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Friday November 6, 2026 11:30am - 12:15pm PST
Broken access control has always been one of the most damaging application security risks. In traditional applications, the failure is usually clear: a user can access an object, record, file, or action they should not be able to access. AI applications make this problem harder because the security boundary is no longer just the object. It is also the conversation, retrieved context, generated answer, prior file selection, user role, and system memory around the interaction.

This talk focuses on a practical and under-tested failure mode in enterprise AI applications: context confusion. A user may be correctly authenticated and authorized, but the AI assistant may still answer using stale, over-broad, mixed, or unauthorized context. This can happen when users switch files mid-conversation, when retrieval pulls from a larger corpus than intended, when conversation history persists across data boundaries, or when the final answer combines allowed and disallowed information in a way that traditional access-control testing does not catch.

The session reframes AI data leakage as an AppSec testing problem rather than a model behavior problem. Attendees will learn how to test context boundaries across multi-turn conversations, file selection flows, retrieval systems, role changes, and generated responses. The talk will introduce a practical test matrix for identifying context bleed, authorization drift, stale retrieval, and response-level disclosure. It will also show how to capture useful evidence for engineering teams without turning the assessment into a vague “AI safety” review.

The goal is to give AppSec teams a concrete way to ask: did the application answer from the right context, for the right user, at the right time?
Speakers
avatar for Anusha Vajha

Anusha Vajha

Security Engineer and Product Manager
Anusha Vajha is a cybersecurity practitioner focused on AI governance, product security, and enterprise AI risk. She has worked across security operations, GRC, detection engineering, and product security in healthcare, financial services, and startup environments.
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Friday November 6, 2026 11:30am - 12:15pm PST
Room: Seacliff AB (Bay Level)

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