MCP Servers

MCP servers are middleware tools that connect large language models to enterprise data sources and applications. They let AI systems safely access databases, internal tools, and business logic without embedding credentials or sensitive information directly into the model, which reduces breach risk and makes access control auditable. For compliance teams, MCP servers matter because they create a controlled interface where you can enforce authentication, logging, and permission boundaries around what data generative AI can actually reach.

2 items

Corporate PolicyGlobal2026-09-30

Reco's $55M Round Signals AI Agent Visibility as an Enterprise Control Gap

Reco has closed a $55 million funding round led by AT&T Ventures, bringing its total funding to $140 million. The company maps AI agent identities, permissions, data access, and tool connections across enterprise business applications. The round reflects growing recognition that organizations cannot govern what they cannot see when agents operate autonomously.

agentic AI agent identity MCP servers enterprise security least privilege AI governance tooling Reco AT&T Ventures

Standards2026-09-12

AI Governance MCP Server Adds Automatable Safety and Risk Controls

AI Governance Institute expanded ai-governance-mcp from three tools to thirteen. Additions cover MCP configuration review, structured risk classification, output validation, and evaluation tracking. Each maps to the Institute’s control library.

MCP servers agentic AI AI governance tooling red teaming risk classification open-source developer tools AI Governance Institute