ASAI Security ResearchIndependent public-source research
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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

Showing 1–16 of 16 evidence records

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Snyk EvoAI assurance and adversarial testingSource checkedStrong public support for this requirement

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
Snyk EvoAI model and supply-chain securitySource checkedStrong public support for this requirement

Snyk Evo claims discovery of models, agents, Model Context Protocol (MCP) servers, datasets, and plugins in repositories plus AI supply-chain security.

identifies models, agents, MCP servers, datasets, and plugins across your repositories
Snyk EvoAI gateway, tool-connection, and runtime controlsNo supporting claim found

Snyk Evo materials reviewed did not provide a public claim for inline model, agent, tool, application programming interface (API), or Model Context Protocol (MCP) policy enforcement.

No quoted source text is recorded for this claim.
Snyk EvoNon-human identity and service-account securityNo supporting claim found

Snyk Evo materials reviewed did not provide a public claim for non-human identity, service-account, secret, or workload credential lifecycle controls.

No quoted source text is recorded for this claim.
Snyk EvoAI coding-agent and workstation securitySource checkedStrong public support for this requirement

Snyk Evo claims real-time action guardrails and generated-code validation before code reaches repositories, pipelines, or production.

apply guardrails to agent actions in real time, and ensure AI-generated code is secure before it reaches repositories, pipelines, or production