The Control Ledger — Page 2

Context and behavior now matter more than static rules in modern DLP.

Behavioral context detects insider threats that rule libraries cannot catch.

Behavioral ML catches insider threats by modeling risky sequences across systems and time.

Behavioral analysis and risk aggregation replace event-matching rules to cut false positives.

AI learns what normal looks like for each user, catching insider threats rules miss.

Ownership gaps and false confidence in legacy tools delay fixes while insider threats accelerate.

Audit your rules before migration or risk carrying the same dysfunction to your new platform.

Governance structures, not monitoring tools, make insider threat programs legally defensible.

Defense contractors must implement insider risk monitoring across six NIST control families.

Companies must disclose material breaches within four business days of determining materiality.