This article critiques traditional policy-based data loss prevention (DLP) methods, arguing they can't adapt to the complexity of modern data. It introduces ORION, a solution that uses AI agents to provide context-aware detection of data exfiltration incidents, improving accuracy and reducing false positives. ORION learns organizational data patterns and integrates various data sources for comprehensive protection.