Trust3 AI Introduces MCP Security for Enterprise AI Governance

Trust3 AI has launched Model Context Protocol (MCP) Security, a framework for securing and governing enterprise agentic AI workloads, announced in a press release. The solution is part of the company’s enterprise agent control plane and provides a unified trust layer to connect AI agents with business data, applications, and systems under strict identity and access controls.

MCP Security addresses risks associated with autonomous AI architectures by verifying every agent connection, isolating credentials with single purpose tokens, and inspecting agent instructions through a content firewall. The platform also provides immutable logging for audit trails and compliance.

The system extends Trust3 AI’s data access control into an Agent DOS (Discovery, Observability, Security) platform. Its IQ Intelligence Layer uses an AI based metadata knowledge graph to add context to agent actions, reducing errors and clarifying identity and security rules across MCP and agent to agent communications.

According to Trust3 AI, this approach allows security teams to trace and audit every agent transaction across data sources while maintaining compliance and operational agility.