AI agents are moving fast. Your security controls need to keep up.

Thousands of AI agents are being deployed across enterprise systems, accessing sensitive and regulated data through Model Context Protocols with little visibility, inconsistent controls, and no real-time enforcement. Traditional identity and access tools were built for humans; they cannot govern the non-linear, autonomous behavior of AI agents at machine speed.

This solution brief explains how TrustAI by TrustLogix closes the gap. As a centralized policy control plane built for agentic, MCP-driven environments, TrustAI intercepts every agent request before data is accessed, enforces fine-grained controls across Snowflake, Databricks, and other enterprise systems, and gives security and data teams unified visibility across every agent interaction.

Inside, you'll learn:

• Why legacy IAM and OAuth are insufficient for governing AI agents
• How MCP proliferation creates ungoverned access paths across cloud and on-prem environments
• How TrustAI's three-phase framework covers agent registration, real-time authorization, and continuous risk monitoring
• How enterprises are using TrustAI to enforce least-privilege access, apply dynamic masking, and maintain audit-ready compliance

Download the complimentary solution brief to see how TrustLogix helps enterprises move fast with agentic AI and keep control of their data.

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