Data Retention & Minimization

Automatically identify redundant, outdated, and non-compliant data and enforce retention policies across your environment.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.

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Data Retention & Minimization

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 Redundant copies, outdated records, expired documents, and trivial files accumulate across servers, cloud storage, and archives consuming storage budgets, increasing breach risk,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 The platform scans your entire data environment structured, unstructured, and semi-structured to detect redundant, outdated, and trivial (ROT) data, expired retention periods, and data that no longer serves a lawful processing purpose.

Deep data discovery

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: 

  • Discover all data, at scale
  • Maintain your inventory with persistent scanning/delta detection
  • Integrate with your existing data catalog technology

sensitive data management software
sensitive data management software
sensitive data management software
sensitive data management software

Frequently asked questions

What is a data trust platform?
How do you prepare data for AI safely?
What is AI data governance and why does it matter?
How is Data Sentinel different from traditional data governance tools?
Does Data Sentinel move or store our data externally?
How does Data Sentinel help with data privacy compliance (GDPR, CCPA, HIPAA)?
What is data discovery and classification?
How do you reduce data risk and exposure across enterprise systems?
  • What is ROT data? ROT stands for Redundant, Outdated, and Trivial data. Redundant data includes duplicates and near-duplicates. Outdated data includes records that have expired, been superseded, or are no longer current. Trivial data includes temporary files, orphaned records, and low-value content that serves no business or regulatory purpose.
  • How does Data Sentinel identify data that should be deleted or archived? Data Sentinel scans your data environment and evaluates each data asset against your defined retention policies. Policies can be based on data age, type, sensitivity, regulatory requirements, business purpose, and department ownership. Data that has exceeded its retention period or matches ROT criteria is flagged for action.
  • What is defensible deletion? Defensible deletion means deleting data in a way that is policy-based, documented, and legally supportable. Data Sentinel logs every deletion with the policy justification, timestamp, and data details, creating an audit trail that can withstand regulatory scrutiny and litigation challenges.
  • Can Data Sentinel enforce retention policies across both cloud and on-premises systems? Yes. Data Sentinel connects to over 250 data source types across cloud, on-premises, and hybrid environments. Retention policies are enforced consistently regardless of where the data resides, ensuring uniform compliance across your entire data landscape.
  • How much can we save on storage costs? Savings vary by organization, but enterprises with large unmanaged data environments typically find that 30% to 50% of their stored data qualifies as ROT. Eliminating this data can produce significant and measurable reductions in storage costs, particularly in cloud environments where storage is metered.
  • Does Data Sentinel respect litigation holds and legal preservation requirements? Yes. Data Sentinel’s retention management capabilities include support for litigation holds and legal preservation. Data under a hold is protected from deletion regardless of retention policy triggers, ensuring compliance with e-discovery and legal preservation obligations.

Less Data. Less Risk. Lower Costs.

The Business Case for Data Minimization

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.

How trustworthy is your data? Book a demo today to see how Data Sentinel can help you.

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About Data Sentinel

Protect, Comply, Govern, and Grow with Trusted Data
Data Sentinel helps enterprises turn fragmented, high-risk data into a trusted, controlled asset. Its unified platform combines data discovery, governance, privacy, and quality, giving organizations the visibility and control needed to reduce risk, meet compliance requirements, and safely deploy AI at scale.

Built to operate directly inside your environment, Data Sentinel ensures sensitive data never needs to be moved, delivering policy-driven enforcement, continuous monitoring, and true data control where it matters most.
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