In the wake of a GitHub Action compromise in March 2025, it became evident that merely rotating secrets is insufficient for robust security, as it fails to address the critical "window of exploitability" where secrets, once compromised, can be exploited before detection and response occur. The incident highlighted that even with strict rotation policies, secrets can be exposed in build logs or through AI assistants, allowing attackers to exploit them in real-time. To mitigate these risks, security-focused teams are advised to implement dynamic secrets, which are generated on demand and expire after use, and to monitor usage through logging and alerts, providing a more comprehensive approach to secrets management. Additionally, they should establish guardrails around sensitive systems, enforce strict access controls, and set clear policies for the use of AI tools to prevent inadvertent exposure of sensitive data. By prioritizing detection and real-time monitoring over rotation alone, organizations can effectively close the exploit gap and prevent breaches in an era of rapid AI-driven development.