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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.
The article appears to be corrupted or contains unreadable content, making it impossible to extract coherent information or insights. As a result, no meaningful summary can be provided based on the available text.