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Security guardrails enforce policy-based controls at deployment and runtime to prevent unauthorized actions and data exposure. This Skill provides production-grade patterns for embedding guardrails into agent workflows, covering capability scoping, multi-layer controls, human-in-the-loop validation, and CI/CD integration to catch risks before rollout.

RAG security requires governance at retrieval, processing, and response stages. This Skill covers safe retrieval patterns, PII masking, data privacy handling, and guardrail enforcement specifically for RAG agents, ensuring sensitive information stays protected through the entire pipeline.

Multi-agent systems need consistent governance across agent handoffs and tool integrations. This Skill provides orchestration patterns, MCP tool definitions with security boundaries, reusable decision rules, and validation logic to enforce policies across distributed agents and prevent capability drift.

Yes. This Skill integrates security controls into LangGraph action loops and pairs them with OpenTelemetry observability for real-time monitoring of agent decisions and data flows, enabling you to detect policy violations and anomalies in production.

Deployment requires tool definitions, memory system design, MCP integrations, rollout risk assessment, and observability planning. This Skill covers the full pre-deployment checklist including capability-maturity scoping, validation logic, and CI/CD specifications to ensure agents meet security and functional requirements.

PII handling involves masking, tokenization, and access controls at ingestion and output. This Skill provides data privacy guidance and masking patterns for agents that process sensitive information, ensuring compliance across retrieval, processing, and response generation stages.