Prompt Injection Isn't Your Biggest Risk: 11 Undefended AI Attack Vectors Discovered
A security analysis of 500+ AI system prompts found that while 92% have some Prompt Injection defense, only 7% defend against 6+ attack vectors. The article outlines 12 key attack vectors, their risks, and how to defend against them.
Why it matters
As AI systems become more prevalent, understanding and defending against the full spectrum of attack vectors is critical to ensuring their security and preventing misuse.
Key Points
- 1Prompt Injection is just one of 12 major attack vectors, but many AI apps are only defending against it
- 2Only 41% of apps have adequate data protection, allowing attackers to steal internal system prompts and bypass defenses
- 3Output control is critical to prevent XSS attacks, but 66% of apps lack this defense
Details
The article presents data from scanning 517 real-world AI system prompts, which found that while 92% have some Prompt Injection defense, the average app only defends against 3.2 out of 12 total attack vectors. Key undefended areas include data leakage (59% unprotected), output control (66% unprotected), and indirect injection (96% unprotected). These blind spots allow attackers to bypass Prompt Injection defenses and gain full control of the AI system. The article provides detailed explanations and sample attacks/defenses for all 12 attack vectors, emphasizing the need for a comprehensive security approach beyond just Prompt Injection.
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