Accelerate Your AI Initiatives with Zero Trust
Comprehensive security and governance for your AI journey
A unified platform to secure your AI
Companies that embrace AI will gain a clear competitive edge. However, traditional firewall-centric security models were never designed for AI, and standalone AI point products can’t scale to meet enterprise demands.
Zscaler’s unified platform for AI Security offers a comprehensive solution, empowering organizations to safeguard every aspect of their enterprise AI life cycle seamlessly and at scale.
AI Asset Management
Discover and map your entire AI ecosystem, from shadow AI to risky apps, models, and pipelines.
Understand workforce's AI app usage, from generative to embedded
Discover AI models, MCP servers, development tools, and data pipelines
Identify posture and risk across apps, models, data pipelines and infrastructure
Secure Access to AI Apps
Manage user access to AI while enforcing data protection and acceptable use policies.
Warn, Block, Isolate
Source Code, PII, PHI, etc.
Safe Use, Off-Topic
Secure AI Apps and Infrastructure
Conduct vulnerability assessments and simulate attacks on your AI systems.
Utilize 25+ prebuilt probes across key risk categories.
Tailor probes and upload attack datasets to fit needs.
Fix issues with actionable steps and track progress seamlessly.
Safeguard every interaction with your AI systems.
Stop prompt injections, data poisoning, and malicious URLs.
Scale data security policies in AI to prevent risky outputs.
Ensure AI outputs are safe, relevant, and non-harmful.
AI Governance
Govern your AI footprint and deployments, maintaining regulatory compliance while minimizing security risk.
Monitor AI systems in real time to meet regulations.
Align deployments with policies and current regulations
Simplify audits and ensure compliance with detailed insights.
Zscaler Advantage
A proven platform for AI transformation
Zscaler has revolutionized how organizations transform. Backed by decades of expertise, our Zero Trust Exchange™ platform seamlessly integrates AI security for unmatched visibility and control.
Customer Success Stories
FAQ
AI red teaming tests and secures AI systems, especially large language models (LLMs), by simulating real-world attacks and vulnerabilities like prompt injection or data poisoning. This approach ensures AI models are robust, safe, and aligned with regulations. Organizations use it to reduce risks, improve model reliability, and protect against threats as AI becomes crucial for business and innovation. Learn more.
Zscaler AI Security protects the full AI life cycle by combining automated red teaming, dynamic risk assessment, and advanced guardrails. It identifies vulnerabilities, fixes risks with real-time remediation, and hardens prompts to prevent exploits like data leaks. Tools like Policy Generator align AI systems with compliance standards, ensuring safe development, deployment, and operation in enterprise environments.
AI Security prevents generative AI data leakage by blocking unauthorized tools, monitoring risky interactions, and enforcing strict data loss prevention (DLP) policies. Hosting AI tools privately and controlling access with zero trust measures protect sensitive data from being shared or exposed. With these controls, organizations can safely use AI while staying compliant and preventing breaches.
AI security posture management (AI-SPM) secures AI models, data, and infrastructure by identifying risks like misconfigurations, data leaks, or adversarial attacks. It provides visibility into AI assets, enforces compliance with regulations, and mitigates vulnerabilities throughout the AI life cycle. AI-SPM ensures safer AI adoption by protecting sensitive data, managing risks, and maintaining secure, well-governed AI operations.