Govern the Full AI Data Path with Kong AI Gateway 3.14
Blog post from Kong
Kong AI Gateway 3.14 addresses the growing complexity of multi-agent AI workflows by providing comprehensive governance over agent-to-agent (A2A) communication, ensuring consistency in authentication, rate limiting, and observability across AI traffic. This release introduces native support for A2A traffic management, allowing enterprise teams to manage complex AI workflows involving multiple providers and services without altering application code. Key features include token exchange for finer permission control, scope-based tool filtering, JWK-based token validation, and body-based model routing, which decouples client requests from backend topology. Enhanced structured logging and global rate limiting offer improved visibility and control, while custom guardrails integration allows for third-party API connections for content safety. The release supports various AI models and platforms, such as Databricks, DeepSeek, and vLLM, providing a unified governance framework for diverse AI infrastructure components.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| MCP | 9 | 12,895 | 917 | 204 | +80% |
| LLM | 4 | 7,725 | 1,421 | 277 | -3% |
| Secrets Management | 4 | 2,182 | 459 | 135 | +6% |
| Observability | 3 | 5,365 | 1,022 | 211 | +12% |
| Multi-agent systems | 2 | 617 | 238 | 84 | -23% |
| Vector Search | 2 | 2,289 | 540 | 181 | -32% |
| RAG | 1 | 1,342 | 304 | 105 | -37% |
| Real-time | 1 | 8,062 | 1,858 | 308 | -46% |
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