Public-source research
Vendor evidence
Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.
Research library coverageCounts describe the research workflow, not vendor quality or product effectiveness.View details
Evidence records1280
Source checked863
Needs verification0
Source captured0
No supporting claim found411
Excluded from evidence6
Wiz claims centralized AI inventory, posture, ownership context, compliance mapping, security baselines, prioritized risk, and remediation workflows across models, agents, services, data, infrastructure, and applications.
AI-SPM is designed to secure AI pipelines and accelerate AI adoption while maintaining protection against AI-related risks.
Related framework references (5)
Wiz AI-SPM materials reviewed did not provide a public product claim for automated adversarial testing, model or agent red teaming, repeatable attack suites, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
Wiz claims an AI bill of materials covering models, frameworks, dependencies, and libraries, plus model artifact scanning, repository and pipeline visibility, and attack-path analysis for model and training-data risk.
Analyze the components powering AI systems including models, frameworks, dependencies, and libraries.
Related framework references (5)
Wiz claims runtime detection and response for prompt injection, rogue agents, malicious AI behavior, and Model Context Protocol (MCP)-connected AI systems using sensor and cloud telemetry.
Stop AI-native threats including prompt injection, rogue agents, and malicious AI behavior at runtime.
Related framework references (5)
Wiz claims agent inventory and contextual mapping of agents to identities, workloads, data, access, capabilities, owners, and blast radius, with CIEM and secure-baseline checks.
Contextual Correlation: maps agents to the identities, workloads, and data they touch.
Related framework references (5)
Wiz claims coding-agent and AI-integrated development environment (IDE) integrations that bring cloud and AI context into development, generate code fixes, and prevent cloud and AI risks from reaching production.
Meet your developers where they are and how they work with coding agent integrations that fix cloud and AI risks at the source.
Related framework references (5)
Wiz materials reviewed did not provide a public claim for employee AI app discovery, unapproved employee AI usage, prompt/user activity inventory, or AI domain detection.
No quoted source text is recorded for this claim.
Related framework references (5)
Wiz materials reviewed did not provide a public claim for embedded software as a service (SaaS) AI feature inventory or employee third-party software as a service (SaaS) AI monitoring.
No quoted source text is recorded for this claim.
Related framework references (5)
Wiz claims it continuously discovers AI models, agents, Model Context Protocol (MCP) servers, and services across cloud and software as a service (SaaS).
Continuously discover AI models, agents, MCP servers, and services across cloud and SaaS.
Related framework references (5)
Wiz materials reviewed did not provide a public claim for employee unapproved AI app blocking, coaching, allowlists, browser control, or network control.
No quoted source text is recorded for this claim.
Related framework references (5)
Wiz claims AI-specific risk detection covers sensitive data exposure, guardrails, and exposed endpoints.
Identify AI-specific risks — from sensitive data exposure and guardrails to exposed endpoints.
Related framework references (5)
Wiz materials reviewed did not provide a public claim for browser extension enforcement, enterprise browser controls, software as a service (SaaS)-session controls, or identity-aware user software as a service (SaaS) policy.
No quoted source text is recorded for this claim.
Related framework references (5)
Wiz claims it detects and responds to AI runtime threats from data exposure to malicious agent actions.
Detect and respond to AI runtime threats, from data exposure to malicious agent actions.
Related framework references (5)
Wiz claims continuous discovery of AI models, agents, Model Context Protocol (MCP) servers, and services across cloud and software as a service (SaaS).
Continuously discover AI models, agents, MCP servers, and services across cloud and SaaS.
Related framework references (5)
Wiz claims discovery of Model Context Protocol (MCP) servers across cloud and software as a service (SaaS) as part of AI model, agent, and service visibility.
Continuously discover AI models, agents, MCP servers, and services across cloud and SaaS.
Related framework references (5)
Wiz claims real AI risk context connects infrastructure, identity, data, and AI.
Understand real AI risk by connecting context across infrastructure, identity, data, and AI.
Related framework references (5)
Wiz materials reviewed did not provide a public claim for AI spend attribution, model cost routing, budget enforcement, rate limits, runaway token controls, or AI return on investment (ROI) reporting.
No quoted source text is recorded for this claim.
Related framework references (5)
Wiz says its platform licensing is modular and scales with workloads, active developers, log ingestion, or sensors.
Licensing is modular- scaling with your workloads, active developers, log ingestion, or sensors to provide complete security in one platform.
Related framework references (2)
Wiz claims most frontier AI labs rely on Wiz to secure their cloud, AI workloads, and the data powering next-generation innovation.
Most frontier AI labs rely on Wiz to secure their cloud, AI workloads, and the data powering next-generation innovation.
Related framework references (5)