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Enterprise AI, explained for builders and buyers. Page 8 of 29

Practical writing on governed agent orchestration, on-premise AI, compliance, and the infrastructure decisions that separate pilot projects from production platforms.

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261 Articles
39 Topics
12 Featured
Hands typing on a laptop beside a desktop monitor, both screens showing code in a dark editor theme, the kind of workstation where engineers decide which tools an AI agent may call
AI Security 11 min read

Prompt Injection Prevention for AI Agents: Techniques, Controls and a Cheat Sheet

No filter catches every prompt injection, so prevention for AI agents means limiting what injected text can make an agent do. This guide covers direct and indirect injection, the layered controls that hold up, the research behind them and a one-page cheat sheet.

#AI security#AI agents#AI governance
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Two graphics cards standing upright side by side against a black background, a fitting picture for a head-to-head comparison of the servers that run language models on GPUs
AI Infrastructure 12 min read

vLLM vs Ollama vs llama.cpp vs SGLang: Choosing an LLM Inference Server in 2026

vLLM and SGLang are built to serve many users from data-centre GPUs; Ollama, llama.cpp and LM Studio are built to run models on one machine. This comparison puts them side by side with NVIDIA's Triton, Dynamo and TensorRT-LLM on batching, multi-GPU support, quantization formats, hardware, API, licence and operating effort, and ends with a decision table.

#vLLM#Ollama#llama.cpp
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Over-the-shoulder view of a person typing on a laptop that shows purple audio waveforms in an editing program, with a desktop microphone in the foreground, like a recording about to be turned into a transcript
AI Infrastructure 12 min read

Whisper On-Premise: How to Self-Host Speech to Text Without a Cloud API

A practical guide to on-premise speech to text with OpenAI Whisper in 2026: model sizes and VRAM, faster-whisper, whisper.cpp and WhisperX, NVIDIA and Azure alternatives, hallucination and accuracy caveats, word error rate testing and an air-gapped setup.

#on-premises AI#air-gapped AI#open-weight models
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Four colleagues around a meeting-room table reviewing a spreadsheet on a wall screen, representing a compliance review of EU AI Act Article 50 transparency duties for enterprise AI assistants
AI Compliance 6 min read

EU AI Act Article 50: What Enterprise AI Assistants, Chatbots and Agents Must Disclose

Article 50 of the EU AI Act has applied since 2 August 2026, whatever a system's risk class. Who counts as the provider when an enterprise builds its own assistant, what people must be told and when, how synthetic content is marked and labelled, and what evidence to keep.

#EU AI Act#AI compliance#AI governance
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Three padlocks of increasing size lit from red to green, one closed and two open, representing the graded safe and unsafe verdicts that open-weight guard models return inside an on-premises AI platform
AI Security 6 min read

Open-Weight Guard Models for On-Premises AI: Llama Guard, gpt-oss-safeguard, Qwen3Guard and Granite Guardian Compared

Guard models are safety classifiers that screen prompts, responses and agent actions. Which open-weight guard models an enterprise can run on its own infrastructure in 2026, what each one checks, where the checks belong in an agent pipeline, and what they cannot do.

#AI security#open-weight models#local LLM
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A row of compact computers racked side by side with blue network cables, representing the isolated execution environments that AI agents need when they run code in private infrastructure
AI Infrastructure 6 min read

Sandboxing AI Agents That Run Code: Containers, gVisor and MicroVMs in Private Infrastructure

An agent that writes and runs code is executing untrusted input on your infrastructure. How the isolation options compare, what a sandbox must control besides the kernel boundary, and how to run agent code execution safely inside an on-premises AI platform.

#AI security#enterprise AI agents#AI infrastructure
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A person watching several monitors of network and infrastructure dashboards, standing in for the single control point an AI gateway puts in front of model traffic
AI Infrastructure 12 min read

AI Gateway Comparison 2026: Kong, LiteLLM, Portkey, Cloudflare, Vercel, Azure, AWS and Self-Hosted Options

An LLM gateway comparison for platform and security teams: nine gateways checked against their own documentation for routing, limits, caching, guardrails, MCP support, licence and where they can run. Verified September 2026.

#AI gateway#LLM gateway#model routing
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A person holding printed technical documents, used here to stand for a side-by-side review of AI governance software
AI Governance 12 min read

Best AI Governance Tools in 2026: AI Governance Software Compared by What It Governs

A buyer's comparison of AI governance software, grouped by what each product actually governs: the inventory, the compliance workflow, the data underneath or the agent at runtime. Every vendor claim was checked against that vendor's own pages in September 2026.

#AI governance tools#AI governance software#AI risk management
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A laptop showing source code in an IDE on a wooden desk, representing a developer working with a coding model that runs on local hardware
Software Development 20 min read

Best Local LLMs for Coding in 2026: Open-Weight Models Compared

Ten open-weight coding models you can run on your own hardware, checked against their model cards in September 2026 and compared on license, parameters, context, tool calling, memory needs and the coding agents that can use them.

#local LLM#agentic coding#open-weight models
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