Securing Claude agents: sandboxing, least privilege, injection (Enterprise AI Transformation Claude)
Harden Claude agents with sandboxing, least privilege, secrets isolation, and prompt-injection defense for safe production deployment.
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From the blog
Harden Claude agents with sandboxing, least privilege, secrets isolation, and prompt-injection defense for safe production deployment.
Slash Claude agent token cost and latency with prompt caching, model routing, batching, and lean context — without losing quality.
Fix the three failure modes that break Claude agents: runaway loops, wrong tool calls, and hallucinated arguments — with concrete debugging steps.
Design context for Claude agents the right way — what belongs in the window, what to exclude, and why curation beats stuffing for accuracy and cost.
Connect MCP servers to Claude the right way — authentication, structured error handling, and idempotency that keep enterprise agents safe.
Code-level patterns for structuring Claude agents — sectioned prompts, narrow tools, plan-then-act, and subagents — that survive production.
A concrete, code-level walkthrough to build an enterprise Claude agent from empty repo to a running tool-using loop with MCP and guardrails.
How an enterprise Claude agent really works inside — the model loop, context window, MCP tools, skills, and subagents, wired together end to end.
LLM tokens are the visible cost. The hidden 60-70% — evals, observability, guardrails, human review — is where TCO actually lives.
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