AI-powered Data Loss Prevention (DLP) for Microsoft OneDrive
The Data Loss Prevention Challenges in OneDrive
Uncontrolled sensitive content
PII, PHI, PCI and credentials proliferate across documents, spreadsheets, and presentations with no visibility into which files contain exposed sensitive data or who has access to them.
Intelligent, automated policy enforcement.
Files containing sensitive data are frequently shared too broadly through accidentally public links, domain-wide access, or specific permissions to inappropriate users without proper oversight.
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Silent data exfiltration
Employees download sensitive files, transfer them to personal accounts, or share them with external domains - creating intellectual property risks that remain undetected until it's too late.
Key Benefits
AI-powered
Pre-trained LLM and Computer Vision models detect sensitive content with 95% precision - even identifying data within images, charts, and complex document types.
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Complete Data Lineage
Track suspicious file activities including downloads to unmanaged devices, transfers to personal accounts, or uploads to risky domains with full context about users, timing, and destination and all user actions in between.
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Comprehensive coverage
Address three critical use cases for OneDrive: eliminate sensitive data exposure, prevent inappropriate sharing of sensitive files, and stop unauthorized data exfiltration through any channel.
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Streamline Security Operations
Automatically detect and remediate inappropriate sharing of sensitive files - instantly restricting public links, limiting to owner access, or deleting documents based on content sensitivity. Block data exfiltration based on data lineage.
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Human Firewall
Coach support teams with immediate notifications when sensitive data is detected. Enable self-remediation options across various channels such as Teams, Slack, Email without disrupting customer interactions.
Loved by innovative security teams
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Schedule a live demo
Nightfall AI DLP for OneDrive
