RecordPoint

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What is RecordPoint?

The RecordPoint Data Trust platform helps regulated organizations manage records and data throughout their lifecycle. The customizable platform is comprised of records management and data lineage tools with audit trails from creation to disposal to demonstrate compliance.

Categories & Use Cases

Media

Screenshot of the RecordPoint Data Trust platform's connector framework, which allows for connection of business systems for a comprehensive data inventory. All data passes from these connected sources through its intelligence engine, which detects signals like data size, type, location, metadata, sensitivity; and then it’s de-duped, inventoried and classified.

Screenshot of RecordPoint's Intelligence Signaling feature, used to automatically detect private information at risk across data inventory. Managed content sources are crawled for privacy signals both Personally Identifiable Information (PII) and Payment Card Industry (PCI) data, which is then applied to the metadata to ensure consistency regardless of the system origin.

Screenshot of the Classification Intelligence feature that automatically categorizes data based on an organization’s policies faster than any human. Classification Intelligence features allow users to build Machine Learning (ML) models based on the organization's taxonomy to ensure accurate data categorization.

Screenshot of the data minimization features that allow for defensible disposal including retention schedules and disposal approval workflows. As records become eligible for disposal, the RecordPoint platform will triage these records into a defined disposal management process that ensures the right people have the visibility and control to review and approve destruction before it occurs.

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Screenshot of the RecordPoint Data Trust platform's connector framework, which allows for connection of business systems for a comprehensive data inventory. All data passes from these connected sources through its intelligence engine, which detects signals like data size, type, location, metadata, sensitivity; and then it’s de-duped, inventoried and classified.