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Netskope details One Data Lineage product

Source Decision Insights Coverage Published February 3, 2026 Companies 1
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53rd article in the last 90 days, one of 173 articles referencing Netskope. Previous coverage: Netskope introduces Netskope One Data Lineage (Feb 2026).

Companies mentioned

Best suited for

Seniority
EVP / SVP / VP / AVP
Job function
Chief Information Security Officer
Persona
Security Operations Leader
Buyer role
Decision Maker / Budget Holder
Decision stage
Which to buy
Adoption curve
Early Majority
Industry
Information Technology / Software & Services / IT Services / AI Infrastructure

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Netskope announced a One Data Lineage product that traces datasets across cloud, email, endpoints and apps, offering end-to-end visibility to help security teams investigate data movement and enforce policies.

Research Overview

Data lineage records the path a dataset takes from its origin through creation, transformation, transmission and use.

By mapping data flow across systems, lineage supplies contextual signals that clarify how and why data arrived at a particular location.

Product Update

Netskope described One Data Lineage as part of its Netskope One Data Security suite, linking alerts and events to dataset histories.

The product ingests existing event sources, including inline Cloud Access Security Broker (CASB) telemetry and endpoint data, to assemble a dataset-centric trail for investigations.

Technical Breakdown

The solution correlates activity across web, email, Software-as-a-Service (SaaS), endpoint, private applications and Infrastructure-as-a-Service (IaaS) to present a unified view of data interactions and movement.

Context from lineage—such as file origin, user and activity—can be applied to preventive controls alongside the vendor's Data Loss Prevention (DLP) engine, data discovery and Data Security Posture Management (DSPM) capabilities, and the blog cites more than 3,000 data identifiers and AI/ML techniques used in analysis.

Operational Impact

The vendor positions lineage to support investigations into insider activity, bulk downloads and transfers to personal apps by exposing earlier events that contribute to a final incident.

The blog also links lineage to compliance workflows for regulations such as General Data Protection Regulation (GDPR), Health Insurance Portability and Accountability Act (HIPAA) and California Consumer Privacy Act (CCPA), and describes platform consolidation as a route to reduce tool sprawl and associated costs.

Leadership Perspective

The blog frames data lineage as a component for securing AI-related applications, datasets and infrastructure, with use cases that include insider threats, data exfiltration and compliance validation.

The narrative ties lineage to policy enforcement and investigative efficiency rather than to standalone detection techniques.

The capability described aims to give security teams a continuous record of dataset movement and context for response; this Blog Signals brief is a fact-based summary of the vendor blog.

Blog post, originally published by Ankur Chadda at netskope.com.

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