Webinar

Persistent Systems Podcast: From AI Velocity to AI Trust with Simon Thornell

AI agents don't wait for approvals. They access tools, trigger workflows, and touch sensitive data at machine speed. The governance models most enterprises rely on were built for human-speed processes. That gap is real, and it's growing.

In Persistent's Re(AI)magine podcast episode, Simon sits down with Akshay Chitlangia, VP Technology at Persistent Systems, to work through what it takes to run agentic AI in production without losing control of your data.

The conversation covers a lot of ground. Why standing privileges break down when agents start making real-time requests across systems. How MCP sprawl multiplies exposure across every tool server, connector, and API in your environment. Why audit logs and runtime observability aren't nice-to-haves anymore; they're the difference between governance that works and governance that looks good on paper.

The answer isn't more approval layers. It's embedding policy-as-code, least-privilege enforcement, and audit-ready telemetry directly into the engineering ecosystem. Agents operate at speed. The controls have to keep up.

Simon's take: organizations that get this right bring identity, access, observability, and runtime intelligence together before their risk scales faster than their trust.

[Listen to the episode →] https://www.persistent.com/insights/podcasts/episode-16-from-ai-velocity-to-ai-trust/

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Simon Thornell on Governing AI Agents at Machine Speed | TrustLogix
TrustLogix Field CTO Simon Thornell joins Persistent Systems on the Re(AI)magine Conversations podcast to discuss real-time authorization, least-privilege access, and runtime observability for enterprise AI agents.