
What matters in the enterprise API world.
AI gateways extend traditional API infrastructure for the realities of LLM traffic: token-based pricing, variable latency, prompt security risks, and multi-provider routing. This guide explains what AI gateways actually do, how they differ from standard API gateways, and why observability, governance, and AI readiness are essential for operating AI-powered APIs in production.

Headless architecture is changing API observability forever. As AI agents replace traditional UIs, failures no longer surface through broken screens or user complaints. This article explores why traditional monitoring breaks down in headless environments and what modern API teams need instead: full payload visibility, consumer intelligence, real-time ingestion, and predictive runtime observability.


API security in financial services means having complete, request-level visibility into what data is being exchanged, with whom, and whether that exchange matches what was intended, not just whether traffic is flowing.

Treblle 4.0 introduces API Discovery, Runtime Intelligence, Customer Insights, and AI Agents—giving teams complete visibility and control across the entire API lifecycle from one platform.

Microsoft reported that their API observability fails at the AI (Agentic) level. We explain what fails, why, and how you can fix it.

API management is about APIs running correctly, while API governance is about defining that "right way."

Real request data on API governance. What it is, why it fails at scale, five pillars to make it work, and a 90-day roadmap

CodeWall’s autonomous AI agent hacked Lilli, McKinsey's internal AI platform, in less than 2 hours.
All Systems Operational
Gartner: Magic Quadrant, 2025
Gartner AI API Strategy, 2025
Everest Group: Enterprise App Integration Platforms, 2026