Kong AI Gateway materials reviewed did not provide a public claim for workforce discovery of unmanaged AI tools, accounts, users, and usage.
No quoted source text is recorded for this claim.
Public-source research
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Showing 1–19 of 19 evidence records
Clear all filtersKong AI Gateway materials reviewed did not provide a public claim for AI-feature discovery across the enterprise business-application environment.
No quoted source text is recorded for this claim.
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
Kong AI Gateway materials reviewed did not provide a public claim for blocking, coaching, redirecting, or containing unapproved AI use.
No quoted source text is recorded for this claim.
Kong claims built-in PII sanitization that prevents sensitive data from reaching an large language model (LLM).
sensitive data never leaks into an LLM
Kong AI Gateway materials reviewed did not provide a public claim for session-level browser or software as a service (SaaS) controls for employee AI use.
No quoted source text is recorded for this claim.
Kong claims standardized PII, authorization, and prompt guardrails for large language model (LLM) and agent applications.
PII sanitization, authorization, prompt guards
Kong AI Gateway materials reviewed did not provide a public claim for AI inventory, risk, approval, exception, and compliance workflows.
No quoted source text is recorded for this claim.
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.
Kong AI Gateway materials reviewed did not provide a public claim for model and AI-artifact supply-chain inspection.
No quoted source text is recorded for this claim.
Kong claims one governance layer across large language model (LLM) calls, Model Context Protocol (MCP) tool access, application programming interface (API) traffic, events, and agent-to-agent (A2A) communication.
single governance layer across the entire stack
Kong claims unified observation of large language model (LLM) calls, Model Context Protocol (MCP) tool invocations, and agent-to-agent (A2A) communication.
observe LLM calls, MCP tool invocations, and A2A communication
Kong claims control and observation of agent-to-agent communication over agent-to-agent (A2A).
Control and observe agent-to-agent communication over the A2A protocol
Kong AI Gateway materials reviewed did not provide a public claim for non-human identity and machine-credential lifecycle controls.
No quoted source text is recorded for this claim.
Kong claims identity verification and enforcement for agents participating in agent-to-agent (A2A) workflows.
Verify and enforce identity for every agent in your workflows
Kong AI Gateway materials reviewed did not provide a public claim for coding-agent, integrated development environment (IDE), CLI, workstation, tool, and package-action governance.
No quoted source text is recorded for this claim.
Kong claims per-agent token and resource tracking for cost allocation.
Track token consumption and resource usage at the agent level
Kong states that Agent Gateway is included for Kong Konnect customers as part of AI Gateway.
available now for all Kong Konnect customers as part of Kong AI Gateway
Related framework references (2)
Kong positions AI Gateway as an external control layer between applications, models, tools, and agents.
traffic between your applications and large language models