Machine Learning (ML)-based systems have an intrinsic set of challenges, including cybersecurity, that need to be addressed during their development and specifically monitored during their deployment and use. CTA recently published a document that identifies methods for mitigating cybersecurity threats to and privacy concerns in ML-based systems by addressing the unique considerations of ML-related products (Mitigating Cybersecurity Threats in ML-Based Systems, CTA-2114).

For more information and to access the standard, visit Mitigating Cybersecurity Threats in ML-Based Systems.