How can organizations adopt generative AI tools safely?

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.

Can security tools block sensitive data from being sent in AI prompts?

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, publicly identifiable information (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 uses 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.

What is shadow AI and how is it managed by security teams?

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.

Does AI security protect against sophisticated AI generated threats?

Yes, and it actively protects against novel threats specifically targeting AI systems themselves. Through Netskope One Threat Protection and Netskope One 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.

How does the network optimize performance for AI applications?

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. Using 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.

Absicherung generativer KI mit Netskope One

In diesem Playbook werden sechs zentrale Sicherheitsherausforderungen untersucht, mit denen Unternehmen bei der Einführung von KI konfrontiert sind, sowie bewährte, praxisnahe Strategien, um diese zu bewältigen.

Hier haben Sie die Chance, die Single-Cloud-Plattform Netskope One aus erster Hand zu erleben. Melden Sie sich für praktische Übungen zum Selbststudium an, nehmen Sie an monatlichen Live-Produktdemos teil, testen Sie Netskope Private Access kostenlos oder nehmen Sie an Live-Workshops teil, die von einem Kursleiter geleitet werden.

2X als Leader im Gartner® Magic Quadrant für SASE-Plattformen ausgezeichnet
Eine einheitliche Plattform, die für Ihre Reise entwickelt wurde

Organisationen benötigen sichere KI, um ihr Geschäft voranzubringen, doch Kontrollmechanismen und Schutzmaßnahmen dürfen nicht zu Lasten der Geschwindigkeit oder der Benutzerfreundlichkeit gehen. Netskope kann Ihnen helfen, die Vorteile der KI zu nutzen.

Hier finden Sie Tipps und Tricks für den Übergang zu einem cloudbasierten DLP.

Hören Sie auf, mit Ihrer Netzwerkarchitektur Schritt zu halten

Advanced Analytics verändert die Art und Weise, wie Sicherheitsteams datengestützte Erkenntnisse anwenden, um bessere Richtlinien zu implementieren. Mit Advanced Analytics können Sie Trends erkennen, sich auf Problembereiche konzentrieren und die Daten nutzen, um Maßnahmen zu ergreifen.