New Delhi: Seclore has introduced a new data intelligence framework aimed at giving enterprises clearer insight into how sensitive data is accessed, shared, and used across organizations.
The company announced the launch of its Data Security Intelligence Framework, a system designed to convert file-level security and classification data into structured intelligence that organizations can analyze using business intelligence tools such as Power BI. The move comes at a time when enterprises are dealing with rapid data growth, increased third-party collaboration, and the expanding use of AI-driven applications.
Industry analysts have repeatedly pointed to visibility gaps in enterprise data security. While many organizations track who accesses files, fewer have reliable insight into how data moves, how often it is shared externally, or where risk accumulates over time. Seclore’s framework focuses on addressing this gap by enabling the automated flow of security telemetry into analytics platforms, allowing teams to study patterns instead of isolated events.
According to Seclore, the framework structures raw activity logs into query-ready datasets that support long-term trend analysis and reporting. It includes predefined dashboards that focus on enterprise risk exposure, operational usage patterns, and third-party or supply-chain data sharing. Organizations can also export this data into external data lakes to combine it with business context such as department roles, project data, or vendor relationships.
The approach reflects a broader shift in cybersecurity toward data-driven decision-making. As enterprises adopt AI-powered tools and increase digital collaboration, security teams are under pressure to demonstrate policy effectiveness, measure compliance outcomes, and justify controls using evidence rather than assumptions.
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