The AI boom has a dirty secret: for most enterprises, it's bleeding money. Every LLM call, every agent invocation, every API request that powers your AI products — they all cost something. And right now, most organizations have no idea what they're spending, who's spending it, or how to control…
Kong Cloud Gateways are fully managed, high-performance data planes running on customer-dedicated infrastructure, orchestrated and operated by Kong through Kong Konnect . Customers can choose between: Together, these models give organizations the flexibility to run Kong where it makes the most…
Companies are charging headfirst into AI, with research around agentic AI in the enterprise finding as many as 9 out of 10 organizations are actively working to adopt AI agents. LLMs are being deployed, agentic workflows are getting created left and right, and the promises of what this technology…
The Requirement : Article 10 of the EU AI Act mandates strict data governance for high-risk AI systems. This includes error detection, bias monitoring, and arguably most critically for enterprise use — ensuring that sensitive personal data (PII) is not improperly processed or leaked into public…
Feed Agents (and humans, too) with *all* of your APIs While multi-gateway vendor deployments have been found to be lacking as a long-term strategy, the reality is that every large organization is — at some point — going to struggle with trying to wrangle APIs across multiple API gateway solutions.…
Organizations are gradually realizing that API and AI observability aren't two separate problems; they're intertwined and require unified solutions. Without waiting on engineering, it's hard to answer simple questions like "Who's using my APIs?" or "Which APIs are causing the most issues?" Now…
Control Plane Groups in Kong Konnect provide a structured way to manage multiple control planes within a single organization. Think of it as a federated approach: different teams can deploy and manage their own APIs while still adhering to overarching policies set by a central governance team.…
It's natural to consider the necessity of guardrails for your sophisticated AI implementations. The truth is, much like any powerful technology, AI requires a set of protective measures to ensure its reliability and integrity. These guardrails aren't just a good idea; they are fundamental for…
In February 2024, Kong became the first API platform to launch a dedicated AI gateway, designed to bring production-grade performance, observability, and policy enforcement to GenAI workloads. At its core, Kong’s AI Gateway provides a universal API to enable platform teams to centrally secure and…
As organizations continue to adopt AI-driven applications, managing usage and costs becomes more critical. Large language models (LLMs), such as those provided by OpenAI, Google, Anthropic, and Mistral, can incur significant expenses when overused. This blog will explore how you can streamline your…
The explosion of AI-native applications is upon us. With each new week, massive innovations are being made in how AI-centric applications are being built. There are a variety of tools developers need to consider, be it supplying live contextual data via the Model Context Protocol (MCP) or…
APIs are the lifeblood of disruption . . . when leveraged correctly. The best, most disruptive businesses are able to harness API growth as a strategic opportunity. But how? With an API platform that drives innovation, faster delivery, and top-tier customer experiences alongside a top-notch…
AI is quickly transforming the way businesses operate, turning what was once futuristic into everyday reality. However, we're still in the early innings of AI, and there are still several key limitations with AI that organizations should remain aware of to ensure that AI is being leveraged in a…
LLMs operate as highly capable, non-deterministic pattern matchers. But they come with two significant privacy challenges: If you pass raw user input, internal logs, or structured data directly into an LLM without safeguards, you’re risking the exposure of names, emails, credit cards, health info,…
As the need for speed in business can seemingly be at odds with the need for control, organizations developing APIs today face a critical challenge: how can you empower developers to build and deploy APIs quickly while maintaining enterprise-wide governance and security? More traditional API…
While AI is revolutionizing the future of nearly every industry, it’s also created a unique set of challenges and liabilities that will need to be addressed as the area grows. Enter AI governance: a set of rules and best practices to ensure that AI is used effectively, securely, and responsibly.…
Secure your AI infrastructure with prompt guards, PII sanitization, and centralized governance. Control LLM costs with token-based rate limiting and semantic routing across providers.