Security Hardening for Claude Agents With Tool Access
Sandboxing, least privilege, secrets handling, and prompt-injection defense for Claude agents connected to security and compliance tools.
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
Sandboxing, least privilege, secrets handling, and prompt-injection defense for Claude agents connected to security and compliance tools.
Prompt caching, batching, and model routing that keep Claude Opus security agents fast and cheap at thousands of runs a day.
Caching, batching, and result shaping that keep Claude security and compliance agents fast and cheap without sacrificing audit accuracy.
Fix loops, wrong tool calls, and hallucinated arguments when Claude agents connect to SIEM, scanners, and compliance tools — a practical debugging playbook.
Fix the top Claude Opus agent failures — loops, wrong tool calls, and hallucinated arguments — with concrete debugging tactics for security workflows.
Design a Claude Opus security agent's context: what to include, what to leave out, layering, compaction, and defending against prompt injection.
What to put in a Claude security agent's context, what to leave out, and why: lean, intentional, eval-tuned context design for compliance work.
Production MCP engineering for Claude security tools: scoped auth, typed schemas, structured error handling, and idempotency that survive retries.
Wire MCP servers into a Claude Opus security agent the right way: least-privilege auth, strict schemas, typed errors, and idempotent write actions.