Kong Gateway Enterprise 3.12.x.x EOL
Kong released Kong Gateway 3.16, adding runtime control, API monetization, and FIPS 140-3 support, the U.S. and Canadian government standard for validating cryptographic modules issued by NIST and CCC…
Kong released Kong Gateway 3.16, adding runtime control, API monetization, and FIPS 140-3 support, the U.S. and Canadian government standard for validating cryptographic modules issued by NIST and CCC…
A developer built an on-call MCP toolkit that lets Meta's Muse Code terminal coding agent perform the first ten minutes of an incident investigation while enforcing per-identity tool access at Kong AI…
Kong announced at API & AI Summit the evolution of Kong Konnect into an AI Connectivity Platform, with six launches mapped to what it calls the agent connectivity journey. Generally available now are …
Kong announced Kong Context Management, generally available as part of Kong AI Management, which uses a "Code Mode" approach to give AI agents access to enterprise APIs, MCP servers, and data sources …
Kong introduced the private beta of Kong Webhook Engine, a capability that lets applications and AI agents register for business events such as HTTP POST and Kafka events and be invoked when those eve…
Kong released AI Gateway 2.2, adding native support for TypeSafe JEV as a provider and format, support for Skills APIs, and a new passthrough mode for custom or non-standard AI interfaces such as vLLM…
Kong expanded its AI Gateway with new cost management capabilities that price AI interactions at the individual request level and attribute spend across models, providers, applications, teams, users, …
Kong introduced Token Vault for Kong Identity, a credential-brokering service that lets AI agents authenticate to Kong and have downstream credentials applied during authorized requests rather than st…
Kong previewed advanced AI observability capabilities in Kong Konnect that make the session, rather than the individual request, the unit of AI observability, according to Alex Drag, Kong's Head of Pr…
Kong introduced Kong AI Registry, an AI-native discovery layer that lets organizations register and govern models, MCP servers, agents, tools, resources, and skills so AI agents can discover and consu…
A comparison of five enterprise AI gateways — Bifrost, LiteLLM, Kong, Cloudflare, and Vercel — evaluates each against five procurement requirements: identity, authorization, auditability, isolation, a…
Kong released Kong Operator 2.3, adding full Kubernetes CRD support for Kong AI Gateway so teams can declare AI Gateway control planes, model providers, models, policies, authentication, and consumers…
A developer demonstrates how to secure Model Context Protocol (MCP) servers by placing Kong AI Gateway 2.0 in front of them, arguing that most MCP servers run with no authentication, per-tool authoriz…
Kong's AI Governance Gap Report, which analyzed millions of live production API calls, found that 99% of organizations lack AI-specific governance controls and 62% already spend across multiple models…
Kong introduced the Portal MCP Server, a governed, per-portal Model Context Protocol server that lets AI agents discover and read Kong Dev Portal pages and API specs in code mode instead of scraping H…
Kong published an enterprise guide arguing that AI governance requires pairing oversight tools with runtime enforcement, with AI gateways applying policy controls directly to live LLM, API, MCP, and a…
A developer surveyed five MCP gateway solutions — Bifrost, OpenRouter, Cloudflare AI Gateway, Kong AI Gateway, and LiteLLM — for managing Model Context Protocol servers at enterprise scale in 2026. Th…
Kong announced a rebrand, unveiling a new visual identity centered on an "electric lime" color and a new mascot named Karl, as the company repositions itself from an API connectivity company to an AI …
Kong and Straiker announced an integration that combines Kong AI Gateway's traffic enforcement with Straiker's agent-level security analysis, including Straiker's Agentic Kill Switch, which can revoke…
InfoWorld reports that AI bill shock is spreading across the industry, driven by opaque large language model (LLM) costs and poor attribution of spend to business value. The article recommends five to…