Adrian

Adrian is included in the Awesome MLSecOps AI Agent and MCP Security directory. The community-maintained README describes it as: “Apache-2.0 runtime monitoring and control engine that judges an agent's tool calls, outputs, and reasoning traces against its declared remit to detect misaligned, off-policy, or out-of-remit behaviour and block or hold actions in flight, with self-hosted deployment and SDKs for LangChain, Anthropic, TypeScript, and Claude Code.” Its MLSecOps relevance is the security of agent identities, tool permissions, memory, credentials, approval paths, sandboxes, runtime actions, or MCP integrations. The linked first-party source is the secureagentics/Adrian repository on GitHub. A technical review should test the project's documented evidence across four criteria: Tool-level authorization, Memory and context controls, Sandbox boundaries, and Audit and approval workflows. Compare that evidence with the intended architecture and threat model. Catalog inclusion establishes relevance to this security category; it is not a certification, comparative ranking, or endorsement. Confirm current capabilities, maintenance, licensing, limitations, and deployment assumptions in the first-party documentation before adoption.

Apache-2.0 runtime monitoring and control engine that judges an agent's tool calls, outputs, and reasoning traces against its declared remit to detect misaligned, off-policy, or out-of-remit behaviour and block or hold actions in flight, with self-hosted deployment and SDKs for LangChain, Anthropic, TypeScript, and Claude Code

Neutral catalog description synchronized from the Awesome MLSecOps README