Avg. US Data Breach Cost
Cost Per Record Breached
Impact Of Reputation Damage
Improved Customer Retention
Sensitive data is your organization’s greatest asset and its greatest liability. Personal information, health records, financial data, trade secrets, and intellectual property are scattered across hundreds of systems, formats, and locations; and every unprotected instance represents regulatory exposure, financial risk, and reputational threat.
Data Sentinel’s Sensitive Data Classification & Management solution goes far beyond basic discovery. Our AI-powered engine classifies sensitive data with 98.5% accuracy, tags it with rich contextual metadata, and continuously monitors its movement and exposure across your entire data environment. You don’t just know what sensitive data you have you know where it is, who can access it, whether it’s within policy, and exactly what your financial exposure is if it were breached.
Data Sentinel’s proprietary risk algorithm calculates the real-time dollar value of your sensitive data risk at the source and system level, giving executives and data stewards a clear, quantifiable view of exposure. When sensitive data falls outside of policy, the platform triggers automated remediation actions; including dynamic masking, encryption, quarantining, and deletion to close gaps before they become incidents.
AI-Powered Sensitive Data Classification
Classify PII, PHI, PCI, trade secrets, intellectual property, HR data, and any custom sensitivity categories you define. Data Sentinel’s deep learning engine interprets data in context not just keywords delivering enterprise-grade accuracy at scale.
Continuous Monitoring & Alerting
Sensitive data doesn’t stay put. Data Sentinel continuously monitors data movement, access patterns, and policy compliance across all systems. When data moves outside of policy or new sensitive data appears, the platform alerts your data stewards and can initiate automated response.
Real-Time Financial Risk Scoring
Understand the dollar value of your data risk using Data Sentinel’s industry-first risk algorithm. Financial exposure is calculated at the data source and system level, measured against current applicable laws and regulations, and tracked over time to show the impact of your remediation strategies.
Cross-Format, Cross-Platform Coverage
Sensitive data hides everywhere in databases, spreadsheets, documents, emails, PDFs, images, and cloud storage. Data Sentinel scans structured, unstructured, and semi-structured data across cloud, on-premises, and hybrid environments.
Automated Policy Enforcement & Remediation
Define your data handling policies and let Data Sentinel enforce them automatically. When sensitive data is found outside of policy, the platform triggers remediation workflows including dynamic data masking, encryption, quarantining, or deletion reducing risk in near real time.
GRC Integration & Executive Reporting
Integrate Data Sentinel’s sensitive data risk intelligence directly into your enterprise GRC platform. Add a powerful new dimension of data-driven risk to your overall company risk profile, with dashboards and reports designed for board-level visibility.
Most organizations know they have sensitive data scattered across their systems. The challenge is knowing exactly what, exactly where, and exactly how exposed it is in real time, at scale, and with the granularity needed to take action.
Data Sentinel transforms sensitive data management from a manual, point-in-time exercise into a continuous, automated, and financially quantified discipline. Whether you’re preparing for an audit, responding to a regulatory inquiry, managing breach risk, or building a data-driven culture of trust, Data Sentinel gives you the intelligence and automation to protect what matters most.
Protect, Comply, Govern, and Grow with Trusted Data
Data Sentinel is a data trust and compliance platform that helps businesses continuously manage their data privacy compliance, governance, and quality in real time. Data Sentinel’s proprietary deep learning discovery technology illuminates the true nature of an organization’s data across all sources and systems, monitoring, measuring, and remediating the data to ensure compliance with company policies and evolving data management privacy regulations.
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