Discover, classify, and govern unstructured data across documents, emails, and files — where the majority of sensitive data resides. Extend visibility and control to eliminate blind spots and reduce compliance risk in the fastest-growing segment of enterprise data.



of enterprise data is unstructured and growing rapidly.
Continuous governance with automated policy enforcement.
De-duplication, archiving, and defensible deletion at scale.
AI-powered classification for documents, emails, PDFs, images, and more.
Unstructured data emails, documents, PDFs, images, chat logs, presentations, spreadsheets, and multimedia files. Accounts for over 80% of enterprise data and is growing at an exponential rate. Yet most of it remains invisible to governance programs, creating a vast blind spot filled with hidden sensitive data, compliance violations, redundant files, and security risks.
Data Sentinel’s Unstructured Data Governance solution brings order to the chaos. Our AI-powered platform discovers, classifies, and governs unstructured data across enterprise systems, cloud environments, and on-premises repositories giving you the same depth of visibility and control over unstructured data that you expect from your structured data governance programs.
Volume & Sprawl: 80% of enterprise data is unstructured and growing at an exponential rate.
Data Sentinel’s classification and labelling engine isn’t just fast, it’s blazing fast. Built for modern enterprise scale, our platform can scan, analyze, and categorize billions of records across structured and unstructured sources in near real-time.




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.
Discover, Map & Understand
Automatically scan, identify, and map unstructured data across all systems and repositories. Data Sentinel’s Document Intelligence goes deeper; understanding file context, extracting metadata, and surfacing hidden relationships between documents for a 360-degree view.
Classify, Analyze & Assess Risk
Go beyond keywords and labels. Our AI-powered classification reads and interprets content like a human, detecting sensitive data while identifying document type, lineage, and business relevance. Real-time risk scoring highlights data that impacts compliance, security, and operational accuracy.
Cleanse, Optimize & Remediate
De-duplicate and consolidate to reduce storage and complexity. Archive intelligently so high-value data remains accessible. Defensibly delete unnecessary, expired, or high-risk files. Improve data quality by flagging outdated or inconsistent content before it contaminates analytics or AI models.
Govern, Automate & Continuously Monitor
Implement dynamic retention rules, data lifecycle policies, and role-based access controls. With continuous monitoring and automated policy enforcement, your unstructured data stays compliant and secure without manual intervention.
Blazing-Fast Classification at Enterprise Scale
Data Sentinel’s classification engine is built for modern enterprise scale. Scan, analyze, and categorize billions of records across structured and unstructured sources in near real time. Models continuously improve as they process more data.
Rich, Actionable Labels & Compliance Tags
Assign contextual labels that capture not just what a file contains, but why it matters retention category, regulatory impact, AI readiness. Automatically apply privacy, security, and retention labels mapped to GDPR, HIPAA, CCPA, and industry frameworks
Without governance, unstructured data is a hidden liability fueling compliance violations, security exposures, rising storage costs, and poor AI outcomes. With Data Sentinel, unstructured data becomes a managed, governed, and trusted business asset that drives value instead of risk.
