AI Model Penetration: Testing LLMs for Prompt Injection & Jailbreaks
Building secure AI models requires understanding vulnerabilities like prompt injections and excessive agency, utilizing static and dynamic application security testing methods to ensure safety and functionality, especially given the complexity and scale of available models.
MAIN POINTS FROM TRANSCRIPT
- AI models face unique vulnerabilities like prompt injections and excessive agency.
- Testing AI models is crucial before user or adversary exposure.
- Static and dynamic application security testing methods can secure AI models.
- The scale of available models makes manual inspection impractical.
TAKEAWAYS
- AI models can be compromised, similar to traditional software vulnerabilities.
- Prompt injections can lead to unauthorized actions or data breaches.
- Static testing analyzes source code for known vulnerabilities.
- Dynamic testing involves penetration tests on live systems.