Trust3 AI announces the launch of MCP Security, a security and governance layer for enterprise agentic AI workloads. According to the company and related reporting, the solution is based on the Model Context Protocol (MCP) and is positioned as a new standard for safeguarding how AI agents access and use enterprise data. Trust3 AI describes MCP Security as a key capability within its enterprise agent control plane, aiming to give security and governance teams a unified “trust layer.” The system is intended to help connect AI agents with business applications, data sources, and other internal systems in a controlled and safer manner. Help Net Security adds that the announcement focuses on risks associated with AI agents as more organizations adopt autonomous or agentic AI architectures. The reporting frames the MCP Security layer as designed to address those risks for internal IT teams by applying governance and security controls to the agent-to-data connection process. Both sources describe the offering as newly launched by Trust3 AI and centered on MCP-based enterprise integration for agentic AI deployments.