Discover the future of intelligent API traffic management. Learn how AI-powered gateways enable smarter routing, adaptive security, and real-time decision-making to optimize and secure API ecosystems.
Production AI no longer generates one kind of traffic. It generates four patterns, and most teams govern only one. AI traffic management starts with a single decision: proxy AI traffic through one control point instead of letting it flow straight from application code to model providers. Skip that…
We have big news for platform and AI infra teams: Kong AI Gateway 2.0 is available today in private beta . It runs on its own dedicated runtime, ships on its own release cadence, and carries a completely reimagined user experience designed around the way teams actually build with AI: models, MCP…
Gartner recently published its inaugural Magic Quadrant for AI Governance Platforms (AIGP) — a signal that the AI governance category has graduated from analyst speculation to something enterprises are actively buying. Thirteen vendors were formally evaluated. The market is projected to grow from…
The MCP demo impressed the room. Then someone asked how 5,000 employees would connect to 40 MCP servers, and the answer was: one OAuth consent screen at a time. Per user. Per server. No central policy, no unified audit trail, and nothing stopping a personal account from getting wired into a work…
Enterprise AI adoption is accelerating. In PwC's April 2025 survey of 308 US business executives, 88% said they plan to increase AI-related budgets in the next 12 months [1]. But scaling AI from pilot to production exposes a structural problem most teams discover too late: direct LLM API…
In late June 2026, two of the most widely used AI agent platforms were compromised within the same week. Langflow disclosed a critical unauthenticated remote code execution flaw. Dify, powering over one million applications, revealed four vulnerabilities that exposed private conversations and…
LLM provider switching went from a theoretical concern to an operational emergency in June 2026, when Anthropic disabled Claude Fable 5 and Mythos 5 following a US government directive [3][6]. The shutdown was swift, with access suspended just days after the models launched. Enterprises that had…
AI has moved from the pilot phase into production, where it approves loans, screens patients, and routes customer traffic in real time. That shift raises the stakes: a model that misbehaves is no longer a demo problem, it's a business risk. AI governance is the control layer that keeps those…
This is part of a three-part series. For the full story, see Your AI Agent Knows What, It Doesn't Know Why and The Case for Kafka as the Agent's Memory Layer . We made the case for why agentic AI systems need a durable commit log rather than static state snapshots. The argument is…
This is part of a three-part series. For the full story, see Your AI Agent Knows What, It Doesn't Know Why and Building the Agentic Commit Log . Once you accept that agentic AI systems need a durable commit log — an ordered, immutable record of every tool call, decision, and context shift —…
AI agents are spreading across organizations rapidly. Each agent needs secure access to different Model Context Protocol (MCP) servers. Authentication becomes complex. Scaling creates bottlenecks. The dreaded "too many endpoints" problem emerges. You face a classic AI infrastructure headache. The…
Customers today face significant challenges as their Kubernetes environments scale. The proliferation of microservices, external integrations, and new AI workloads increases traffic volume and connectivity complexity, creating material risks to performance and availability. The core issue is a lack…
This is part of a three-part series. For the full story, see Building the Agentic Commit Log and The Case for Kafka as the Agent's Memory Layer . There's a reason we don't find our keys by scanning every room like a security camera. We replay the tape. We remember the groceries, the front…
Your AI infrastructure is producing financial signals your CFO has never seen. Token consumption is a direct cost line item. Cache hit rate is a margin improvement. Model routing decisions are cost arbitrage events. These things are happening right now, in the gateway layer, with no route to the…
Key takeaways - An MCP server is a lightweight process that exposes tools, resources, and prompts to AI applications over a standardized protocol. - It acts as the bridge between an LLM-powered client and an external system — a database, API, file system, or SaaS product. - The protocol…
Three-quarters of enterprises are now piloting or deploying AI agents. But here’s the problem: actually integrating those agents with enterprise applications is proving to be one of the hardest parts of the whole endeavor. That’s the core finding of a recent Gartner research note, How to Integrate…