DLP Policy Optimizer uses AI to analyze your organization’s DLP policies, rule structure, and activity signals to identify optimization opportunities that are difficult to detect manually. It highlights overlapping rules, redundant conditions, misconfigurations, and sources of excessive noise, and presents prioritized recommendations with supporting evidence and suggested actions. This enables you to reduce false positives and alert noise, improve policy precision, and simplify policy management with confidence.
GA date: September CY2026January CY2027
Preview date: AugustDecember CY2026