Tool Overview:
Data Sentinel

About Data Sentinel

Data Sentinel functions as a data trust and compliance platform designed to help organizations manage their data privacy compliance, governance, and quality requirements in real time. The platform employs deep learning discovery technology to analyze data across an organization's systems, providing continuous monitoring and remediation capabilities to maintain compliance with evolving privacy regulations.

What does Data Sentinel do?

The platform's core functionality centers on discovering, classifying, and tracking sensitive data assets across structured, unstructured, and semi-structured formats in both cloud and on-premises environments. It employs proprietary deep learning technology to scan and analyze data sources, achieving a reported 98.5% accuracy rate in data classification. The system monitors data usage in near real-time, triggering alerts when it detects non-policy compliant data placement or usage.

Data Sentinel calculates financial risk values for data assets using industry-standard metrics, enabling organizations to quantify their risk exposure at both the source and system levels. The platform includes automated remediation capabilities, implementing actions such as dynamic data masking and quarantine procedures when it discovers policy violations. These remediation processes help organizations address compliance requirements for regulations including GDPR, CCPA, CPPA, PCI DSS, and HIPAA.

The platform provides automated data mapping capabilities that track the flow of sensitive information throughout an organization's systems. This mapping functionality helps companies understand where personal data resides, who has access to it, and how it moves between systems, including third-party environments. The platform maintains detailed records of data lineage and processing activities to support compliance documentation requirements.

What makes Data Sentinel different?

A distinguishing aspect of Data Sentinel is its architecture, which has been designed to handle large and complex data holdings. The platform utilizes a distributed architecture with GPU-enabled core engines, allowing for horizontal and vertical scaling. This architecture enables the platform to process and analyze substantial data volumes while maintaining performance.

The platform's classification engine can be customized to recognize organization-specific sensitive data types beyond standard categories like PII, PCI, and PHI. This customization extends to risk rating engines, data quality rules, and governance policies, allowing organizations to align the platform with their specific compliance and security requirements.

Use cases and industries

Data Sentinel serves multiple use cases including pre-acquisition data audits, privacy impact assessments, and ongoing compliance monitoring. The platform supports privacy program development by providing automated data discovery and classification capabilities that help organizations baseline their compliance with various privacy regulations.

The platform integrates with enterprise GRC (Governance, Risk, and Compliance) platforms to incorporate sensitive data risk metrics into broader organizational risk assessments. It provides workflow capabilities for managing Data Subject Access Requests (DSARs) and maintains records of processing activities (ROPA) to support privacy compliance requirements.

Data Sentinel offers both technology solutions and managed services, with the latter including implementation and ongoing program management with defined service level agreements. The platform can be deployed in cloud, on-premises, or hybrid environments, supporting organizations across various sectors that need to maintain compliance while managing complex data environments.