Risk Management Show Protecting AI Data: Key Risks and Solutions with Jason Rogers
Mar 11, 2025
Join Jason Rogers, CEO of Invary and expert in AI data security, as he shares his insights on safeguarding critical data from tampering and theft. Discover essential strategies like confidential computing and runtime attestation that can dramatically enhance data security. Jason emphasizes the importance of protecting training data, metadata, and inference data throughout their lifecycle. He urges organizations to reevaluate their data management practices and explore open-source initiatives to better guard their valuable information. Tune in for essential data protection tips!
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AI Data Risks
- AI data, including training data, metadata, and inference data, are valuable assets.
- These assets are at risk of tampering, theft, and accidental manipulation, impacting AI outcomes and organizational security.
Mitigating AI Data Risks
- Implement confidential computing to encrypt data in use and memory, addressing a critical security gap.
- Leverage attestation, including runtime attestation, to verify system integrity and prevent unintended data manipulation.
First Steps for CISOs
- CISOs and risk managers should prioritize understanding their AI data usage and protection.
- Evaluate data security and confidentiality, particularly for inference data containing sensitive information.