Every module runs on the same classification core and shares one policy language, so a detection in Slack means the same thing as a detection in Snowflake.

Find

Data Discovery

Scan SaaS, cloud stores, warehouses, repos, and endpoints to locate sensitive data wherever it lives, including the places nobody remembers creating.

Learn more →Label

Data Classification

AI-native classification that reads context, not just patterns, and labels data in real time.

Learn more →Trace

Data Lineage

Follow sensitive data from origin through every copy, transformation, and AI pipeline.

Learn more →Stop

Data Loss Prevention

Policy-driven prevention that redacts, blocks, or coaches inline before data leaves.

Learn more →Posture

DSPM

A continuously updated map of where sensitive data is exposed: stale shares, over-permissive access, unencrypted stores, and risky flows, ranked by blast radius.

Learn more →Govern

AI Security

Visibility and control over prompts, copilots, RAG pipelines, and vector stores.

Learn more →

From first byte to final block

Data enters as noise and leaves as controlled, classified, traceable flows.

Discover

Connectors sweep every environment and inventory sensitive data continuously.

Classify

AI models label data by type, sensitivity, and regulation in about 180ms.

Trace

Lineage graphs connect every copy and flow back to its origin and owner.

Enforce

Policies act inline: redact, block, quarantine, or coach the user in the moment.

Start from the problem, not the product

Security teams rarely shop for acronyms. They come with a risk that needs to disappear.

Shadow AISee unsanctioned AI use Insider RiskCatch exfiltration early AI SecurityAdopt GenAI safely Cloud Data SecuritySecure every cloud store ComplianceProve control of regulated data Data MinimizationShrink the sensitive footprint Secure AI Data PipelineClean data in, safe models out

99.2%

detection precision across data types

~180ms

p95 classification latency

100B+

data elements scanned monthly

90%

of incidents auto-remediated

Prefer to see it as light?

The PrismSek story, told as a scroll-driven film: one beam of data, refracted into everything hiding inside it.

Enter the experience

“We turned on the Slack and GitHub connectors on a Tuesday. By Thursday we had retired two legacy DLP tools and an entire triage queue.”

Priya Raghunathan· CISO, Meridian Trust Bank

70%

fewer false positives

3 days

to first policy in production

See your data in full spectrum.

Walk through PrismSek with a security engineer on your own environments and policies.

Request a demo Explore the platform