Get a complete, real-time view of your data across structured and unstructured sources, so you know exactly what exists, where it lives, and who owns it. Data Sentinel’s AI-powered discovery engine scans, inventories, and classifies your entire data landscape continuously and at enterprise scale.



Deep data discovery across all sources and formats
AI-powered classification with 98.5% accuracy
Real-time data inventory and cataloging
Continuous monitoring for new and changed data assets
Every data governance, privacy, and compliance initiative begins with the same fundamental question: what data do we have, where is it, and what does it contain? Without a clear, accurate, and continuously updated inventory of your data assets, every downstream effort from regulatory compliance to AI adoption is built on guesswork.
Data Sentinel’s Data Discovery, Inventory & Classification solution automates the process of finding, cataloging, and classifying data across your entire environment. Whether your data lives in cloud platforms, on-premises databases, SaaS applications, file shares, or hybrid architectures, our proprietary deep learning engine discovers and maps it all structured, unstructured, and semi-structured with speed and precision that manual processes simply cannot match.




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.
Automated Deep Discovery
Scan and discover data across hundreds of source types databases, cloud storage, file systems, email servers, collaboration platforms, and more without manual configuration or custom connectors. Data Sentinel’s OneTouch scanning technology initiates comprehensive discovery at the push of a button.
Intelligent Data Classification
Go beyond simple keyword matching. Data Sentinel’s AI-powered classification engine interprets data in context, detecting sensitive information with entity-level precision. Classify PII, PHI, PCI, contracts, financial records, intellectual property, and any custom categories unique to your organization.
Real-Time Data Inventory & Cataloging
Maintain a living, continuously updated data catalog that reflects the true state of your data environment. Every asset is tagged, categorized, and enriched with metadata including data type, sensitivity level, ownership, lineage, and regulatory relevance.
Business Lineage & Data Flow Mapping
Understand how data flows across your organization, including third-party systems. Track data propagation, identify downstream dependencies, and visualize data movement with dynamic, interactive data maps.
Custom & Adaptive Classification
Your data is unique, and your classification framework should be too. Data Sentinel’s engine is fully customizable teach it to recognize industry-specific data types, proprietary categories, and organization-specific sensitivity labels that matter to your business.
Continuous Monitoring & Drift Detection
Data environments are never static. Data Sentinel continuously monitors for new data sources, changed data assets, classification drift, and policy deviations alerting you to changes in real time so your inventory is always current and accurate.
Regulatory frameworks like GDPR, CCPA, HIPAA, and PCI DSS all require organizations to maintain detailed records of their data holdings. AI governance mandates are adding new layers of accountability around what data is used to train and feed AI systems. Meanwhile, the explosive growth of unstructured data which now accounts for over 80% of enterprise data means that traditional data management approaches are no longer sufficient.
Data Sentinel gives you the foundation to address all of these challenges from a single platform, delivering the visibility and intelligence you need to protect your data, comply with regulations, govern effectively, and unlock data-driven growth.
