Cybersecurity is undergoing a fundamental transformation as artificial intelligence becomes more prevalent in our systems. There are many ways in which AI is increasing risk, extending beyond third parties to affect all aspects of our security programs. For third-party risk management specifically, we are seeing these risks increase due to several factors.
Most importantly, vendors themselves are rapidly integrating AI into their products and services, introducing subtle vulnerabilities that may not be immediately apparent or well-understood.
Data-sharing risks inherent in AI systems are also a growing concern. Many vendors share or process sensitive data to train AI models, and poor security practices can expose this data to breaches.
Collectively, these threats represent a new dimension of software supply chain risk that calls for a more dynamic approach to security. With threats evolving at lightning speed, traditional annual security reviews are no longer sufficient to protect against these emerging AI risks.
Thoroughly Assessing Vendors
Vendor due diligence is critical to mitigating potential risk before you enter into any partnership…
