection capabilities, or choose vendor

TAG Cyber ROI Analysis for CardinalOps

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

The Detection Engineering Breaking Point: How Agentic AI Changes the Equation

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

CardinalOps + Breach Attack Simulation Platforms

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

Beyond SIEM: Building a Detection-First Security Data Architecture

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 + Security Data Lakes and Pipelines

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to operationalize security contextual data, continuously expand detection coverage, and drastically reduce costs from outdated SIEM licensing models.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

From MDR to AI SOC: How Detection Engineering Powers the Next Era of Security Operations

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 + AI SOC Platforms

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.

Mapping The Initial Steps on Your SOC’s AI Journey

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

AI-Enabled SOC Readiness Checklist

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.