Zero Trust Agent Patterns: Prompts, Tools, and Context
Reusable patterns for zero trust Claude agents: trust-labeled context, capability tools, plan-then-confirm, default-deny registration, and output quarantine.
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
Reusable patterns for zero trust Claude agents: trust-labeled context, capability tools, plan-then-confirm, default-deny registration, and output quarantine.
A hands-on walkthrough to build a Claude multi-agent orchestrator with the Agent SDK: plan as a tool, parallel waves, shared state, verification, and recovery.
A step-by-step build for a Claude security reviewer that scans diffs, traces taint with tools, verifies in a sandbox, and gates pull requests in CI.
A step-by-step guide to add zero trust to a Claude agent: short-lived tokens, a policy gate, an MCP broker, narrow tools, and a signed audit trail.
How a Claude agent orchestration system fits together end to end: orchestrator, subagents, MCP tool bus, shared state, and failure recovery in 2026.
Inside the architecture of a Claude-powered code security agent: ingestion, retrieval, reasoning, and verification that turns hunches into proven findings.
How a zero trust architecture for Claude agents fits together end to end: agent identity, policy decision points, MCP brokers, and per-action authorization.
Where Claude Code and agentic development are going next — longer autonomy, agent fleets, standard protocols — and the concrete steps to prepare today.
The metrics that prove Claude Code and agentic coding deliver value — surviving throughput, rework, review load, failure rate — and the vanity metrics to ignore.