Securing Generative AI with Netskope One

Organizations can securely adopt AI by moving beyond fragmented tools to a unified platform strategy that provides visibility and protection across the entire AI ecosystem and the data flowing through it, including SaaS AI tools, embedded AI and copilots in SaaS, privately hosted models, and autonomous AI agents. Netskope One AI Security provides a high-performance zero trust architecture that grants deep visibility into AI interactions, securing users, applications, and agents against threats while protecting data with real-time data loss prevention (DLP) to ensure organizations use AI safely without exposing proprietary information or violating compliance requirements.

Yes. Netskope One DLP and Netskope One AI Guardrails inspect every prompt and response in real time to prevent sensitive data such as source code, PII, and intellectual property from leaking into public AI models. Traditional DLP struggles with AI because it relies on pattern matching (like regex), which fails when AI transforms or rewrites content while preserving its meaning. To solve this, Netskope utilizes semantic inspection that evaluates the actual intent and context of the data, regardless of how it is phrased. Security teams can also implement real-time user coaching , which uses pop-up messages to educate users who attempt to share sensitive data or visit unauthorized AI apps or sites, steering them toward corporate-approved AI tools.

Shadow AI is the unmanaged and unauthorized use of AI applications by employees, and it is expanding rapidly. The risk now also extends to shadow agentic AI, where autonomous AI agents operate in the background without security oversight. Netskope tackles this by delivering granular visibility through application instance awareness, which separates personal AI accounts from corporate instances on the exact same platform. Using the Netskope Cloud Confidence Index (CCI), which evaluates the risk of over 85,000 SaaS and AI applications, security teams can dynamically assess app risks, block unauthorized usage, restrict high-risk activities, and gain comprehensive auditability over both human and machine-to-machine AI interactions.

Yes, and it actively protects against novel threats specifically targeting AI systems themselves. Through Netskope One Threat Protection and AI Guardrails, the Netskope One platform uses machine learning and advanced heuristic analysis to block malware and malicious links hidden in AI interactions, while continuously monitoring traffic for AI-specific attacks like prompt injections and jailbreak attempts. Guardrails also acts as a content moderator, automatically filtering harmful, discriminatory, or copyrighted content in AI responses. For organizations developing their own private AI models, Netskope One AI Red Teaming automates adversarial simulations using over 18,000 scenarios to stress-test models for vulnerabilities before they are deployed. All detected violations and threats are mapped to industry standards including MITRE ATLAS and the OWASP Top 10 for LLMs to dramatically accelerate incident investigation.

AI demands high-speed, dynamic data processing, making traditional security latency unacceptable. Netskope eliminates the security vs. speed trade-off dilemma through NewEdge AI Fast Path, which optimizes network routing to critical AI destinations across public and private clouds. The NewEdge network features more than 120 data centers globally, placing users and AI agents milliseconds away from the LLMs, CPUs, and GPUs powering their workflows. Utilizing NewEdge Route Control, the network makes tens of thousands of adjustments daily to bypass internet congestion and ISP issues. This infrastructure significantly reduces the time-to-first-token (TTFT) for conversational AI and provides the high-speed processing required for rapid, multi-prompt agentic workflows, ensuring security acts as an accelerator for AI innovation rather than a roadblock.