NSA and CISA Release Crucial Guidance for Securing AI Data Integrity
AHA
|
Contributed by: Kate Gamble
Summary
On May 22, the NSA and CISA, in collaboration with international partners, issued guidance aimed at securing data in AI and machine learning systems, highlighting the importance of data integrity. The guidance outlines potential risks at various stages of AI use, focusing on three main data security concerns: the data supply chain, maliciously modified data, and data drift. John Riggi from the AHA emphasized the guidance's significance for healthcare leaders, detailing methodologies for ensuring data security, such as sourcing reliable datasets and utilizing tools like encryption and digital signatures. This resource aims to help organizations address vulnerabilities and enhance AI data security protocols.
