The rapid rise of AI in the enterprise has created a complex ecosystem, spanning public GenAI apps, embedded AI features, private models, and AI agents, all interacting across various users and business operations. Netskope One helps you confidently secure this evolving landscape with industry-leading SSE capabilities, providing the visibility, control, and AI readiness needed across the broadest range of AI use cases.
With advanced discovery, classification, and labeling, organizations can identify and manage data that may interact with LLMs, applications, or AI agents, creating a foundation for safe and responsible AI use and development.
Security teams can monitor employee activity, track personal and corporate instances, and understand their data at rest and in motion across managed and unmanaged environments.
Move beyond simple allow-or-block controls by applying fine-grained policies based on user behavior and data sensitivity. Teams can also control specific actions such as uploading, downloading, copying, printing, and more within AI applications to reduce risk. Manage and prevent “shadow AI” adoption by guiding users toward approved tools such as enterprise versions of Microsoft Copilot and ChatGPT.
Netskope identifies and classifies risk for more than 82,000 public and private apps. Whether it’s a dedicated genAI tool or a traditional Saas application enhanced with genAI features, Netskope One provides you with detailed insights on risk characteristics, including if they use customer data for training, share data with third-parties, meet specific compliance requirements, and more, to help you make informed decisions about their use in your environment.
Netskope identifies and classifies risk for more than 82,000 public and private apps. Whether it’s a dedicated genAI tool or a traditional Saas application enhanced with genAI features, Netskope One provides you with detailed insights on risk characteristics, including if they use customer data for training, share data with third-parties, meet specific compliance requirements, and more, to help you make informed decisions about their use in your environment.
With Netskope One, you can monitor and control how data is shared within the app, apply advanced Data Loss Prevention (DLP) policies to safeguard sensitive information, and detect and block threats in real time with inline and API-based protection. Enforce compliance with governance and industry regulations, while enabling safe use of generative AI tools across your workforce.
Netskope One offers a range of capabilities across the platform to secure every stage of your AI journey, providing deep visibility into AI activity, enforcing granular data protection policies, and mitigating risks across public GenAI tools, embedded AI features, and private AI deployments.
Netskope Cloud Confidence Index (CCI) covers over 370 genAI apps and 82,000+ SaaS applications, helping organizations proactively understand AI-related risks, including data usage, third-party sharing, and model training behaviors. Leverage Netskope One CASB for genAI powered risk categorization of new SaaS applications.
Implement real-time user coaching to guide and educate users on safe data handling practices or redirect them to corporate sanctioned GenAI applications.
Distinguish between different instances of the same SaaS application, such as personal versus corporate instances. Organizations can implement different policies based on the specific instance being accessed. For example, allow full access to corporate instances while restricting personal instances.
Detect anomalies or misuse of AI tools with continuous behavior monitoring, powered by user and entity behavior analysis (UEBA).
Apply continuous, adaptive access controls based on user, device, risk, and AI app behavior, ensuring AI usage aligns with zero trust principles.
Netskope Cloud Confidence Index (CCI) covers over 370 genAI apps and 82,000+ SaaS applications, helping organizations proactively understand AI-related risks, including data usage, third-party sharing, and model training behaviors. Leverage Netskope One CASB for genAI powered risk categorization of new SaaS applications.
Implement real-time user coaching to guide and educate users on safe data handling practices or redirect them to corporate sanctioned GenAI applications.
Distinguish between different instances of the same SaaS application, such as personal versus corporate instances. Organizations can implement different policies based on the specific instance being accessed. For example, allow full access to corporate instances while restricting personal instances.
Detect anomalies or misuse of AI tools with continuous behavior monitoring, powered by user and entity behavior analysis (UEBA).
Apply continuous, adaptive access controls based on user, device, risk, and AI app behavior, ensuring AI usage aligns with zero trust principles.
As organizations race to adopt GenAI, the risks are evolving just as fast. Moderator Mike Matchett, Neil Thacker of Netskope, and AWS’s Vinit Anshuman break down the governance frameworks, security controls, and best practices needed to mitigate data exposure, bias, and shadow AI threats.