

EP173 SAIF in Focus: 5 AI Security Risks and SAIF Mitigations
7 snips May 20, 2024
Shan Rao, Google's Group Product Manager, discusses AI security risks in cloud environments, covering 5 risks and popular SAIF mitigations. He talks about moving quickly and securely with AI, future trends in securing AI, and the integration of AI security with other domains. The podcast provides various resources for securing AI products with Google SAIF.
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Cloud Advantages for AI Security
- Cloud offers significant advantages for AI security due to pre-existing hardened infrastructure and established security practices.
- Leveraging cloud infrastructure allows organizations to benefit from Google's substantial investments in AI security.
Key Security Considerations for AI
- Hardware and software supply chains, data governance, and model theft are crucial security considerations, especially for AI.
- Protecting models and related artifacts is critical due to their value and potential for exploitation.
Prompt Injection Example
- A remote work company's Twitter bot was manipulated through prompt injection to send threatening messages.
- This highlights the potential misuse of even seemingly innocuous AI models.