Connecting Your Data to LLMs: Identity, Functions and Agents are all you Need - BRKETI-2411#

Speakers: Marcelo Yannuzzi (Cisco)

• Why: Agentic identity — who is allowed to touch which data when an LLM acts on a user's behalf — is squarely in the PM's identity wheelhouse, and this session describes an authorization architecture for LLM data access, albeit with heavy Cisco product framing.
• What: Architectures and tools for connecting enterprise data to LLMs without migrating it: real-time prompt inspection that identifies what data a request needs, determines whether the user has rightful access to it, and serves only authorized data — plus Cisco's products in this space. (from abstract only)
• How: Prompt-time analysis extracts data requirements from the user's natural-language request, then an authorization decision (presumably against existing identity/entitlement systems) gates which data the LLM is actually allowed to retrieve and serve, keeping data on-prem under enterprise control.
• Where applicable: Enterprises bringing GenAI to their own data rather than moving data to public clouds. Cisco-specific tooling is the demo vehicle, but the access-control-on-top-of-LLM-retrieval pattern is the generalizable part. Skeptic's note: expect product positioning; the identity architecture questions are the substance worth extracting.