AAKANSHA PURI
There are 2 speakers for this talk. Below is the biography of both speakers:
Aakansha Puri: Aakansha Puri is a Cloud Security Associate Architect at Thomson Reuters with 6 years of information security experience specializing in AI and cloud security. She leads enterprise AI/ML security reviews, develops AI security standards, and assesses AI applications from third-party SaaS to internal development.
A Thomson Reuters CISO Award and Hall of Fame recipient, she previously worked in Deloitte's Cyber Detect and Respond practice. AWS Solutions Architect certified, Aakansha actively shares AI security research through blogs and community engagement, focusing on the critical intersection of AI, cloud, and enterprise security.
Session
The Model Context Protocol (MCP) unlocks powerful tool use for LLMs—but it also widens the blast radius: arbitrary tool calls, untrusted context, and exfil-prone plugins. This talk introduces a Zero-Trust MCP Server Gateway that sits between LLM agents and MCP tools to enforce policy, isolate risk, and add observability. We’ll cover identity for agents and tools, per-tool allow/deny lists, schema validation, and least-privilege scopes.We’ll map MCP server security controls to AI risks (prompt injection, sensitive information disclosure, insecure tool use). Attendees leave with a reference architecture for secure MCP server deployment.