Unapproved AI use discovery
Snyk Evo materials reviewed did not provide a public claim for enterprise-wide discovery of unapproved AI use.
Public-source research
Review what vendors say publicly, the exact quoted source text, the security requirement each statement may support, and what still needs verification.
Showing 201–220 of 1280 evidence records
Snyk Evo materials reviewed did not provide a public claim for enterprise-wide discovery of unapproved AI use.
Snyk Evo materials reviewed did not provide a public claim for embedded AI discovery across the business-application environment.
Snyk Evo claims discovery of AI assets in code and generation of a live AI bill of materials (AI-BOM).
Discover AI assets in code and generate a live AI-BOM.
Snyk Evo materials reviewed did not provide a public claim for policy enforcement over unapproved AI use.
Snyk Evo materials reviewed did not provide a public claim for inspection or enforcement over sensitive data moving through AI.
Snyk Evo materials reviewed did not provide a public claim for browser or software as a service (SaaS)-session controls for employee AI use.
Snyk Evo claims continuous security coverage across AI development and AI-native applications.
continuous visibility, governance, testing, and real-time control
Snyk Evo claims enforceable AI policy across development and CI/CD workflows.
Turn AI governance from documentation into enforceable policy across development and CI/CD.
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 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 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.
Snyk Evo claims visibility and governance over the tools, services, actions, and output of development agents.
securing what agents use, what they do, and what they generate
Snyk Evo materials reviewed did not provide a public claim for trust or policy enforcement between agents.
Snyk Evo materials reviewed did not provide a public claim for non-human identity, service-account, secret, or workload credential lifecycle controls.
Snyk Evo materials reviewed did not provide a public claim for agent registration, delegated authorization, task-scoped access, and revocation.
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
ModelOp materials reviewed did not provide a public claim for enterprise-wide discovery of unapproved AI use.
ModelOp materials reviewed did not provide a public claim for embedded AI discovery across the business-application environment.
ModelOp claims visibility into internal and vendor AI from a single enterprise system of record.
visibility into all internal and vendor AI
ModelOp materials reviewed did not provide a public claim for policy enforcement over unapproved AI use.