"Every day, employees at large enterprises share sensitive files, email customer data, and upload documents to cloud services-activities that are essential to business, but also create constant risk. For more than two decades, security teams have relied on data loss prevention (DLP) software to control that risk. The result has been a paradox: as DLP tools proliferate, security teams spend more time managing alerts than preventing actual data leaks. Traditional DLP platforms depend on thousands of manually authored rules to define what constitutes risky behavior."
"Those policies require constant tuning as they generate floods of false positives, flagging routine business activity as potential threats. Over time, teams end up maintaining the system rather than trusting it. ORION Security takes a fundamentally different approach. By eliminating policies entirely, the company uses five proprietary AI agents to analyze every data movement in real time, capturing full business context - content sensitivity, data lineage, user behavior, and intent - to block only genuinely risky transfers."
Large enterprises routinely share sensitive files and upload documents to cloud services, creating constant data exposure risk. Legacy DLP relies on thousands of manually authored rules that generate floods of false positives, forcing security teams to spend more time maintaining policies than preventing leaks. ORION Security eliminates policies and uses five proprietary AI agents to analyze every data movement in real time, capturing content sensitivity, data lineage, user behavior, and intent to block only genuinely risky transfers. ORION reports a 96% reduction in false positives and rapid adoption by Fortune 500 customers. ORION raised a $32M Series A led by Norwest, bringing total funding to $38M.
Read at Alleywatch
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