Apigee AI Gateway: Governing Models, Tools, and…
Every API gateway on the market now calls itself an AI gateway. In a single recent stretch, Kong shipped agent-to-agent…
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Deploying AI With Governance Built In: A Reference Architecture for the Enterprise
Getting an AI system into production is no longer the hard part. Keeping it governed once it is there is. The warning signs are already in the breach data. IBM's…
Read full blog → NeosProbe: AI-Generated API Test Suites for Functional, Security, and Performance Coverage
Ask an API team how well their APIs are tested and the answer usually splits in two. The functional tests exist, written when the API was first built, covering the…
Read full blog → Kong AI Gateway: What It Is, How It Works, and When It Is the Right Call
If your organization already runs Kong to manage APIs, the conversation about governing AI has likely already landed on your desk. Models are being called, token bills are arriving, and…
Read full blog → Unity Catalog Explained: Data Governance Across Delta Lake, Iceberg, and Multi-Cloud
Governance is the problem that grows quietly until it becomes the only problem. In the early days of a data platform, a handful of engineers know where everything lives and…
Read full blog → The Complete Guide to AI Gateways: How Enterprises Keep AI Secure, Governed, and Affordable
As enterprises move generative AI from pilot projects into production, the number of models, providers, and applications in use is growing faster than the controls around them. Different teams call…
Read full blog → NeosScribe: Automated, Always-Current Documentation for Enterprise Integration
Ask an integration team to share the documentation for a specific interface, and the response is rarely confident. Someone checks a wiki that was last touched at go-live. Someone else…
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