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THE NET3 BLOG

Field notes from the AI infrastructure layer.

Practical guides on building, securing, observing, and scaling AI in production — written by the team building Net3.

LATESTVoice AIJuly 7, 20269 min read

Voice AI Agents: The Enterprise Guide to AI Phone Calls

Voice AI agents make and receive phone calls autonomously — for sales, support, collections, and appointment booking. Learn how they work, where they deliver ROI, and what separates enterprise-grade voice AI from demos.

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July 7, 2026

AI Agent Governance: Identity, Permissions, and Control at Scale

AI agents act autonomously — with your data, your tools, and your customers. Learn why agents need their own identities, how to scope and revoke their permissions, and the governance model that scales past your first thousand agents.

AI Identity9 min read
July 1, 2026

What Is an AI Gateway? The Complete Guide for 2026

An AI gateway is a unified API layer that connects applications to multiple AI model providers with routing, failover, caching, and cost controls. Learn how it works, why enterprises need one, and how to choose.

AI Infrastructure9 min read
June 24, 2026

Prompt Injection Attacks: How They Work and How to Stop Them

Prompt injection is the #1 security risk for LLM applications. Learn how direct and indirect injection attacks work, real-world examples, and the defense-in-depth architecture that stops them.

AI Security10 min read
June 17, 2026

LLM Observability: How to Monitor AI Applications in Production

LLM observability tracks latency, token usage, cost, errors, and output quality across AI applications. Learn the five signals that matter, why traditional APM misses them, and how to build AI monitoring that works.

AI Observability8 min read
June 10, 2026

LLM Cost Optimization: 9 Proven Strategies to Cut AI Spend

AI inference costs scale with success. Learn nine proven strategies to reduce LLM costs — model routing, semantic caching, prompt optimization, budgets, and more — without sacrificing quality.

AI Infrastructure9 min read
June 3, 2026

The Enterprise AI Security Checklist: 12 Controls Before You Ship

A practical AI security checklist for enterprises deploying LLM applications: prompt defense, data protection, identity, output controls, monitoring, and compliance — with clear owners for each control.

AI Security8 min read
May 27, 2026

What Is AI Infrastructure? The Enterprise Stack Explained

AI infrastructure is the layer of gateways, security, observability, identity, and deployment tooling that AI applications run on. Learn the six layers of the enterprise AI stack and why unified platforms are replacing tool sprawl.

AI Infrastructure9 min read
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