Case Study

How a Leading Financial Services Firm is Securing Autonomous AI Agents with TrustAI

Discover how a leading financial services institution deployed dozens of autonomous AI agents at scale while maintaining regulatory compliance and zero-trust security principles.

Learn how TrustLogix TrustAI enabled:

  • Accelerated AI innovation with immediate security approval for rapid agent deployment
  • Real-time governance across complex multi-cloud data environments including Snowflake, AWS S3, Oracle, SQL Server, and OneDrive
  • Zero-trust enforcement ensuring AI agents inherit only specific, scoped entitlements of human requesters
  • Comprehensive visibility into agent behavior with natural language investigation capabilities
  • Proven compliance with SOC2, SOX, and data residency requirements through end-to-end identity propagation

The Challenge: AI agents operating with unbounded permissions, creating regulatory risk and operational blind spots across fragmented data landscapes.

The Solution: TrustAI's agent-aware governance integrating with LiteLLM and LlamaIndex to enforce granular, purpose-based access controls through the Model Context Protocol (MCP).

The Results: Trusted AI at scale with behavioral monitoring, compliance at machine speed, and zero performance impact on time-sensitive financial workflows.

Perfect for security leaders, AI engineers, and compliance teams navigating the complexities of agentic AI deployment in regulated industries.

Download the full case study now.

A Leading Financial Services Firm Secures AI Agents with TrustAI
A leading financial services firm deployed dozens of autonomous AI agents at scale while maintaining regulatory compliance and zero-trust security using TrustLogix TrustAI. Download the case study to see how TrustAI's agent-aware governance enabled accelerated AI innovation with real-time visibility, proven compliance, and zero performance impact.