AI-driven vulnerability detection demands stronger cyber resilience, coordinated monitoring, and controlled mitigation across regulated entities. Emerging AI-driven vulnerability detection tools may increase cybersecurity risk by enabling rapid identification and possible exploitation of vulnerabilities, while also raising concerns relating to data confidentiality, application integrity and reliability of outputs. A coordinated vulnerability management approach is therefore required, with information sharing and monitoring across regulated entities to prevent cascading impact. The advisory directs regulated entities to strengthen cyber resilience through immediate patching or virtual patching, regular vulnerability assessment and security audits, structured change management, stronger API security, enhanced SOC monitoring, periodic risk assessment, system hardening, updated asset inventory and consultation for longer-term AI usage and autonomous mitigation.