Designing Secure AI: Key Takeaways from CISA's Best Practices for Data Protection

[Kyaw_Myo_Oo]

Dear All,

CISA, the National Security Agency, the Federal Bureau of Investigation, and international partners released AI Data Security: Best Practices for Securing Data Used to Train & Operate AI Systems.

This guidance highlights the critical role of data security in ensuring the accuracy, integrity, and trustworthiness of AI outcomes. It outlines key risks that may arise from data security and integrity issues across all phases of the AI lifecycle, from development and testing to deployment and operation.

New Best Practices Guide for Securing AI Data Released

AI Data Security: Best Practices for Securing Data Used to Train & Operate AI Systems

Questions for discussion:

CISA's best practices likely cover various stages of the AI lifecycle. From your perspective, what is the most critical stage for implementing robust data security measures for AI, and why? (e.g., data collection, data preprocessing/labeling, model training, deployment, inference/operation).

It's always great to learn from each other, share experiences, and stay updated. Let's learn and explore together!