Agentic AI offers exciting possibilities for enterprise IT, but realizing its potential in network and security operations requires more than just automation—it demands accurate data and enforceable trust.
In this session, Dr. Nikhil Handigol, co-founder of Forward Networks and a leading expert in agentic AI, will explore the technical requirements and real-world considerations for deploying AI agents in complex network environments. Drawing from live demonstrations and lessons learned in the field, Dr. Handigol will illustrate how digital twin technology enables reliable AI-driven decision-making through behavioral modeling, comprehensive network context, and verification safeguards.
Participants will gain insight into:
• What makes agentic AI different from traditional automation
• How to minimize risk by managing autonomy and controlling agent behavior
• Why trustworthy, normalized network data is essential for AI success
The session will also cover strategies for integrating AI agents into existing workflows—such as IT ticketing and security audits—without compromising operational integrity. Whether you’re evaluating agent-based architectures or already experimenting with LLMs in IT operations, this session offers a grounded, technical perspective on what it takes to make agentic AI work in practice.