Leaders are facing challenges in deploying AI systems that are secure, governed, and operational. Uncertainty surrounding requirements for responsible AI deployment can slow innovation and delay ROI. How can organizations implement governed AI systems that reason with context and deliver reliable outcomes?

Join Neo4j and IndyKite, the runtime control layer for agentic AI, for a fireside chat on the realities of deploying AI agents securely and at scale. 

We’ll discuss everything from how to overcome governance challenges associated with scaling AI in production to improving confidence in AI-driven decisions. Hear how IndyKite’s identity, access, and trust expertise, paired with Neo4j’s connected data foundation, enables secure AI adoption.

You’ll learn:

• How organizations can approach identity-driven AI governance as they move from pilot to production
• Why connected data and knowledge graphs are essential for helping AI systems understand relationships, context, and business meaning
• Practical strategies executives can use to accelerate AI adoption while reducing business risk