Scaling Agents in Production

AI Agents are moving fast, tackling all manner of enterprise workflows, and revolutionizing how things get done. Agentic trust is suddenly a mandate, as organizations employ these worker bees in new and innovative ways. The big question now? How can these Agents be supervised, managed and optimized?

Register for this episode of DM Radio to learn from veteran Analyst David Linthicum will share key insights into the hard challenges of AI Supervision. Joining the show will be Lior Gavish, CTO and Co-Founder of Monte Carlo Data, who will demonstrate how their platform provides critical functionality for monitoring and managing AI Agents.

Attendees will learn:

How to establish visibility into agentic behavior across workflows, systems, APIs, and data sources How to enforce guardrails and policies at runtime - not just during development and testing How to detect and contain rogue or unexpected agent behavior before it spreads across the enterprise How to build an Agentic Governance framework that balances autonomy, accountability, security, and business value How to not get hacked, a la the Hugging Face fiasco