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Insights for API governance and platform teams
Ideas and patterns for shipping APIs safely—lifecycle, gateway policy, workflows, developer portal, observability, and AI agent access—without vendor lock-in.
Written for platform, security, and integration leads who run Zerq on-prem, hybrid, or cloud.
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Articles
- API inventory is the first step to governance—especially when no one owns the full map
- api-management
- security
- governance
Undocumented and forgotten endpoints are a structural risk. Here is how teams move from sprawl to a catalog you can enforce at the edge.
Read article - API gateway vs. AI gateway: why you shouldn't run two separate things
- platform
- api-management
- ai
A second gateway for AI traffic doubles policy, keys, and logs. Route assistants through the same edge as REST—same auth, limits, and audit—instead of parallel stacks.
Read article - Your API gateway is probably logging the wrong things. Here's what your compliance team actually needs.
- observability
- compliance
- api-management
Most teams log API requests for debugging. Compliance teams need something different — a filterable audit trail that can answer 'who accessed what, when' on demand. Here's the gap, and how to close it.
Read article - API Compliance for Healthcare: Data Residency, Audit Logs, and Role-Based Access
- healthcare
- hipaa
- compliance
Healthcare APIs carry PHI. That means HIPAA audit requirements, strict data residency rules, and role-based access that goes beyond 'authenticated or not'. Here's what your API gateway layer needs to get right.
Read article - No internet. No cloud. No problem: deploying an API gateway in an air-gapped environment.
- deployment
- security
- government
Government, defence, and regulated healthcare organisations need API gateways that operate with zero outbound connectivity. Here's what that actually requires — and where most cloud-first gateways fail.
Read article - Air-gapped AI: how to run LLMs in secure environments without sacrificing control
- ai
- security
- deployment
Offline networks need APIs, audit, and inference inside the boundary—not shadow SaaS. Separate data plane, model custody, and gateway enforcement so control stays provable.
Read article - Why 30%+ of New API Demand Is Now Coming From AI — And What That Changes for Your Gateway
- ai
- api-management
- capacity
Gartner projects that by 2026, more than 30% of the increase in API demand will come from AI tools using LLMs. AI traffic has different burst patterns, call depths, and credential models than human app traffic. Most gateways were not designed for it.
Read article - AI-Assisted Anomaly Detection in Your API Traffic — What to Look For and How to Act
- observability
- ai
- anomaly-detection
Zerq uses AI-assisted insights to suggest rate limits, access policies, and workflow improvements, and detects anomalies in traffic patterns with alerts when usage deviates from baseline. Here is how the detection and response workflow actually operates.
Read article - Give AI agents the same front door as your apps—because audit beats novelty
- ai
- security
- governance
Route agent traffic through the gateway so tokens, rate limits, logs, and policy stay one story for security teams and regulators.
Read article