Expert Tech Talks - Infrastructure Over Models: Why Enterprise AI Is Really a Control-Plane Problem

#EnterpriseAIGovernance #AIAwareGateway #ExecutionGateway #AgentSecurity #ModelGovernance #IdentityContextPreservation #SensitiveDataProtection #PolicyEnforcement #MCPServerManagement #AIReferenceArchitecture #INGR

Special Presentation by Phani Patelkhana

Hosted by the Expert Tech Talks (IEEE Philadelphia Section)

Date/Time: Monday, 6 July 2026 @ 7 PM Eastern Time

Topic:

Infrastructure Over Models: Why Enterprise AI Is Really a Control-Plane Problem

Abstract:

Enterprise AI often begins with a small and successful pilot: one team, one model, one data source, and clearly defined security rules.

As adoption grows, different teams introduce their own models, data sources, agent frameworks, MCP servers, and security approaches. Each team may make reasonable choices, but the overall environment can quickly become fragmented and difficult to govern.

This talk examines common patterns across enterprise AI programs and explains why many production risks emerge between systems rather than inside the model itself. Sensitive information may be sent to an unapproved model, user or tenant context may be lost, applications may apply inconsistent safety policies, and agents may gain access to tools or actions beyond what they need.

The session introduces a practical reference architecture built around two shared control points: an AI-aware gateway that governs how applications interact with models, and an execution gateway that controls how agents access tools, APIs, MCP servers, and business systems.

The talk also explores how organizations can apply consistent policies, protect sensitive data, preserve trusted identity context, approve high-risk actions, and monitor model and tool usage—without forcing every team to use the same model or application framework.

Speaker:

Venkata Phani Patelkhana is an IEEE Senior Member and Distinguished Engineer at Dell Technologies, with more than 19 years of experience in enterprise API platforms, distributed systems, API security, and agentic AI architectures. His current work focuses on AI control planes, MCP gateways, agent identity, runtime authorization, and helping enterprises transition safely from API-first to agent-first ecosystems. He holds patents related to decentralized API gateway architectures and regularly writes and speaks about practical approaches to securing and governing enterprise API and AI ecosystems.