That number should scare you. Password rotation policies fail this way all the time. They are written, agreed upon, then quietly ignored. The result is a ticking breach waiting to happen. Attackers thrive on stale secrets. Once a password leaks, the clock starts, and without enforced rotation, the window for compromise is endless.
Password rotation policies exist to shorten that window. The challenge is making them real. Policies buried in PDFs are worthless. Enforcement has to be automatic, measurable, and resistant to human shortcuts. In many organizations, the lag between policy definition and implementation is measured in months. That’s too slow.
Small language models can change how teams design, audit, and enforce password rotation rules. Unlike giant models, they can run locally, plug directly into security workflows, and act without streaming sensitive data to the cloud. They can scan logs to detect stale credentials, match rotation dates across systems, and generate automatic prompts for resets before deadlines expire. When embedded into infrastructure, they can enforce credential hygiene as code, not as a suggestion.