Securing Claude Agents: Sandboxing and Injection Defense
Harden Claude Managed Agents: sandbox tools, least-privilege scopes, keep secrets off the model, and contain prompt injection so hijacks stay harmless.
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
Harden Claude Managed Agents: sandbox tools, least-privilege scopes, keep secrets off the model, and contain prompt injection so hijacks stay harmless.
Reduce token cost and latency in Claude Managed Agents with prompt caching, batching over fan-out, lean context, and matching the model to each task.
Diagnose and fix the three failure modes in Claude Managed Agents — loops, wrong tools, and hallucinated arguments — with transcript-driven debugging.
What to put in a Claude agent's context and what to leave out: the inclusion decision, retrieval over inclusion, durable state, lean handoffs.
Connect MCP servers to Claude agents safely: server-side auth, tight schemas, typed errors, and idempotent writes that survive retries.
Code-level patterns for Claude agents: role contracts, guarded tools, context slices, structured results, and rubric-as-data verifiers.
A hands-on walkthrough: build a Claude Managed Agent with subagents, tools, success criteria, budgets, and idempotent writes.
How Claude Managed Agents work end to end: the orchestration loop, subagent isolation, durable state, verification, and budgets explained.
A practical engineering deep dive into Claude Opus 4.7, covering architecture, tradeoffs, and what production teams need to know about 1M context window.