In the event of a data breach, quickly identify what data was exposed, where it resides, and who is impacted. Accelerate incident response, regulatory reporting, and remediation with precise data visibility when every minute counts.



Rapid identification of exposed data and impacted individuals
Automated breach impact assessment and scope analysis
Accelerated regulatory notification and reporting
Post-breach remediation and continuous monitoring
When a data breach occurs, the clock starts immediately. Regulators require notification within tight deadlines 72 hours under GDPR, 60 days under HIPAA, and even shorter under some state laws. Affected individuals must be notified. Executives and boards need answers. Remediation must begin. And all of this depends on one critical capability: knowing exactly what data was exposed, where it was, and who is impacted.
Most organizations cannot answer these questions quickly because they lack a comprehensive, current inventory of their sensitive data. Data Sentinel’s Data Breach Impact Analysis & Response solution changes this by giving you the data intelligence foundation that makes rapid, accurate breach response possible.




A data trust platform helps organizations ensure their data is accurate, governed, compliant, and safe to use—especially for AI, analytics, and regulatory reporting. It combines data discovery, governance, privacy, and quality into a unified system that enables organizations to trust and act on their data with confidence.
Preparing data for AI requires identifying sensitive data, validating data quality, and enforcing policies that control what data can be used for training and inference. Without these controls, organizations risk exposing sensitive data or introducing bias into AI models. Platforms like Data Sentinel ensure only trusted, compliant data enters AI systems.
AI data governance defines how data is selected, controlled, and monitored for AI use. It ensures that only approved, compliant, and high-quality data is used in AI models. This is critical for reducing bias, preventing data leakage, and meeting emerging AI regulations.
Traditional data governance tools focus on visibility and reporting. Data Sentinel goes further by enabling real-time control, policy enforcement, and automated remediation. It also operates directly in your environment (behind your firewall), ensuring sensitive data never needs to be moved or exposed.
No. Data Sentinel operates within your environment, meaning your data never leaves your systems. Unlike SaaS-based systems this approach improves security, supports regulatory requirements, and ensures you maintain full ownership and control over your data.
Data Sentinel automates the discovery, classification, and monitoring of sensitive data across your environment. It identifies compliance gaps, enforces policies, and enables continuous audit readiness to reduce the manual effort required to meet regulatory requirements.
Data discovery and classification is the process of identifying where data exists across your systems and labeling it based on sensitivity, type, and risk. This is foundational for governance, compliance, and AI readiness, as you cannot protect or control data you cannot see.
Reducing data risk requires continuous visibility into where data is overexposed, misused, or non-compliant combined with the ability to take action. Data Sentinel enables organizations to identify risks in real time and enforce policies that prevent misuse or breaches before they occur.
