Netskope One DataSec Command Center provides security teams with complete visibility into their sensitive data and a seamless process from detection to remediation across their entire data environment.
Organizations are facing a growing data security gap, driven by tool fragmentation, the rapid adoption of artificial intelligence (AI), and manual investigation workflows. According to the Netskope 2026 Data Security Report, more than half of organizations use 11 or more separate tools for data security alone, and fewer than 10% describe their toolset as fully unified. The operational cost is considerable: only 4% of organizations can reconstruct the path of sensitive data in minutes, while 68% take days or longer. The rapid adoption of AI has exacerbated this problem: 98% of organizations are currently using it, but only 8% consistently apply data protection policies across AI environments.
Netskope One DataSec Command Center forms the core of Netskope's unified data security strategy, coordinating protection across all Netskope data security touchpoints. By gathering information from all Netskope services, it correlates relationships between users, devices, data stores, and AI assets, revealing hidden risks and accelerating their resolution by facilitating direct action, enabling triage or investigation workflows, and recommending policies that are enforced at Netskope data security touchpoints. Benefits include:
• Data security health and risk detection: An always-on detection dashboard and risk prioritization engine correlate, normalize, and analyze signals from DLP, DSPM, SWG, CASB, and other solutions to identify vulnerabilities and other risks across SaaS, IaaS, PaaS, on-premises, online, and endpoint environments. Integrated workflows enable security teams to move from detection to remediation.
• Data Provenance: Integration with Netskope One Data Lineage provides a unified interface for tracking data movement across connected systems, from the moment a file is created to wherever it travels.
• Intelligent Adaptive Security: Translates risk signals into recommended policy adjustments and corrective actions, closing the loop from analysis to application without manual intervention.
• Agent-Based Operations: Works in conjunction with the Netskope DLP AISecOps agent to detect, classify, prioritize, investigate, and resolve data security incidents at machine speed. Since 56% of organizations currently investigate only half or fewer of the alerts they generate due to a lack of capacity, DataSec Command Center and the agent address this gap at scale.
Sanjay Beri, co-founder and CEO of Netskope, states: “Organizations are investing more than ever in data security tools, but most teams still can’t answer basic questions like: Where is the data? and What is its current state? The problem isn’t a lack of tools, but rather the sheer volume of data and signals they generate, as well as the lack of coordination between them. Netskope One DataSec Command Center processes all that data and those signals, correlates and normalizes them, analyzes them, and delivers understandable insights, giving security teams the control plane they’ve been missing: a single place to see what’s exposed, understand how it got there, and act accordingly to prevent and mitigate risks.”
Wayne Cross, director of cybersecurity and IT infrastructure operations at Borden Ladner Gervais LLP (BLG), comments: “The biggest operational hurdle we face in data security isn’t just the volume of data, but the fragmentation of our security infrastructure. Trying to unify disparate signals from cloud environments, software-as-a-service (SaaS), and artificial intelligence creates huge visibility gaps and slows response times. That’s why we’ve established a priority strategy to unify our data security. The goal is to eliminate silos, gain a clear view of our data, and ultimately get ahead of the risks that truly matter.”
As a single control plane for data security, Netskope One DataSec Command Center encompasses all types of data, regardless of their location or state, including:
• Real-time network data sent over the internet, transmitted via email, or in transit to end devices.
• Databases or object stores from cloud service providers such as AWS, GCP, and Azure.
• SaaS environments, such as Microsoft OneDrive, SharePoint, and Google Drive.
• AI services such as ChatGPT and Anthropic's Claude.
• Structured data on PaaS platforms such as Databricks, Snowflake, and other vector database services.
