Beyond Code Exploits: Red Teaming the New AI Attack Surface

Traditional cybersecurity methods focused on code exploits are inadequate for securing AI systems, which fail due to misuse, data leakage, and unexpected emergent behaviors. A new security paradigm must treat the model's behavior as the primary attack surface, not just the underlying software. This involves continuous adversarial red teaming, using techniques like prompt injection and jailbreaks to simulate real-world attacks. By mapping threats to a risk matrix and using standardized scoring systems like OWASP AIVSS, organizations can proactively manage AI vulnerabilities. This continuous process of testing and evaluation is essential for measuring residual risk and preventing incidents before they occur.