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Improve DLP and Governance Without the Effort

AI-Powered Data Labeling Automates DDC, Reduces Costs, and Improves Security.

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Effortlessly Label Sensitive Data

Knostic analyzes how data is used and accessed, then applies accurate sensitivity labels automatically.

Prioritize High-Value and High-Risk Data

Accelerate protection where risk is highest. Knostic targets the most critical datasets: PII, secrets, and regulated records. 

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Make Existing Data Protection Tools Work Harder

Knostic enhances Microsoft Purview and DLP platforms by feeding them accurate labels and sensitivity insights, cutting deployment time from months to weeks.

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Key Capabilities

Automated Sensitivity Labeling

Apply accurate labels based on real-world usage and access patterns

Risk-Based Targeting

Prioritize critical datasets such as PII, secrets, and regulated records

Integration with Existing Tools

Enhance Purview, DLP, and DSPM platforms with accurate labels and actionable insights

Continuous Updates

Keep labels aligned as data and permissions change over time

Compliance-Ready Reporting

Provide clear audit trails to demonstrate governance and regulatory coverage

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Frequently Asked Questions

Because it’s too slow and broad. Most programs stall after labeling a fraction of data, leaving sensitive content unprotected.

By analyzing usage and access patterns to identify high-value datasets, ensuring labels go where they reduce risk most effectively.

No. Knostic enhances those tools by supplying accurate, risk-based labels so they can enforce policies effectively.

Consistent, context-aware labeling makes it easier to prove sensitive data is governed, simplifying audit reporting and regulatory readiness.

Meaningful coverage is achieved in weeks, not months, thanks to automation and prioritization by risk.

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What’s next?

Want to accelerate data labeling and strengthen governance?
Let's talk.

Knostic applies sensitivity labels based on real usage and risk, accelerating governance programs and making existing DLP tools more effective.