Trent AI

Trent AI is included in the Awesome MLSecOps AI Agent and MCP Security directory. The community-maintained README describes it as: “Agentic AI security platform that continuously assesses AI agents, MCP servers, LLM and AI-native applications, and code shipped with AI coding tools, traces attack chains, and verifies proposed fixes landed.” 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 published at trent.ai. 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.

Agentic AI security platform that continuously assesses AI agents, MCP servers, LLM and AI-native applications, and code shipped with AI coding tools, traces attack chains, and verifies proposed fixes landed

Neutral catalog description synchronized from the Awesome MLSecOps README