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HOME Resources
  • Blog
  • Newsroom
  • Webinars & Events
  • White Papers
  • Videos
  • It’s Not a Bug, It’s Feature Abuse: A Deep Dive Into Azure Web App Logs and Attack Visibility

    It’s Not a Bug, It’s Feature Abuse: A Deep Dive Into Azure Web App Logs and Attack Visibility

    Azure makes it easy to spin up serverless functions and web apps, a convenience  that often comes with security blind spots. Logs are fragmented across services, authentication defaults may leave endpoints exposed, and preview environments

  • MCP Defaults Will Betray You: The Hidden Dangers of Remote Deployment

    MCP Defaults Will Betray You: The Hidden Dangers of Remote Deployment

    The Model Context Protocol (MCP) enables seamless integration between large language models (LLMs) and external tools. It powers agent-driven workflows in platforms like Claude Desktop and GitHub Copilot. Typically, developers use MCP servers to expose

  • Polymorphic AI Malware: A Real-World POC and Detection Walkthrough

    Polymorphic AI Malware: A Real-World POC and Detection Walkthrough

    What Is Polymorphic AI Malware? Polymorphic AI malware refers to a new class of malicious software. It leverages artificial intelligence models, such as GPT-based language models, to dynamically generate, obfuscate, or modify its own code

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.

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CardinalOps

Optimize your cyber defense with AI-powered detection engineering.

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