Aurascape claims predeployment adversarial guardrail tests for prompt injection and jailbreak attempts plus code-path vulnerability checks against known CVEs.
Runs adversarial guardrail tests and code-path vulnerability checks before an agent ships.
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.
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Evidence records1280
Source checked863
Needs verification0
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No supporting claim found411
Excluded from evidence6
Showing 41–60 of 67 evidence records
Clear all filtersVaronis Atlas claims proactive AI penetration testing that stress-tests models, agents, and chatbots for prompt injection, jailbreaks, vulnerabilities, and unsafe behavior before runtime.
Proactively stress test your AI systems for vulnerabilities like prompt injection and jailbreaks.
Operant claims open-source Woodpecker red teaming for early vulnerability detection and attack simulation as part of its AI security approach.
Operant’s Woodpecker simplifies this with open-source red teaming, enabling early vulnerability detection.
Tenable AI Exposure and AI-SPM 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.
Knostic and AgentMesh materials reviewed did not provide a public product claim for automated adversarial testing of customer models or agents, repeatable attack suites, or release-gate red teaming.
No quoted source text is recorded for this claim.
Onyx 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.
Cato AI Security and AIM 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.
JetStream SAIG 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.
Singulr claims continuous, application-aware AI red teaming against OWASP large language model (LLM), NIST, and MITRE scenarios integrated into CI/CD.
Application-aware AI red teaming runs continuously against OWASP LLM Top 10, NIST, and MITRE scenarios, built into CI/CD.
Grip AI and software as a service (SaaS) 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.
Reco AI agent and Model Context Protocol (MCP) 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.
Zenity platform 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.
Token Security product 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.
Iterate.ai AgentWatch and AgentOne 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.
Credo AI claims automated red teaming and drift detection within its Risk Intelligence module.
Automated red-teaming and drift detection
Holistic AI claims automated AI red teaming with more than 100 attack vectors and retesting after remediation.
AI red teaming with over 100 automated attack vectors
Mindgard claims continuous attacker-aligned security testing and automated red teaming across development, deployment, and runtime.
continuously pressure-test AI systems the same way real attackers do, across development, deployment, and runtime
Enkrypt AI claims continuous multimodal red teaming across agents, tools, retrieval-augmented generation (RAG), and Model Context Protocol (MCP) with reproducible findings and CI regression suites.
finds real failure modes across text, audio, and vision—including agents, tools, RAG, and MCP
Akto claims continuous red teaming across AI agents and Model Context Protocol (MCP)-connected systems.
runs continuous red teaming
Okta materials reviewed did not provide a public claim for adversarial AI testing, red teaming, model evaluation, or release-gate regression testing.
No quoted source text is recorded for this claim.