As generative AI reshapes today’s businesses, IT executives at companies have a pressing problem: how to roll out enterprise AI search and intelligence without compromising any corporate data. Though tools such as Glean enable companies to discover their data from different sources, the security team is concerned about data exposure, permissions issues, and compliance violations.
Addressing this challenge, enterprise data security pioneer Seclore announced a strategic partnership with enterprise AI platform leader Glean. The integration unifies Glean’s enterprise context graph with Seclore’s ARMOR Data Security Posture Management (DSPM) and Enterprise Digital Rights Management (EDRM) capabilities.
By writing persistent classifications and encryption controls directly onto source files, the joint solution ensures that sensitivity labels follow data wherever it travels—whether opened in native applications, shared externally, or surfaced through conversational AI.
The News: File-Level Persistent Encryption Meets Enterprise AI Search
The core technical achievement of the Seclore and Glean partnership is bridging enterprise-wide discovery with persistent, file-level execution. Traditionally, discovering sensitive data across thousands of SaaS applications and cloud repositories required months of standalone scanning projects.
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The joint solution leverages Glean’s pre-indexed enterprise graph to bootstrap Seclore’s classification engine, drastically accelerating coverage:
Bootstrapped Contextual Discovery: Uses Glean’s existing search index across corporate systems (Microsoft 365, Slack, Google Drive, Jira) to immediately identify and classify sensitive data without running duplicate discovery scans.
File-Level Persistent Metadata: Seclore ARMOR writes sensitivity labels directly onto source files. These labels persist independently of any platform or network boundary, ensuring controls hold even when downloaded or emailed.
Actionable EDRM Remediation: Once sensitive data, intellectual property, or personally identifiable information (PII) is flagged, Seclore automatically applies Enterprise Digital Rights Management (EDRM)—enforcing granular permissions on who can view, edit, print, or forward the document.
Automated Regulatory Mapping: Continuous mapping aligns document classifications with global privacy and compliance frameworks, including GDPR, HIPAA, and India’s DPDP Act.
Transforming the Cybersecurity and Data Security Posture Management (DSPM) Industry
The integration between Seclore and Glean signals a defining shift across the Cybersecurity, Data Security Posture Management (DSPM), and Enterprise AI markets.
The End of “Visibility-Only” Security Dashboards
For years, DSPM tools focused almost exclusively on discovery generating static dashboards that highlighted where sensitive data lived. However, alerting security teams to misconfigured files without offering automated, file-level protection created massive operational backlogs.
The Seclore – Glean alliance accelerates the industry’s move toward actionable DSPM. Security software vendors are no longer evaluated simply on their ability to find data; they must offer automated, persistent remediation that locks down files at the point of discovery.
Unlocking “High-Value” Restricted Repositories for Enterprise AI
Until now, CISOs in regulated sectors frequently restricted AI platforms from indexing high-stakes repositories such as legal contracts, M&A room documentation, HR records, and core financial models due to fears of over-permissioned access.
By embedding persistent, file-level rights management directly into the search ecosystem, Seclore and Glean remove this adoption barrier. Organizations can safely grant enterprise AI assistants access to restricted business data, knowing that file-level permissions hold firm regardless of how data is surfaced.
Broad Operational Impact on Enterprise Businesses
For regulated enterprises particularly in financial services, healthcare, legal, and government—adopting context-aware, persistent security delivers clear operational advantages:
De-Risking AI Scaling in Regulated Sectors
Using enterprise AI without having a proper way of managing how data stays persistent will not only open your company up to very high penalties from the regulators but also could ruin your brand and reputation, which will happen if a sensitive asset gets into wrong hands by mistake. When you use a persistant file-level EDRM it makes sure that the data access policy is going with the user and the asset at all times. This way, the risk officers will no longer worry about the expansion of the generative AI programs on an enterprise level.
Removing Governance burden from IT Security Teams
Security operations personnel routinely spend hundreds of hours manually checking file permissions across different cloud storage services. With the help of automation tools for discovery classification persistent encryption and one context-aware engine, you will be saving internal IT talent of the administrative burden – they will be able to work on the more challenging parts of threat management and at the same time maintain full compliance with the regulations.