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This is the pitch to the board and the C-suite. It must be brutally concise, focused entirely on your business outcomes, not the technology. If the first page doesn't articulate value, the strategy dies. It immediately frames the initiative in terms of shareholder value and competitive advantage.…
AI spending is exploding across the organization—but often not in the ways leadership approved or finance can track. Development teams spin up LLM connections to ship features faster. Data teams provision GPU clusters for experiments that get abandoned. Multiple teams solve the same problem three…
Let's be honest about what's happening inside most enterprises right now. Development teams are under intense pressure to ship AI features. The mandate from leadership is clear: move fast. And so they do. They spin up LLM connections, integrate third-party AI tools, and route data to models without…
The report identifies a mindset trap that's holding most organizations back: "inside-out" integration thinking. Inside-out means viewing integration from the perspective of only prioritizing the reuse of legacy integrations and architecture (i.e., simply wrapping existing integrations with MCP and…
The first pillar is enablement. Developers need tools that reduce friction when building AI-powered applications and agents. This means providing: The goal isn't to replace existing development workflows but to extend them. Developers should be able to build agents using familiar paradigms while…
APIs are the connective tissue of digital products and services, and they're the lifeblood of AI. APIs shape customer experiences, power partner ecosystems, and accelerate enterprise innovation. As organizations double down on API-first strategies, one role is emerging as indispensable: the API…
The challenges of an acquisition frequently appear in a number of critical areas, especially when dealing with a platform as important as Kafka: Many organizations consider maintaining direct integration with their Kafka provider. However, compared to a direct coupling approach, an abstraction…
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…
A close examination of what really powers the AI prompt unveils two technologies: the large language models (LLMs) that empower agents with intelligence and the ecosystem of MCP tools to deliver capabilities to the agents. While LLMs make your agents smart, it would be hard to provide agents with…
Everyone's telling you to innovate faster with AI. Move quicker. Ship more features. Deploy more agents. But before we sprint headlong into the AI revolution, we need to have a proper dollars-and-cents conversation that most companies are avoiding. Disclaimer: Statistics cited in this post were…
The 2025 Gartner Magic Quadrant for API Management report was a great one for us here at Kong. We continue to move “up and to the right,” we remained in the “Leader” quadrant for the sixth year in a row, and we held our position as the “farthest right” on the “Completeness of vision”…
Consider the typical enterprise architecture in a relatively mature organization, an API management layer defines and deploys services to an API gateway, an Identity Provider (IDP) manages human user identities, and separate systems or at least separate control planes in the IDP handle…
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.…
If you're building distributed applications or working in cloud native development, you know that robust connectivity and API governance are the foundations for speed and scale. However, this also holds true in the realm of event streaming. Many top companies now depend on Apache Kafka and…
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…
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.