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While every organization races to deploy AI agents faster, finance departments are watching something alarming unfold—and it will play a large part in determining who survives the agentic era. The numbers are stark: 84% of companies report more than 6% gross margin erosion from AI costs. Within…
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While every organization races to deploy AI agents faster, a quieter crisis is compounding in the background, and it will play a large part in determining who survives the agentic era. The numbers are stark. Too many executives see AI governance as a brake on innovation or something to figure out…
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Gartner just published research that should be required reading for every platform and infrastructure leader building for the agentic era. The report, " How to Enable Agentic AI via API-Based Integration ," makes a stark claim: incrementally reworking existing APIs and connector-based integrations…
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The agentic era is here, and it's exposing a critical gap in enterprise infrastructure. AI agents are no longer experimental. As many as 9 out of 10 enterprise organizations are actively adopting AI agents. Agents are making autonomous decisions, orchestrating complex workflows, and interacting…
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As APIs evolve into the strategic connective tissue of digital products and AI, organizations often fail to unlock their value due to a critical misalignment between business goals and technical execution. To transform APIs into genuine growth levers, enterprises must embrace full-lifecycle API…
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The messaging and data streaming industries are constantly evolving, with major shifts such as large vendor purchases. If your company relies heavily on a platform such as Apache Kafka and you recently discovered that your vendor was acquired by a competitor, you are most likely dealing with a…
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Companies are rapidly adopting AI, but it's not all roses. The excitement comes with significant risks, such as shadow AI, runaway costs, and security nightmares. This post explores the real challenges organizations face in AI governance today and highlights how forward-thinking companies are…
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The EU AI Act is here, and for many enterprises, it represents a massive coordination challenge. As the world’s first comprehensive AI law, it mandates strict governance on transparency, risk management, and data quality. For platform engineers and architects, the immediate question is operational:…
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A burgeoning cutting-edge technology has been fundamentally transforming how we build automation inside disruptive businesses: agentic AI. The impact of agentic AI is already shaping up to be massive. And agentic adoption is soaring: Kong's Agentic AI in the Enterprise report found that, of those…
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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…
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Disclaimer: All of the opinions stated in this blog are my own and do not represent official Gartner opinions on the API Management and Integration markets or the Magic Quadrant report itself. The 2025 Gartner Magic Quadrant for API Management report was a great one for us here at Kong. We continue…
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APIs empower every enterprise function, starting from seamless customer experiences to efficient internal operations. As a matter of fact, APIs are the foundational technology that fuels the advancements in AI, MCP, agentic, and autonomous systems. They're the critical connective tissue that allows…
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While more and more organizations are seeking to standardize and consolidate their API and AI infrastructure efforts in a unified platform , the reality is that many — especially large — organizations already have disparate API deployments across disparate API gateways. One common API gateway that…
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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…
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Disruptive businesses are understandably rushing to deploy AI-native applications alongside traditional API infrastructure. However, managing observability across both domains (API and AI) while keeping a tab on performance visibility and operational control remains a pressing challenge. AI…
[](/blog/enterprise/observability-gap-between-api-ai-monitoring)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.