Migrating a SOC Workflow to a Claude Code Agent
A staged, reversible rollout plan for moving a threat-detection workflow onto a Claude Code agent: baseline, shadow mode, canary, and instant rollback.
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
A staged, reversible rollout plan for moving a threat-detection workflow onto a Claude Code agent: baseline, shadow mode, canary, and instant rollback.
Build an eval loop for a Claude Code threat-detection agent: labeled cases, deterministic plus LLM-judge scoring, and CI gates that block regressions.
Sandboxing, least privilege, secrets handling, and prompt-injection defense for a Claude Code threat-detection agent that reads adversary-controlled data.
Caching, batching, model cascades, and per-run budgets that keep a Claude Code threat-detection agent fast and cheap without losing investigation quality.
Fix the common Claude Code agent failures — loops, wrong tool calls, hallucinated args — in a threat-detection build, with hooks, validation, and replay.
What to put in context and what to leave out for a Claude Code threat-detection agent, and why it decides accuracy.
Wire tools and MCP servers into a Claude Code threat-detection agent: auth, schemas, error handling, idempotency.
Code-level patterns for prompts, tools, and context in a Claude Code threat-detection agent that stays reliable.
Step-by-step walkthrough to build a threat-detection triage agent on Claude Code, from ingestion to a working loop.