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 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)
Microsoft Purview materials reviewed did not provide a public product claim for automated adversarial testing, agent or model red teaming, repeatable attack suites, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
Noma claims agentic red teaming that simulates real-world attacks to identify vulnerabilities in autonomous AI systems before production.
Advanced simulation of real-world agent attacks to identify vulnerabilities in autonomous AI systems before production exploitation.
Related framework references (5)
WitnessAI claims automated predeployment AI red teaming to identify weaknesses in model defenses before deployment.
Automate AI red-teaming to find vulnerabilities pre-deployment.
Related framework references (5)
Netskope claims automated, scheduled adversarial simulations using more than 18,000 scenarios, multi-turn attacks, continuous risk tracking, and application programming interface (API)-based CI/CD release screening.
Automating adversarial simulations and integrating into CI/CD pipelines to help you uncover vulnerabilities.
Related framework references (5)
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.
Related framework references (5)
Check Point AI Agent Security and Lakera Guard materials reviewed did not provide a public customer-facing product claim for automated adversarial testing, repeatable attack suites, or release-gate red teaming.
No quoted source text is recorded for this claim.
Related framework references (5)
Lasso claims automated agentic red teaming with static, multi-turn, and high-agency attacks, deployment-pipeline integration, adaptive policy generation, and one-click testing.
Stress-test application logic through static, multi-turn, and high-agency attack to uncover vulnerabilities and build adaptive guardrails.
Related framework references (5)
Pangea AI Guard and Prompt Guard materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
F5 AI Red Team claims agent-powered adversarial testing, multi-turn agentic attacks, more than 50,000 evolving exploits, and prelaunch stress testing for AI applications.
The industry’s first agent-powered adversarial testing platform for AI applications.
Related framework references (5)
Oasis Agentic Access Management materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
Astrix Agent Control Plane materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
Entro agent and non-human identity (NHI) security materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
Aembit identity and access management (IAM) for Agentic AI materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
Prompt Security claims automated preproduction and continuous red teaming for prompt injection, data exposure, privilege escalation, jailbreaks, unsafe agent behavior, drift, and other AI-specific risks with evidence and remediation guidance.
Run pre-production red teaming, prioritize issues using risk scoring and evidence, and confidently ship production-ready AI applications.
Related framework references (5)
Harmonic platform materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
Cyberhaven AI Security materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
Nightfall Model Context Protocol (MCP) and agent security materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
Island AI Services materials reviewed did not provide a public customer-facing product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)
LayerX Interaction Security materials reviewed did not provide a public product claim for automated adversarial testing, repeatable attack suites, model or agent red teaming, or release-gate evaluation.
No quoted source text is recorded for this claim.
Related framework references (5)