The rapid rise of AI in the enterprise has created a complex ecosystem, spanning public genAI apps, embedded AI capabilities, private models, and AI agents, all interacting across various business operations. Netskope One AI Security helps you confidently secure this evolving landscape, providing complete visibility and discovery across your AI ecosystem, securing the AI pipeline end-to-end, and protecting every interaction.
Accelerate secure AI adoption across your entire ecosystem with a unified platform that transforms complex security into a high-performance fast lane for innovation.
Secure every interaction, from your people and your AI agents, with architecture that supports a zero trust strategy, understanding the intent and risk of all activity.
Secure the journey of your data across every AI interaction, with unified data security that spans training, real-time prompts, and model responses.
With Netskope, we can lock down certain areas and prevent users from uploading certain data to AI platforms. So, they can use ChatGPT to help the business operate more efficiently, but they cannot upload proprietary data into ChatGPT.
Early on, we worried about people sharing inappropriate information without understanding how genAI works. Netskope helped us to safely roll out these systems with effective controls and user coaching in place.
The AI cloud confidence index is highly effective in telling us the underlying security risks of an associated platform.
Through systems like Netskope, we have a multi-faceted approach & ability to support AI requests in many different ways now.
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Identify AI use across all managed and unmanaged SaaS applications. Visibility of the AI applications and MCP servers used, the instance type, and what actions were taken, including login, post, upload, and download.
Netskope identifies and classifies risk for more than 85,000 public and apps and over 100 MCP servers. Whether it’s a dedicated genAI tool or a traditional SaaS application enhanced with genAI features, Netskope One provides 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 DLP, leverage the largest catalog of over 3,000+ data classifiers and over 1800+ file types to proactively identify and protect your critical data. Extend protection to AI specific threats, such as prompt injection, with Netskope One AI Guardrails.
Prevent sensitive or regulated data from unintentionally feeding into LLMs through retrieval-augmented generation (RAG), or indirect and manual methodologies. Netskope One DSPM identifies and flags at-risk data across SaaS, IaaS, PaaS, and on-prem sources.
Systematically test your AI models for vulnerabilities before and after they are deployed, using more than 18,000 adversarial scenario test cases and seed prompts.
Gain visibility and enforce protection for agentic communication across public clouds and private AI environments. Add additional layers of security with DLP, threat prevention, and guardrails to secure all interactions.
Identify AI use across all managed and unmanaged SaaS applications. Visibility of the AI applications and MCP servers used, the instance type, and what actions were taken, including login, post, upload, and download.
Netskope identifies and classifies risk for more than 85,000 public and apps and over 100 MCP servers. Whether it’s a dedicated genAI tool or a traditional SaaS application enhanced with genAI features, Netskope One provides 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 DLP, leverage the largest catalog of over 3,000+ data classifiers and over 1800+ file types to proactively identify and protect your critical data. Extend protection to AI specific threats, such as prompt injection, with Netskope One AI Guardrails.
Prevent sensitive or regulated data from unintentionally feeding into LLMs through retrieval-augmented generation (RAG), or indirect and manual methodologies. Netskope One DSPM identifies and flags at-risk data across SaaS, IaaS, PaaS, and on-prem sources.
Systematically test your AI models for vulnerabilities before and after they are deployed, using more than 18,000 adversarial scenario test cases and seed prompts.
Gain visibility and enforce protection for agentic communication across public clouds and private AI environments. Add additional layers of security with DLP, threat prevention, and guardrails to secure all interactions.
NewEdge AI Fast Path
Give users and AI agents the fastest path to models, data, and AI applications. Reduce latency and deliver high-performance AI experiences, without sacrificing security.
Netskope One AI Security secures every stage of your AI journey, providing deep visibility into AI activity, enforcing granular security policies, and mitigating risks across public genAI tools, embedded AI features, private AI deployments, and agentic interactions.
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Netskope Cloud Confidence Index (CCI) covers over 1,800+ genAI apps and 85,000+ 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 personal and corporate instances of the same SaaS application and implement different policies based on the specific instance being used. 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 1,800+ genAI apps and 85,000+ 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 personal and corporate instances of the same SaaS application and implement different policies based on the specific instance being used. 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’s AI in the Fast Lane roadshow brings together security professionals to discuss how organizations are using AI today, and how a comprehensive security strategy can create a smarter, safer, and future-proof model. This essential, interactive event is for networking and security practitioners and executives seeking to harness AI’s power while maintaining security and compliance.
As GenAI technologies forge ahead, promising to revolutionize industries with a market potential of $1.3 trillion by 2032, the imperative to secure and govern their application has never sounded louder.
Please join Truth in IT moderator Mike Matchett as he welcomes Neil Thacker, Netskope CISO EMEA, and Vinit Anshuman, AWS Global Business Leader, to take you on a thought-provoking journey into the heart of GenAI governance and security.
Shadow AI refers to the use of AI tools (like ChatGPT, Gemini, or specialized coding assistants) that have not been vetted or sanctioned by IT. According to Netskope’s 2026 Cloud and Threat Report, 60% of enterprise AI usage is unsanctioned, and organizations face an average of 223 generative AI data policy violations every month. Netskope One AI Security provides the visibility needed to find these tools and apply real-time governance.
Unlike traditional AI that waits for a prompt, AI Agents take autonomous actions across your network. Netskope One extends Zero Trust to these non-human entities by monitoring Model Context Protocol (MCP) traffic. The platform applies least-privilege access to agents, ensuring they can only interact with authorized data sources and cannot be manipulated into exfiltrating sensitive corporate data at machine speed.
Yes. While 54% of organizations now run private or locally hosted AI models, many lack the tools to secure them. Netskope One AI Security provides Unified Data Security that covers training data pipelines and real-time inference for private models. This ensures that even “in-house” AI doesn’t accidentally ingest regulated data (PII/PHI) or become a target for internal prompt injection attacks.
AI applications are extremely latency-sensitive. NewEdge AI Fast Path is a specialized routing technology that minimizes the “Time-to-First-Token” (TTFT)—the delay between a prompt and the first AI response. It ensures your AI traffic takes the fastest route across the global NewEdge network without bypassing critical security inspections, eliminating the “speed vs. security” trade-off.
The Netskope AI Index (part of our CCI) provides real-time risk ratings for over 1,800 generative AI applications. It evaluates factors such as a vendor’s data-sharing practices, whether they use your data to train their models, and their overall GRC posture. This allows your security team to proactively decide which AI tools are “enterprise-ready” and which should be blocked or restricted.
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