“Momentum gave our security team a single fleet risk view instead of three disconnected tools — and caught a non-compliant laptop before it became an incident.”

IT deployed agents across the security team's laptops and the wider engineering fleet through existing MDM. Every device queued in Machines as Pending, and the rollout doubled as the moment to retire a spreadsheet-based asset registry that hadn't been trustworthy in over a year.

Two untouched weeks of Endpoint Security data established the real fleet risk picture — encryption gaps, patch levels, and antivirus coverage the old MDM dashboard had been quietly under-reporting. AI Adoption analytics ran in parallel, surfacing which teams had already gone around IT to use their own AI tools.

Anomaly Detection rules were built around what security actually cared about — flagged data transfers to unrecognised destinations, agents gone silent for more than twelve hours, and after-hours spikes by department. App Policies classified the shadow-IT AI tools the adoption data had surfaced, instead of banning them outright.

Fleet compliance climbed as the risk-ranked device list gave IT one queue to work from instead of three disconnected tools. The security team now opens its Monday review from the Device risk vs. productivity panel, and the first flagged data transfer was caught and resolved before it left the building.