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.  

• 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 an active security control 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• Reduce AI exposure and security risk by ensuring sensitive, outdated, and high-risk content is governed differently throughout its lifecycle instead of being retained indefinitely.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, tailored prescriptive policy creation, and classification without pre-trained models.
• 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.

Your sensitive data never leaves your four walls, ensuring compliance with data residency and sovereignty mandates.

• Local collector architecture ensures that data scanning and classification happen directly within your own environment.
• When using Zero-Shot AI, document summaries and embeddings are generated ephemerally and are not stored long-term, meaning your content is never exposed to external services.
• Our classification workflows prioritize a human-in-the-loop approach, so humans stay accountable for approvals, exceptions, and validating AI-driven recommendations.