Guardrails – A Contextual Security Layer for Agentic AI Systems

Show HN: Guardrails – A Contextual Security Layer for Agentic AI Systems

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Hey HN, we are a small team from Europe building in agent security and we have just released Invariant Guardrails, our open-source system to enforce contextual security in AI agents and MCP-powered applications.Guardrails acts as a transparent layer between your LLM/MCP server and your agent. It lets you define deterministic rules that block risky behavior: secret leakage, unsafe tool use, PII exposure, malicious code patterns, jailbreaks, loops, and more.Rules are written in a Python-inspired DSL, enabling powerful contextual logic like below. The origins of this idea go back to OPA/Rego, i.e. policy languages used for authentication. raise "PII leakage in email" if: (out: ToolOutput) -> (c

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Website: invariantlabs.ai/blog/guardrails