Kinetic Classification

Combine multi-cloud scanning with contextual discovery and analysis to eliminate noisy alerts, focus on real risks, and build a strong foundation for compliant, AI-ready data.  

• Unified risk and sensitivity detections across Microsoft 365, Google Workspace, Salesforce, AWS S3, Box, Jira, Confluence, Docusign, and Monday.com.
• Define and detect what risk means specifically to your organization—unconstrained by native labels—with Custom Sensitive Information Types (SITs).
• Focus on real threats instead of false positives with confidence scores that cut through the noise.
• Enrich data with usage, access, and business context to determine what to retain, archive, and dispose of.

Turn data classification into a dynamic security posture that continuously informs how information is protected, governed, retained, and exposed to AI.

• Continuously evaluate data risk, sensitivity, access, and business context to keep classification aligned with the way information changes over time.
• Apply rich metadata and classification signals that can drive downstream actions—from protection and governance to retention, archiving, and disposition.
• Reduce AI exposure and security risk by ensuring sensitive, outdated, and high-risk content is governed differently throughout its lifecycle instead of being retained indefinitely.

Turn classification from a never-ending headache into a reality. Reduce manual burden, drive consistency, and bring internal alignment.  

• Leverage natural language AI tools for customized regex codes.
• Define your detection logic once, then apply it consistently across every source you scan.
• Automate policy implementation for continuous data governance without slowing down the business.
• Engage data owners in renewals, metadata validation, and governance decisions—keeping classification accurate as data and business context change.

Up-to-date sensitivity and risk insights don't sit in a report. They help inform how your data is protected, recovered, retained, and managed, so decisions keep pace as your data changes.

• Prioritize backup and recovery by what's actually sensitive and business-critical, so you know what to protect first and can restore with confidence.
• Combine sensitivity with usage, access, and business context to decide what to retain, archive, or dispose of, and keep compliance in step as data changes.
• Govern sensitive, outdated, and high-risk content differently across its lifecycle instead of keeping it forever.