Your MCP servers are not ready for ID-JAG? @kong AI gateway is how the EMC standard meets reality, the same reason API auth ended up there. Don't need to change anything on the server/client side
The AI gateway produces the ID-JAG for the clients that can't, and enforces it in
Today we added a large enterprise customer running 1 trillion tokens per minute.
Agents and models are devouring APIs at machine speed. The internet is becoming the nervous system of digital intelligence — Kong is building the railroads for it.
P.S. If you drive by the 101,
⚡️ KAi v2 is live! ⚡️ KAi, the Kong Konnect agentic platform assistant, has gone from a knowledgable guide in v1 to something that can actually build inside your organization with guardrails that you control in v2.
With our new Konnect MCP Server, KAi can create, update, and
Gartner just released a new Magic Quadrant, and it's forcing the industry to answer a tough question:
What does AI governance actually mean?
In the new MQ, Gartner formalized AI governance as a distinct enterprise buying category, and they project the market will be worth
Did you catch our CTO and Co-Founder, @subnetmarco, on @MTSlive last week?
Check it out to hear his take on how there is already a bifurcation of a human-facing internet and an agent-facing internet (clip below 👇 ), the rising agentic economy, and more. Full episode here:
Token spend becoming a problem?
An AI gateway at the traffic layer gives you 3 levers that can drastically reduce token consumption.
1) Prompt Compression: strips unnecessary characters from a prompt before it ever reaches the foundation model.
2) Semantic Caching: caches
As GenAI reshapes enterprise automation, many teams have treated prompt engineering as the path to better AI. But prompt engineering alone can't defend against the inherent unpredictability of LLMs.
If you're moving AI into production, reliability has to come from architecture,
In the last few months at Kong, we've processed several trillion tokens through our AI gateway. Here's what we're seeing with enterprise AI usage:
1) AI request volume:
56% Anthropic
39% OpenAI
1.5% Gemini
(Huge surge from Anthropic over last 6 months to replace OpenAI as the
Limitations of tool use in AI models.
The importance of an AI context layer.
SaaS companies becoming an API key.
These are just a few of the topics our CEO and Co-Founder, @sonicaghi, spoke about on @MTSlive last week.
Check out the full convo 👉 bit.ly/3QDS2A4
SITUATION EXPLAINED: Have the human internet and the agent internet already split apart?
We asked @subnetmarco, CTO of @kong
"There is already a bifurcation. If we look at our properties right now, 80% of traffic is being driven by agents. It's not even being driven by humans
