Orionsec provides an AI‑driven data loss prevention platform that replaces static policies with context‑aware agents capable of continuously learning an organization’s data movement patterns. By aggregating lineage, classification, and usage metadata across endpoints, SaaS, cloud, email, and storage, its machine‑learning models deliver real‑time intent detection, reduce false positives, and surface actionable risk scores for enterprise security teams.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional policy‑based data loss prevention (DLP) relies on static rules that cannot keep up with the scale, complexity, and evolving tactics of modern data exfiltration, leading to high false‑positive rates, missed incidents, and constant rule maintenance.
Solution
Orion replaces static policies with AI‑driven, context‑aware agents that continuously learn an organization’s data movement patterns. Its proprietary agents collect lineage, classification, and usage metadata across endpoints, SaaS applications, cloud services, email, and storage, then apply machine‑learning models to detect intent‑based data loss indicators in real time. The platform surfaces concise risk scores and actionable alerts, enabling security teams to prevent leaks from day one of deployment. By integrating data classification, sensitivity tagging, and automated lineage mapping, Orion reduces false positives, lowers operational overhead, and provides a unified DLP solution that adapts as business processes and threat landscapes evolve.
Target Audience
Orion is aimed at enterprise security and compliance teams that need comprehensive, low‑maintenance DLP across heterogeneous environments, including large corporations, regulated industries, and organizations adopting AI‑driven workflows.
Features
- AI‑powered agents that ingest structured and unstructured data, classify sensitivity (PCI, PII, HIPAA, secrets, code, etc.), and generate content summaries
- Continuous data lineage mapping that tracks source, action, and destination to establish baseline behavior and flag deviations
- Real‑time intent detection across endpoints, SaaS, cloud, email, on‑prem, storage, print, and other environments
- Automated reduction of false positives through contextual analysis and adaptive learning of organizational data flows
- Unified dashboard delivering risk scores, incident timelines, and remediation guidance without requiring separate tools
- Seamless integration with existing security stacks via APIs and support for hybrid deployment models