What does it actually take to support AI agents in production? From identity controls to observability, this article outlines the key building blocks for a secure agentic future. https://t.co/o9lmyGa4BN
At enterprise scale, managing growing numbers of MCP servers is no small task. Like API sprawl, it requires strong cataloging and governance layers. https://t.co/tFM36PowS7
As AI agents take on more responsibility, consistency becomes critical. Deterministic API context offers a path to more reliable, secure, and production-ready API integrations. https://t.co/v6KcYcqHiO
How do we reduce the risks of autonomous AI agents? API security provides the control layer needed to govern access, enforce consent, and prevent misuse. Gary Archer breaks it down on the blog. https://t.co/AuTV7EK39n
Manual security reviews, traditional observability, and API keys are not going to cut it for MCP usage at scale. Here's what sort of governance controls are necessary for MCP adoption within the enterprise. https://t.co/nfZGwfqAaH
Reaching global users takes more than language support. Translation and localization APIs now adapt currencies, formats, and user experiences. Here's how developers are using them to build for international markets. https://t.co/64LlK8OyCv
Will AI replace SaaS? What we know for sure is that APIs are becoming more important than ever. Art Anthony explores why APIs are the battleground on which this shift is playing out. https://t.co/E7dRccO8N3
We often hear about which API vulnerabilities are the most common. But which ones can cause the most damage? Today, J Simpson outlines five disastrous API vulnerabilities to keep in mind. https://t.co/0XLlGNYCIG
Token handling is shifting in the AI era. Here's how real-time authorization, short-lived tokens, and scoped permissions help ensure safer access for AI-driven systems. https://t.co/bqqno338EX
Architectural thinking means planning for longevity, anticipating failure, and making better decisions. Here's why systems thinking is essential for API developers looking to level up. https://t.co/LtwIpyNh1Z
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Systems are becoming less deterministic and more unpredictable. Kristopher Sandoval outlines common agentic AI failure modes, from unexpected actions to token overuse and destructive operations. https://t.co/hFfiObHo3Y
What does it take to manage multiple, often disparate APIs at scale? API catalogs, governance, shared standards, real-time monitoring, and more, says J Simpson. https://t.co/VJ62uKUw3S
What do reports, research, and industry benchmarks say about the state of MCP? Here are 10 compelling data points that paint a holistic picture. https://t.co/v3WzpyGOWE
The SaaS companies best positioned for the next wave of software consumption aren't the ones with the fanciest dashboards, but the most robust APIs, explains Art Anthony on the blog. https://t.co/E7dRccO8N3
🎙️ Big news! Our first round of speakers is announced for this year's Summit! Check the event page to see who will be gracing the Nordic APIs Summit 2026 stage. https://t.co/OYnVuqXO1L
APIs are shifting from developer-focused interfaces to agent-focused capabilities. What does this mean for the API economy? Bill Doerrfeld shares key takeaways from the latest Apidays event. https://t.co/tGpYBfHTGi
The average enterprise now manages 1,400 APIs, says F5. How can an organization fathom managing them all? J Simpson provides some tips for multi-API management on the blog. https://t.co/VJ62uKUw3S