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[>_] ROOM · Cybersecurity
Sensitive Information Disclosure
Master the techniques and defenses against Sensitive Information Disclosure (OWASP LLM06) in AI applications, including PII leakage and RAG data exfiltration.
Room tasks
1What Can an LLM Accidentally Leak (PII, Secrets, Internal Data)
2Training Data Leakage Explained
3Techniques for Probing for Disclosure
Frequently Asked Questions
What is sensitive information disclosure in LLM apps?
It is when a model or its connected systems reveal private data such as PII, credentials or proprietary content. Leaks can come from training data, prompts, memory or retrieved documents.
How do attackers extract PII from an AI app?
They use crafted prompts, repeated probing or injection to make the model reveal data it saw in training or retrieval. Weak output filtering and broad data access increase the exposure.
How can this risk be reduced?
Minimize the sensitive data a model can access, enforce access controls, filter outputs and avoid training on private data. This free Codelivly room covers testing and defenses.