Zscaler claims AI Asset Management discovers and maps the AI ecosystem, including shadow AI, risky apps, models, and pipelines.
Discover and map your entire AI ecosystem, from shadow AI to risky apps, models, and pipelines.
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Showing 1–18 of 18 evidence records
Clear all filtersZscaler claims AI Access Security detects and classifies AI apps, including embedded AI in software as a service (SaaS) applications.
Detect and classify thousands of AI apps including AI embedded in popular SaaS applications.
Zscaler claims AI Access Security provides visibility into user interaction with AI apps, including prompt and response extraction and classification.
Get a clear view of how users interact with your apps, including deep insights with prompt/response extraction and classification.
Zscaler claims AI Access Security can warn, block, isolate, and restrict copy-paste actions within AI applications.
Use flexible policies to warn, block, or enforce browser isolation, giving you full control over copy-paste actions within AI applications.
Zscaler claims AI Access Security blocks sensitive data loss in prompts using inline data loss prevention (DLP) dictionaries for source code, PII, PCI, PHI, and other data types.
Block the loss of sensitive data in prompts with powerful inline DLP across 100+ DLP dictionaries like Source Code, PII, PCI, PHI, and more.
Zscaler claims Endpoint AI Security detects AI threats on employee devices across browsers, extensions, and plugins.
Find and stop AI threats on employee devices in browsers, extensions, and plugins that traditional EDRs were never built to see.
Zscaler claims AI red teaming can conduct vulnerability assessments and simulate attacks on AI systems.
Conduct vulnerability assessments and simulate attacks on your AI systems.
Zscaler claims AI Access Graph provides real-time visibility into how AI agents use data and identities.
Get real-time visibility into how AI agents use data and identities, reducing unnecessary access and tracking data lineage across every channel.
Zscaler claims AI Broker secures agentic communications through Model Context Protocol (MCP) and agent-to-agent (A2A) brokers with fine-grained access policies.
Secure agentic communications through MCP and A2A brokers and enforce fine-grained access policies across every enterprise AI agent.
Zscaler claims AI Access Graph tracks AI agent use of identities and data, but the reviewed source does not describe full non-human identity (NHI) credential lifecycle management.
Get real-time visibility into how AI agents use data and identities, reducing unnecessary access and tracking data lineage across every channel.
Zscaler claims AI asset management, AI bill of materials, posture and risk assessment, compliance heat maps, governance status, access policy, and data-lineage visibility across the AI lifecycle.
Discover and map your entire AI ecosystem, from shadow AI to risky apps, models, and pipelines.
Zscaler claims automated red teaming across the AI lifecycle, including new adversarial testing for Model Context Protocol (MCP) servers and dynamic risk assessment.
Introduces AI red teaming for MCP servers, a standalone prompt hardening service, and compliance heat maps.
Zscaler claims AI BOM discovery of models, Model Context Protocol (MCP) servers, development tools, and data pipelines plus risk scoring, codebase scanning, and Model Context Protocol (MCP) capability exposure analysis.
AI BOM: Discover AI models, MCP servers, development tools, and data pipelines.
Zscaler claims Model Context Protocol (MCP) and agent-to-agent (A2A) brokers, fine-grained agent access policy, prompt hardening, AI guardrails, and runtime protection across enterprise AI agents.
Secure agentic communications through MCP and A2A brokers and enforce fine-grained access policies across every enterprise AI agent.
Zscaler claims an AI Access Graph that maps AI-agent use of data and identities and enables fine-grained access policies for enterprise agents across Model Context Protocol (MCP) and agent-to-agent (A2A) communications.
Get real-time visibility into how AI agents use data and identities, reducing unnecessary access.
Zscaler claims endpoint discovery and protection for AI activity in browsers, extensions, and plugins plus agentic codebase scanning and Model Context Protocol (MCP) risk analysis for filesystem, network, and code-execution exposure.
Uncover risks in agentic codebases through code scanning, and extend visibility to AI activity on endpoints.
Zscaler AI Security materials reviewed did not establish customer AI workload cost attribution, budgets, chargeback, or cost-aware model routing.
No quoted source text is recorded for this claim.
Zscaler documents AI Guard as a software as a service (SaaS) subscription with a platform fee and purchased token allocation for the subscription term, with additional tokens ordered through sales or a channel partner.
AI Guard is a Software as a Service product licensed based on a platform subscription fee and the number of tokens purchased.