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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
Source captured0
No supporting claim found411
Excluded from evidence6

Showing 1–20 of 69 evidence records

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Akamai API SecurityApproved AI usage monitoringSource checkedLimited public support for this requirement

Akamai claims discovery and classification of application programming interfaces (APIs) connected to generative AI models, large language models (LLMs), and AI services.

Automatically discover, inventory, and tag all APIs connecting to GenAI models, LLMs, and AI services, including shadow and unmanaged endpoints
Related framework references (5)
Salt Agentic Security PlatformApproved AI usage monitoringSource checkedLimited public support for this requirement

Salt claims an inventory of AI-agent application programming interfaces (APIs), Model Context Protocol (MCP) servers, and large language model (LLM) integrations with usage and dependency context.

Discover AI agent APIs, MCP servers, and LLM integrations
Related framework references (5)
Imperva AI Application SecurityApproved AI usage monitoringSource checkedLimited public support for this requirement

Imperva claims inspection of inputs and outputs for protected enterprise-built generative AI applications.

analyzing all inputs and outputs
Related framework references (5)
Kong AI GatewayApproved AI usage monitoringSource checkedStrong public support for this requirement

Kong claims unified observability for application programming interface (API), large language model (LLM), Model Context Protocol (MCP), and per-agent consumption through its AI gateway.

unified observability for API, LLM, and MCP consumption
Related framework references (5)
Speakeasy AI Control PlaneApproved AI usage monitoringSource checkedStrong public support for this requirement

Speakeasy claims centralized provisioning and visibility for approved employee AI tools and agent access.

Every employee gets the right access from day one, with full visibility and control.
Related framework references (5)
Harness AI Security / TraceableApproved AI usage monitoringSource checkedLimited public support for this requirement

Harness claims continuous monitoring of AI application programming interface (API) traffic and an inventory of large language model (LLM), Model Context Protocol (MCP), AI application programming interface (API), and generative AI assets.

Automatically monitor all AI API traffic
Related framework references (5)
Wallarm AI Control PlatformApproved AI usage monitoringSource checkedLimited public support for this requirement

Wallarm AI Hypervisor claims capture of outbound AI-workload connections to large language models (LLMs), application programming interfaces (APIs), databases, and third-party services.

captures every outbound connection an AI workload makes on EKS
Related framework references (5)
Cequence AI GatewayApproved AI usage monitoringSource checkedStrong public support for this requirement

Cequence claims real-time AI-tool traffic visibility and audit logging of user, agent, tool, application, and application programming interface (API) behavior.

Real-time visibility into AI-tool traffic with full audit logging
Related framework references (5)
Upwind AI SecurityApproved AI usage monitoringSource checkedStrong public support for this requirement

Upwind claims its AI bill of materials (AI-BOM) inventories models, agent frameworks, libraries, vector stores, cloud AI services, and runtime dependencies.

unified inventory that connects all layers of the AI stack
Related framework references (5)
Proofpoint AI Security / AcuvityApproved AI usage monitoringSource checkedStrong public support for this requirement

Proofpoint claims runtime inspection and audit-ready evidence for employee interactions with enterprise AI.

produces audit-ready evidence of every employee interaction with AI
Related framework references (5)
Veeam / Securiti AIApproved AI usage monitoringSource checkedStrong public support for this requirement

Securiti claims collection of model details from software as a service (SaaS) and internal AI projects.

Collect AI model details from SaaS and internal projects
Related framework references (5)
LatticeFlow AIApproved AI usage monitoringSource checkedLimited public support for this requirement

LatticeFlow AI claims continuous discovery of AI endpoints, data sources, and connected components across cloud and on-premise environments.

Continuous Discovery across your AI Ecosystem
Related framework references (5)
KeycardApproved AI usage monitoringSource checkedLimited public support for this requirement

Keycard claims visibility and attribution for agent actions, tool calls, policy decisions, and data access.

See every action your agents take. Know exactly who authorized it.
Related framework references (5)
Google Cloud native AI securityApproved AI usage monitoringSource checkedLimited public support for this requirement

Google claims Cloud Logging can show Model Armor sanitization results for prompts and responses in Gemini Enterprise Agent Platform integration.

You need to enable Cloud Logging to view the sanitization results of prompts and responses.
Related framework references (5)
Microsoft native AI security beyond Purview DSPMApproved AI usage monitoringSource checkedStrong public support for this requirement

Microsoft claims Foundry Control Plane provides visibility, governance, and control for AI agents, models, and tools across a Foundry enterprise.

provides visibility, governance, and control for AI agents, models, and tools across your Foundry enterprise.
Related framework references (5)
Zscaler AI SecurityApproved AI usage monitoringSource checkedStrong public support for this requirement

Zscaler claims AI Access Security provides visibility into user interaction with AI apps, including prompt and response extraction and classification.

Get a clear view of how users interact with your apps, including deep insights with prompt/response extraction and classification.
Related framework references (5)
Palo Alto Networks Prisma AIRSApproved AI usage monitoringSource checkedStrong public support for this requirement

Palo Alto Networks claims Prisma AIRS provides visibility and control over AI data, agent and app integrity, and deployed model access.

Gain visibility and control over critical components of your AI data used for training or inference, the integrity of AI agents and apps, and access to deployed models.
Related framework references (5)