Automatically identify redundant, outdated, and non-compliant data and enforce retention policies across your environment. Reduce storage costs, minimize risk, and meet regulatory data retention requirements with continuous enforcement.



Automated ROT (redundant, outdated, trivial) data identification
Policy-driven retention enforcement across all systems
Defensible deletion and intelligent archiving
Continuous monitoring for retention policy compliance
Organizations are drowning in data they no longer need. Redundant copies, outdated records, expired documents, and trivial files accumulate across servers, cloud storage, and archives consuming storage budgets, increasing breach risk, complicating compliance, and contaminating analytics and AI. Yet most organizations lack the visibility and automation to enforce retention policies consistently.
Data Sentinel’s Data Retention & Minimization solution automatically identifies data that should be archived, deleted, or flagged for review based on your defined retention policies. The platform scans your entire data environment structured, unstructured, and semi-structured to detect redundant, outdated, and trivial (ROT) data, expired retention periods, and data that no longer serves a lawful processing purpose.
Inventory your data in a fraction of the time compared to other technologies. Using our deep discovery engines, you can conduct a complete inventory of all data assets within your organization – regardless of the type and location.
Data Sentinel is open and extensive, with the ability to publish a complete inventory within it. It can also be exported into various files types. Or natively integrate with your existing data management infrastructure, seamlessly aligning with your current systems.
With Data Sentinel you can get a much more thorough picture of your company’s data — including the ability to:




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 ROT Analysis
Data Sentinel scans your environment to identify redundant (duplicate or near-duplicate), outdated (stale, expired, or superseded), and trivial (low-value, temporary, or orphaned) data. The platform provides detailed ROT reports so you know exactly what can be safely removed.
Policy-Driven Retention Enforcement
Define retention policies based on data type, sensitivity, regulatory requirements, business purpose, and department ownership. Data Sentinel continuously enforces these policies, flagging data that has exceeded its retention period and triggering the appropriate action.
Defensible Deletion
Delete data confidently with full audit trails. Data Sentinel’s defensible deletion capabilities ensure that every deletion is policy-based, documented, and compliant; providing the evidence you need for regulatory inquiries and litigation holds.
Intelligent Archiving
Not all old data should be deleted. Data Sentinel distinguishes between data that should be archived for long-term retention and data that should be removed entirely. High-value data remains accessible while unnecessary data is eliminated.
Storage Cost Optimization
Quantify the storage costs associated with ROT data and track savings as you minimize your data footprint. Data Sentinel provides clear metrics showing the financial impact of your retention and minimization efforts.
Continuous Retention Monitoring
Data retention is not a one-time cleanup. Data Sentinel continuously monitors your environment for new data that triggers retention policies, ensuring your data footprint stays optimized over time.
Data minimization is not just a regulatory requirement it is a business imperative. Every unnecessary data record increases your storage costs, expands your attack surface, complicates compliance, and degrades the quality of your analytics and AI. By systematically reducing your data to only what is needed, you reduce risk, save money, and improve the integrity of the data that drives your business decisions.
Data Sentinel makes data minimization achievable at enterprise scale automatically, continuously, and with the policy controls and audit trails that compliance teams require.
