Frontier AI models are transforming the cybersecurity landscape by enabling attackers and defenders to identify vulnerabilities, develop exploits and respond to threats at machine speed. As governments and regulators increasingly warn about AI-enabled cyber risks, organizations are being urged to reassess whether their existing cybersecurity programs remain adequate for a rapidly evolving threat environment. Rather than requiring entirely new security frameworks, many of these expectations build on longstanding risk-based approaches and established cybersecurity fundamentals. In this guest article, Covington partner Caleb Skeath and associate Ali Cooper-Ponte examine guidance from regulators and cybersecurity agencies on addressing AI-related cybersecurity risks, explore how AI changes the compliance implications of more traditional cybersecurity controls, and discuss practical approaches organizations can take to evaluate and strengthen their cybersecurity posture to reduce legal and regulatory risk. See “Anthropic’s Mythos Model Forces Companies to Regroup for a New Cyber Era” (Apr. 22, 2026).