How to Measure a Claude Code Threat-Detection Platform
The metrics and signals that prove agentic Claude Code threat detection works — and the vanity numbers that hide failure. A practical 2026 guide.
Agentic AI, LLM engineering, and the models behind modern automation — multi-agent systems, LLM evaluation and comparisons, RAG, fine-tuning, AI infrastructure, security, and production AI engineering.
From the blog
The metrics and signals that prove agentic Claude Code threat detection works — and the vanity numbers that hide failure. A practical 2026 guide.
A realistic walkthrough of building a Claude Code triage agent — from a noisy alert problem to an evaluated, gated, shipped production workflow.
Failure modes, blast radius, and the containment controls that keep an agentic Claude Code threat-detection platform from becoming the incident.
The real skills, roles, and hiring shifts your security team needs to build threat detection with Claude Code agents in 2026.
Grow Claude Code from one detection engineer to many teams without chaos — shared skills, MCP connectors, conventions, and a paved-road platform layer.
An honest look at where Claude Code fits for building threat detection — and the latency-critical, judgment-heavy cases where another approach wins.
The trust, safety, and governance controls leaders need before scaling Claude Code on a threat-detection platform: access, sandboxing, review, and audit.
How security teams build lasting habits, norms, and review rituals when adopting Claude Code for threat detection — change management that actually sticks.
A concrete cost model for building threat detection with Claude Code: where engineering hours and tooling spend genuinely shrink, and where they don't.