RAG Access Control Vulnerabilities: Data Exfiltration and...
Definition
These vulnerabilities arise when Retrieval Augmented Generation (RAG) systems fail to enforce granular authorization policies on retrieved documents or generated responses. This allows an attacker to craft prompts that bypass intended access controls, leading to the retrieval and exposure of sensitive data from unauthorized knowledge bases or the generation of responses based on restricted information.
Why It Matters
Such failures directly enable catastrophic data exfiltration of PII, intellectual property, or confidential business data. Attackers can leverage these vulnerabilities to escalate privileges, trigger unauthorized API calls via tool-use agents, or manipulate system behavior, leading to severe compliance breaches and operational disruption.
How Exogram Addresses This
Exogram's 0.07ms deterministic policy rules intercept both incoming prompts and outgoing RAG retrieval requests *before* execution. Our Zero Trust engine applies granular, context-aware policies to validate user authorization against specific knowledge base segments and document metadata, blocking unauthorized retrieval attempts and preventing the generation of responses containing restricted information at the execution boundary.
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Related Terms
Key Takeaways
- → This concept is part of the broader AI governance landscape
- → Production AI requires multiple layers of protection
- → Deterministic enforcement provides zero-error-rate guarantees