Catch the leaver, not the workforce.
Risk is a handful of moments, not a thousand employees. PrismSek scores identities by the sensitive data they actually touch — and intervenes only when it matters.
The last two weeks are the riskiest.
Insider incidents cluster around role changes and departures — exactly where most programs are blind or too noisy to act.
Departure risk spikes
Most data theft happens between resignation and last day — when access still works and attention has moved on.
Access outlives the role
Stale permissions let people reach data their job stopped needing months ago — invisible until it moves.
Surveillance breeds noise
Monitoring everyone equally buries the one real signal under a thousand false positives — and erodes trust.
Watch the data, not the people.
Know what's crown-jewel
Classification tells you which files actually matter, so risk scoring starts from data value — not raw activity volume.
Data Classification →Baseline every identity
The AI analyst learns normal per person and per role — and flags only true deviations, with the evidence attached.
Autonomous SOC Analyst →Close the exit paths
Personal drives, webmail, USB, AI prompts — DLP blocks the moves that matter and coaches the honest mistakes.
Data Loss Prevention →See who's leaving with what — before they do.
Data-first insider risk: fewer false positives, faster containment, evidence for every action.