Wedoany.com Report on Feb 7th, Cybersecurity company Netskope announced the launch of a data lineage feature within its Netskope One platform. This feature utilizes visualization and analysis tools to help organizations track the complete journey of data from storage to usage, providing verifiable audit trails for AI applications and supporting compliance records and incident investigations.
With the widespread adoption of AI technologies, enterprises are facing increasing demands for data governance and auditing. Traditional data loss prevention tools struggle to correlate data activities across platforms, leading to insufficient visibility. Netskope's data lineage feature, built upon its existing security control framework, can track the flow paths of sensitive data within an organization, covering key aspects such as data sources, movement, usage, and access.
This feature enables enterprises to implement policy controls that adapt to changes in data formats. Its primary value includes: complete data provenance tracing capabilities, supporting leak incident investigations and compliance management; identifying internal threats by monitoring user data behavior; and optimizing data access policies using historical timelines to improve security posture.
Krishna Narayanaswamy, Co-founder of Netskope, stated: "In the digital environment, having a comprehensive understanding of how data flows and ensuring compliance with data protection regulations is particularly critical for organizations adopting AI tools. The data lineage feature is designed to support, not restrict, business growth and innovation."
Jennifer Glenn, Research Director for Security and Trust at IDC, noted: "Successful AI implementation must be built upon a foundation of trustworthy data. Through rigorous data governance and verifiable auditing, it ensures that the right people and devices access the appropriate information, establishing a reliable data foundation for AI applications."
The data lineage feature is currently available for preview to Netskope customers, with a full release expected in the first half of 2026. Enterprises can experience this feature and other AI-ready capabilities of the platform at Booth 1127 at the RSA Conference in San Francisco in March 2026.
Netskope provides security solutions for the cloud and AI era, meeting enterprise security needs through contextualized real-time protection.
February 6, 2026 - Global cybersecurity leader Netskope announced the official launch of its "Data Lineage" feature within its integrated security platform, Netskope One. This feature leverages powerful visualization and analysis tools to help organizations track the complete lifecycle of data from creation, storage, and movement to final usage, thereby providing verifiable audit trails for increasingly prevalent artificial intelligence applications and effectively supporting compliance records and security incident investigations.
As AI technology becomes deeply integrated into business operations, enterprise demands for data governance, transparency, and auditing capabilities have reached unprecedented levels. Traditional data loss prevention tools are often limited to point-in-time protection, struggling to correlate data activities across complex multi-cloud and multi-application environments, leading to insufficient overall visibility into data flows. Netskope's data lineage feature directly addresses this pain point. Built upon its existing comprehensive security control framework, it can seamlessly track the flow paths of sensitive data both inside and outside the organization, comprehensively covering key aspects such as data sources, movement trajectories, usage scenarios, and accessing entities.
The core value of this feature lies in enabling enterprises to implement dynamic policy controls that accompany the entire data lifecycle. Specifically, its main advantages include: First, providing complete "data lineage" tracing capabilities, locking down data flow from its source, which significantly enhances the efficiency and accuracy of data leak investigations and aids in meeting compliance requirements of stringent data protection regulations like GDPR and CCPA. Second, by continuously monitoring user access and operational behavior on sensitive data, it can proactively identify potential internal threats and anomalous activities. Third, utilizing historical timeline analysis of data activities, enterprises can optimize and continuously adjust data access policies, thereby improving the overall security posture.
Krishna Narayanaswamy, Co-founder and Chief Technology Officer of Netskope, stated: "In today's digital environment, having a comprehensive grasp of how data flows and ensuring it complies with increasingly strict data protection regulations is crucial for organizations actively adopting AI tools. Our data lineage feature is designed to empower enterprises, providing unprecedented transparency and control to support, not restrict, their business growth and technological innovation."
Jennifer Glenn, Research Director for Security and Trust at IDC, commented: "Successful implementation of artificial intelligence must be built upon a foundation of trustworthy and reliable data. Through rigorous data governance and verifiable audit trails, it ensures that the right people and devices access the appropriate information in the right context. This lays a solid data foundation for building reliable AI applications."
Currently, the data lineage feature is available for preview to all Netskope customers, with a full release expected in the first half of 2026. Interested enterprises can experience this feature and other AI-ready capabilities of the Netskope One platform firsthand at Booth 1127 at the RSA Conference in San Francisco, USA, in March 2026.
As a security solution provider for the cloud and AI era, Netskope is committed to meeting the security needs of modern enterprises through contextualized real-time protection. Its unified Netskope One platform service encompasses Zero Trust architecture, Intelligent Security Service Edge (SSE), and the global high-performance NewEdge network, helping customers effectively manage complex risks associated with cloud services, artificial intelligence, and various web applications, ultimately achieving a perfect balance between security protection and business performance.
Its platform services include Zero Trust architecture and the NewEdge network, helping customers manage risks in cloud, AI, and various applications to achieve a balance between security and performance.
