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Qohash discovers, classifies, and remediates sensitive unstructured data without copying it, enforcing security and governance directly at the source
A new standard in data security
Analyze data in place and eliminate exposure from day one
The failing model
Pioneers of zero copy
Zero copy eliminates data movement by enforcing security directly where unstructured data lives. This is the only approach that scales to petabytes of unstructured data.
Case study
Learn why one of the world’s leading banks selected Qohash to establish a durable foundation for unstructured data security as AI adoption accelerates.
Sensitive unstructured data visible across all sources
Automated remediation dramatically reduced sensitive data exposure
Sensitive data limits enforced continuously through policy automation
The zero copy architecture delivers the scale, control, and economics enterprises require.
See it in action
Support your SI discovery through NL queries
Natively perform file actions like quarantine
Automate file actions, file tags, reports and more!
See where sensitive data elements have moved.
Find your riskiest data at element level.
Apply Purview labels to files within the platform.
Use case spotlight
Scenario: An enterprise has proven GenAI’s value in pilots but cannot scale deployment without visibility and control over sensitive data exposure.
Apply AI guardrails to ensure sensitive data never appears in prompts, file uploads, or unstructured data exposed to AI models.
Continuously discover, classify, label, and remediate sensitive unstructured data across all accessible data sources.
Give DLP tools the granular, data-level context they need to make accurate and enforceable decisions faster.
Enable your enterprise to leverage AI while maintaining complete visibility and control over sensitive data exposure.
Customer success
Trusted by security teams at leading organizations
Discover Qohash’s zero-copy data security. Schedule your demo today.