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Seclore and Glean: A New Era of Data Security

In a significant development for enterprises in regulated sectors, Seclore and Glean have announced a strategic partnership that aims to enhance data security through context-aware sensitivity classification and robust remediation controls. This integration is particularly relevant for industries like finance, healthcare, legal services, and government that require stringent data management practices.

The Collaboration

Seclore, a trusted name in enterprise data security intelligence, is integrating its ARMOR Data Security and Protection Management (DSPM) system with Glean's enterprise artificial intelligence platform. By leveraging Glean's contextual data, Seclore ARMOR enhances its sensitivity classification capabilities, providing organizations with a cohesive toolkit for data management. This integration directly labels source files with classifications that are persistent and easily interpretable by Glean, thus streamlining the process of identifying and mitigating risks associated with sensitive data.

Context-Aware Sensitivity Classification

One of the standout features of this integration is its emphasis on context-aware classification. Glean's Enterprise Graph plays a pivotal role by indexing data across an organization’s various systems. This mapping allows ARMOR DSPM to utilize document content and metadata for sensibly and accurately classifying data. The classification reflects how data is actually used within the enterprise, making it easier for organizations to comply with regulatory frameworks such as GDPR, HIPAA, and India’s DPDP Act. What sets this approach apart is the breadth of data coverage, eliminating the need for separate discovery processes on limited systems.

Actionable Remediation Toolkit

The integration does not stop at data classification; it also emphasizes actionable remediation. Once sensitive data is identified, the ARMOR toolkit enables organizations to implement protective measures. This includes electronic document and records management (EDRM) capabilities for file-level encryption and usage controls, adapting access based on the data's sensitivity and context. The embedded security measures travel with the file, ensuring consistent protection across users and platforms.

Glean users can take advantage of this toolkit to maintain governance even as files move between systems, thereby upholding the regulatory requirements specific to their industries.

Persistent Labels for Enhanced Control

A unique aspect of ARMOR DSPM is its ability to write classifications directly onto source files. These persistent labels follow the data through various indexing cycles, remaining intact regardless of the platform used to access the files. This ensures that anyone who opens the file—whether in its source application or through Glean’s platform—will see the same classification labels, streamlining compliance efforts and enhancing overall data governance initiatives.

Implications for Regulated Industries

With this collaboration, regulated organizations can expect to accelerate their AI capabilities while maintaining necessary security controls. The integration facilitates a quicker classification process across extensive datasets, allowing enterprises to effectively manage sensitive information. Furthermore, continuous mapping of regulatory frameworks provides clients with a defensible status concerning compliance across the breadth of data indexed by Glean.

Dr. Vishal Gauri, CEO of Seclore, highlights the importance of this partnership: “Glean has developed a sophisticated enterprise AI framework that indexes data across every system essential to an organization. The integration with ARMOR provides customers with a comprehensive sensitivity classification and protection system that adapts to the regulatory landscape.”
This partnership represents a significant shift for enterprises needing robust data security measures while navigating the complexities of AI adoption.

In conclusion, the collaboration between Seclore and Glean marks a transformative step in how enterprises handle sensitive data, providing them with the tools necessary to manage security proactively while embracing the advancements of AI technology. As businesses continue to evolve, this integration exemplifies the growing need for intelligent data management solutions that marry security with operational efficiency.