Red teaming enhances AI model security by identifying vulnerabilities in infrastructure and models exposed to open-source threats. It addresses risks like API exploitation, model extraction, and supply chain attacks by simulating real-world attacks. This proactive approach helps organizations mitigate risks, safeguard against model theft, and manage excessive agency in AI systems, ultimately strengthening their cybersecurity posture.
