Alert fatigue is not a monitoring problem. It is an architecture problem.
Your CNAPP generates 500 alerts a day. Your team addresses 40.
Signature-based detection and misconfiguration scanning produce volume, not signal. The critical finding is buried in noise until it is a breach.
Misconfigurations reach production because scanning happens after deployment.
Post-deployment scanning is detection after the fact. By the time a misconfigured workload is flagged, it has been running in production — exposed — for hours or days.
Your CNAPP has no visibility into AI agents accessing cloud resources.
Traditional CNAPP tools inventory containers, functions, and VMs. None of them classify the AI agents making API calls to those resources — the fastest-growing attack surface in enterprise cloud environments.
10 questions. Cloud posture gap score. Immediate output.
Output: your cloud posture gap score (0–100), top 3 misconfiguration risks by severity, and the compliance framework your cloud controls are currently failing.
Kernel-level workload containment. Not another alert layer.
Prefer to start with governance? Take the free AI governance assessment for an AI agent risk exposure score and board-ready summary.