Revolutionizing Platform Engineering with AI Agents and GraphRAG

Session Track: AI Engineering

Session Time: 02:45 pm - 03:00 pm November 6

Session description

As cloud infrastructure becomes increasingly complex, developers and platform engineers face growing challenges in navigating interconnected systems, diagnosing issues quickly, and managing DevOps workflows effectively. In this session, learn how Outshift by Cisco developed an internal AI platform engineer powered by Neo4j and a GraphRAG framework to address these challenges. Join Shubham as he demonstrates how AI agents dynamically inject and connect data from diverse systems—such as AWS, Kubernetes, Backstage, and more—into a Neo4j graph database. Discover how this cutting-edge approach enhances developer productivity, reduces Mean-Time-to-Detect (MTTD) during incidents, accelerates access to critical insights, and drives operational efficiency in today’s dynamic and fast-paced cloud environments.

Speaker

Shubham Bakshi

Security Architect, Outshift

Shubham Bakshi is a security architect at Outshift, Cisco's research and incubation engine. With more than eight years of experience spanning site reliability engineering, security engineering, and AI platform development, he has worked on large-scale deployments in dynamic environments where DevOps and security requirements evolve rapidly. Shubham is passionate about leveraging cutting-edge technologies to drive innovation in security. Outside of work, he is an avid fan of Star Trek (TNG) and enjoys the timeless adventures of Tintin.