Adopting AI requires managing company data securely and ensuring verifiable traceability, regardless of its origin, movement, or use. This is a significant challenge, but legacy tools, particularly DLP, struggle to correlate data activity across sources, users, and interactions, making it difficult for IT departments to gain the visibility needed to adequately protect that data.
Netskope One Data Lineage builds on Netskope's exceptional data security controls, enabling teams to track and visualize the movement of sensitive data across the organization through various source, movement, usage, and access scenarios, and providing visibility into when that data is disseminated or evolves. It offers the ability to establish policy controls that accompany data as it is extracted and reformatted into different file and document formats.
As a result, organizations gain:
• Unprecedented visibility and control: complete context of data provenance, from source to destination, across multiple users and systems, enabling detailed retrospective investigation following data exfiltration or improper internal access, as well as proactive safeguarding and enforcement of appropriate compliance measures for sensitive data.
• Protection against insider threats: tracking data movement and inappropriate behavior by individual users to establish intent, quickly identify emerging internal risks, investigate potential data loss incidents, and remediate unauthorized data movement.
• Optimal security policy and posture: obtaining a comprehensive historical timeline associated with the origin of documents and files, allowing IT and security teams to adjust and enforce data access policies to improve security posture.
“Companies need to understand in detail how data moves in the digital environment, as well as have the ability to prevent unauthorized access and use of that data and demonstrate compliance with increasingly stringent data protection regulations. This is especially important given the widespread adoption of AI agents and other such tools,” says Krishna Narayanaswamy, co-founder and CTO of Netskope. “As part of our industry-leading platform, Netskope One Data Lineage ensures that unified data security will support, rather than hinder, an organization’s ability to grow and innovate.”.
“Successfully implementing AI requires trusting the data that underpins it. The volume of sensitive and confidential data increases daily as new information is created, copied, shared, used, and moved,” said Jennifer Glenn, research director at IDC Security and Trust. “Strict control of organizational data, along with verifiable audit logs that show where data resides and how it is used, can ensure that only the right people and devices have access to the right information. This provides organizations with a trusted information foundation ready for AI use.”.
Data Lineage is now available in preview for Netskope customers and is expected to be accessible to everyone in the first half of 2026.
