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Gestión de retención de datos

Retain What Matters. Delete What Doesn’t.

BigID helps organizations automate data retention by discovering sensitive data, classifying records, identifying redundant and obsolete data, enforcing policies, supporting legal holds, and enabling defensible deletion.

Reduce privacy risk, security exposure, storage cost, and AI data quality issues with data-aware retention across cloud, SaaS, hybrid, on-prem, and AI-connected environments.

GDPRCCPAHIPAAAutoridad Reguladora de la Industria FinancieraSOXROT DataLegal HoldMinimización de datosDefensible DeletionPreparación para la IARetention PoliciesAudit Trails

What Is Data Retention Management?

Govern data across its full lifecycle.

Data retention management is the process of deciding what data to keep, how long to keep it, when to preserve it, and when to delete it. BigID makes retention data-aware by connecting policies to discovery, classification, sensitivity, ownership, legal holds, ROT analysis, and deletion workflows.

01

Descubra

Find structured, unstructured, cloud, SaaS, hybrid, on-prem, and AI-connected data.

02

Clasificar

Understand data sensitivity, record type, business context, regulation, and retention requirements.

03

Hacer cumplir

Apply policy-based retention, minimization, legal hold, quarantine, deletion, and remediation workflows.

04

Probar

Maintain audit trails, action history, policy evidence, deletion proof, and defensible reports.

Why BigID: Traditional Retention vs. Data-Aware Retention

Modern Data Retention Starts Where Static Policies End

Traditional retention programs depend on static schedules, manual reviews, and incomplete inventories. BigID connects retention to real data intelligence so teams can retain what is required, preserve what is on hold, and defensibly delete what no longer serves the business.

Static Schedules
Policies are written once and applied inconsistently across disconnected systems.
BigID applies retention based on data discovery, classification, record type, location, sensitivity, ownership, and business rules.
Manual ROT Cleanup
Redundant, obsolete, and trivial data is hard to find and even harder to remove defensibly.
BigID helps identify ROT, stale, over-retained, duplicate, and expired data so teams can reduce unnecessary risk and cost.
Folder-Based Rules
Retention is often based on where files live instead of what data actually contains.
BigID uses data content, metadata, sensitivity, regulation, and business context to drive smarter retention decisions.
Disconnected Legal Holds
Preservation workflows can be separated from retention, deletion, and data discovery.
BigID helps teams preserve data under legal hold while continuing to enforce retention and deletion where appropriate.
Manual Deletion
Expired data is reviewed manually, leaving teams exposed to over-retention and audit gaps.
BigID supports policy-driven deletion workflows, deletion at the source, remediation routing, and defensible evidence.

Capacidades clave

Automate every stage of the retention lifecycle.

BigID gives teams the discovery, classification, policy, workflow, and deletion capabilities needed to operationalize retention at enterprise scale.

Discover Data

Find structured, unstructured, cloud, SaaS, on-prem, and AI-connected data across the enterprise.

Classify Content

Identify sensitive data, personal information, regulated records, business context, and retention-relevant metadata.

Apply Retention Policies

Enforce retention schedules using classification, metadata, ownership, location, record type, and business rules.

Identify ROT

Surface redundant, obsolete, trivial, stale, duplicate, and over-retained data that creates cost and risk.

Manage Legal Holds

Preserve data involved in investigations, litigation, regulatory action, and legal review while maintaining governance.

Defensible Deletion

Delete expired and unnecessary data through controlled workflows, policy enforcement, and audit-ready evidence.

Retention for AI Readiness

Clean up the data AI should not use.

Over-retained, duplicated, outdated, and sensitive data can weaken AI outcomes and increase exposure. BigID helps organizations improve AI readiness by reducing unnecessary data, governing training content, and enforcing retention rules before data reaches AI systems.

Outdated Content
01
Identify stale and expired information that can pollute analytics, search, RAG, model inputs, and AI outputs.
Duplicate Data
02
Reduce redundant and duplicate data that increases storage cost, creates confusion, and weakens data quality.
Sensitive Exposure
03
Find sensitive, regulated, confidential, and proprietary data that should be minimized, governed, or excluded from AI workflows.
Trusted AI Data
04
Create cleaner, governed, better-contextualized data for analytics, AI training, RAG, and enterprise AI initiatives.

Retention Outcomes

Reduce risk. Lower data cost.

BigID helps security, privacy, legal, compliance, IT, and data teams enforce retention consistently while improving cyber resilience, privacy compliance, AI readiness, and data quality.

Reduce exposure

Minimize the amount of sensitive, regulated, and high-value data retained beyond business or legal need.

Lower storage costs

Identify and remove unnecessary data that increases cost across cloud, SaaS, file shares, and legacy systems.

Support compliance

Map retention policies to regulations, business rules, legal obligations, and audit-ready evidence.

Improve AI readiness

Reduce obsolete, duplicative, and risky data before it feeds analytics, RAG, training, or AI workflows.

Continúa explorando

Strengthen Data Lifecycle Gobernancia.

Explore related BigID solutions and resources to connect retention with deletion, data minimization, privacy compliance, and data lifecycle management.

Preguntas frecuentes

Data Retention, Explicado

Learn how BigID helps organizations automate retention, enforce policies, identify ROT data, manage legal holds, and support defensible deletion.

What is data retention management?
Data retention management is the process of defining, enforcing, and documenting how long data should be kept, when it should be preserved, and when it should be deleted.
Why are retention policies important?
Retention policies help organizations reduce risk, lower storage costs, meet legal and regulatory obligations, minimize unnecessary data, and support defensible deletion.
What is defensible deletion?
Defensible deletion is the controlled removal of data that is no longer required, supported by policy, approval, audit trails, and evidence that the deletion was appropriate.
How does BigID automate data retention?
BigID automates retention by discovering data, classifying content, applying policies, identifying violations, routing workflows, supporting legal holds, and enabling deletion at the source.
How does BigID identify ROT data?
BigID helps identify redundant, obsolete, trivial, stale, duplicate, expired, and over-retained data using discovery, classification, metadata, policy context, and business rules.
Can BigID enforce retention across cloud and SaaS?
Yes. BigID supports retention and deletion workflows across cloud, SaaS, hybrid, on-prem, structured, and unstructured environments.
How does BigID support legal holds?
BigID helps teams preserve data under legal hold while continuing to enforce retention, deletion, and minimization policies for data not subject to preservation.
How does retention improve AI readiness?
Retention improves AI readiness by reducing obsolete, duplicate, risky, and unnecessary data that can pollute AI outputs, increase exposure, and weaken data quality.

Retención de datos de BigID

Keep the Right Data. Eliminate the Rest.

BigID helps organizations automate retention, reduce data risk, eliminate ROT, enforce policy, manage legal holds, and defensibly delete expired information across every enterprise environment.

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