Feeding and Fencing AI Agents: Engineering Governed Agentic Systems on Real-Time Data
This session explores how to make autonomous AI agents trustworthy at scale.
Using a fraud investigation scenario built on Apache Kafka, the Model Context Protocol (MCP), and an LLM-based reasoning agent, the talk shows how governance can be engineered into both the real-time data layer and the tool boundary that controls agent actions.
Attendees will learn
- Why the trust boundary in an agentic system belongs in the server, not only in the prompt
- How MCP can be used as a typed, auditable governance contract
- Engineering patterns behind shadow mode, approval-gated tools, and multi-model routing
- How these concepts come together in a working open-source reference implementation they can explore afterward
This session is designed for engineers, architects, product leaders, researchers, students, and anyone interested in building trustworthy AI-agent systems.
Date and Time
Location
Hosts
Registration
-
Add Event to Calendar
Loading virtual attendance info...
- Contact Event Hosts
- Co-sponsored by Central Indiana IEEE Computer Society
- Starts 21 June 2026 04:00 AM UTC
- Ends 24 July 2026 04:02 PM UTC
- No Admission Charge
Speakers
Biography:
Gajendra Babu Thokala is a senior engineering leader at FAANG with over 18 years of IT experience, having previously spent over a decade at Microsoft. He has extensive experience designing large-scale data engineering solutions and real-time streaming systems, and has successfully designed, scaled, and delivered numerous high-throughput platforms at massive scale.
He is an IEEE Senior Member and a Fellow of the British Computer Society (BCS). He serves as a peer reviewer for IEEE and Elsevier and co-chairs the ACM Irving Chapter. He is the author of two books and an international keynote speaker, well-known for turning complex technical challenges into working, scalable platforms and for sharing first-hand insight on building trusted systems capable of real-time processing.