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
Akamai application programming interface (API) Security materials reviewed did not provide a public claim for AI-specific adversarial testing and release assurance.
No quoted source text is recorded for this claim.
Related framework references (5)
Salt Security materials reviewed did not provide a public claim for AI-specific adversarial testing and release assurance.
No quoted source text is recorded for this claim.
Related framework references (5)
Imperva AI Application Security materials reviewed did not provide a public claim for AI-specific adversarial testing and release assurance.
No quoted source text is recorded for this claim.
Related framework references (5)
Kong AI Gateway materials reviewed did not provide a public claim for AI-specific adversarial testing and release assurance.
No quoted source text is recorded for this claim.
Related framework references (5)
Speakeasy AI Control Plane materials reviewed did not provide a public claim for AI-specific adversarial testing and release assurance.
No quoted source text is recorded for this claim.
Related framework references (5)
Harness claims dynamic predeployment testing of AI-native applications for prompt injection, data exfiltration, and other AI-specific threats.
Dynamically test your AI-native applications for AI-specific threats
Related framework references (5)
Wallarm AI Control Platform materials reviewed did not provide a public claim for AI-specific adversarial testing and release assurance.
No quoted source text is recorded for this claim.
Related framework references (5)
Cequence AI Gateway materials reviewed did not provide a public claim for AI-specific adversarial testing and release assurance.
No quoted source text is recorded for this claim.
Related framework references (5)
Upwind claims AI-specific security testing before deployment and continuously as models evolve.
identify weaknesses before deployment, and continuously as models evolve
Related framework references (5)
Proofpoint materials reviewed did not provide a public claim for adversarial testing or release assurance for AI systems.
No quoted source text is recorded for this claim.
Related framework references (5)
Securiti AI materials reviewed did not provide a public claim for adversarial testing or release assurance for AI systems.
No quoted source text is recorded for this claim.
Related framework references (5)
Snyk Evo claims continuous offensive testing that stress-tests applications and AI systems and validates exploitability.
stress-testing your applications and AI systems the way attackers do, autonomously and continuously
Related framework references (5)
ModelOp claims automated testing for bias, drift, performance, documentation, and continuous risk evidence.
Continuously track risks and collect evidence to stay audit-ready
Related framework references (5)
LatticeFlow AI claims app-specific evaluations and adversarial testing before launch with continuous monitoring afterward.
combining app-specific evaluations and adversarial testing before launch with continuous production monitoring afterward
Related framework references (5)
Runlayer materials reviewed did not provide a public claim for adversarial testing or release assurance for AI systems.
No quoted source text is recorded for this claim.
Related framework references (5)
Keycard materials reviewed did not provide a public claim for adversarial testing or release assurance for AI systems.
No quoted source text is recorded for this claim.
Related framework references (5)
Palo Alto Networks claims automated AI red teaming for applications and agents using simulated real-world threats and security-vulnerability scanning.
AI Red Teaming: Prisma AIRS Provides automated AI Red Teaming that you can use for scanning your AI applications or agents for security vulnerabilities.
Related framework references (5)
Cisco claims algorithmic red teaming for models and applications across more than 200 threat subcategories with model-specific guardrail generation.
Automatically test models and applications at AI scale with Cisco algorithmic red teaming.
Related framework references (5)
Microsoft provides open-source RAMPART and PyRIT tooling for repeatable adversarial and regression testing of agent and generative-AI systems.
RAMPART is an open-source testing framework that brings red teaming techniques directly into the development workflow.
Related framework references (5)
CrowdStrike offers AI Red Team Services for organizations implementing generative-AI services and applications.
falcon-mcp and AI Red Team Services now available in new AI Agents and Tools category of AWS Marketplace.
Related framework references (5)