Continuously identify where data is overexposed, misused, or at risk, and take action before it becomes a breach. Data Sentinel quantifies your data risk in real time in dollars so you can prioritize remediation and demonstrate risk reduction to stakeholders.



of data is unstructured & vulnerable to breach
Avg. likelihood of a data breach in North America
Av.g cost of a data breach in North America
records are compromised ever second
Data risk is no longer a theoretical concern it is a measurable, financially quantifiable business liability. Every overexposed database, every misconfigured access control, every sensitive file shared beyond its intended audience represents a potential breach that could cost millions in fines, litigation, remediation, and reputational damage.
Data Sentinel’s Data Risk & Exposure Management solution provides continuous, automated visibility into where your data is at risk. The platform identifies overexposed sensitive data, misconfigured access patterns, policy violations, and compliance gaps across your entire data environment then calculates the real-time financial exposure using our proprietary risk algorithm.
Dynamic Data Masking
Data Sentinel can trigger dynamic data masking actions as sensitive data anomalies are discovered in structured and unstructured data. This is a user-defined rules based function that ensures sensitive data is obfuscated in near real time. Reduce risk immediately and ensure compliance with global data privacy standards.
Data Sentinel can leverage a number of masking techniques, depending on the policies and use cases that need to be addressed, examples are:
Data Quarantining
In addition to dynamically masking your noncompliant data, Data Sentinel can identify, and isolate specific records to a data quarantine. This ensures that no record that does not comply with your data management policies is left vulnerable.
This allows you to investigate the policy infraction and remedy the record as needed. A data subject matter expert will be notified when this occurs, allowing your organization to maintain compliance with policies and data privacy regulations.




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.
Continuous Risk Identification
Data Sentinel scans your entire data environment to identify instances of overexposure, unauthorized access, policy non-compliance, and sensitive data in high-risk locations. Risk discovery runs continuously, not as a point-in-time assessment.
Financial Risk Quantification
Understand the dollar value of your data exposure. Data Sentinel’s risk algorithm calculates financial exposure at the source, system, and enterprise level, factoring in data volume, sensitivity, applicable regulations, and penalty structures. Present risk in a language the boardroom understands.
Automated Risk Remediation
When data risk is identified, Data Sentinel triggers automated response workflows. Dynamic masking, encryption, quarantining, and access restriction can be applied immediately, reducing your exposure window from weeks to seconds.
Risk Trend Analysis & Reporting
Track how your data risk profile changes over time. Data Sentinel’s dashboards and reports show risk trends, remediation progress, and the financial impact of your data governance investments providing clear evidence for auditors, regulators, and executive stakeholders.
Policy-Driven Risk Management
Define risk policies tailored to your organization’s regulatory obligations and internal standards. Data Sentinel continuously measures your data against these policies and flags deviations the moment they occur.
Breach Simulation & Impact Modeling
Model the potential impact of a data breach across different systems and data sets. Understand which areas of your environment carry the highest risk and prioritize your remediation efforts accordingly.
Most organizations discover data risk after a breach, an audit finding, or a regulatory inquiry. By then, the damage is done. Data Sentinel shifts data risk management from a reactive exercise to a continuous, proactive discipline.
With real-time risk visibility, financial quantification, and automated remediation, you can identify and close exposure gaps before they are exploited and demonstrate measurable risk reduction to every stakeholder who needs to see it.
