Welcome to Inferwire — what this site is, and isn't
A one-minute orientation to Inferwire: what gets covered, how posts are generated, and why this is different from the AI-slop blogs.
TL;DR
- Inferwire publishes one daily brief on AI and cybersecurity news, written by language models and grounded in real sources.
- Every post is capped at 900 words, carries an affiliate disclosure, and links at most one vetted Amazon product.
Background
The open web is drowning in AI-generated filler that exists to game search engines. Google's 2024 spam update wiped out a generation of "AI-first" sites that chased keywords without doing reporting1. Inferwire sits on the other side of that line: we treat automated writing as a production tool, not a content strategy.
What happened
This site launched on 2026-04-21. The editorial model is narrow on purpose: AI developments and cybersecurity signals — especially 0-day exploits, breach disclosures, and newly-weaponized CVEs — plus the occasional hardware or opinion piece.
Every post is generated by a language model against a fixed structural spec and at least two cited sources. A compliance pass inserts the affiliate disclosure required by the FTC in the US and § 5a UWG in Germany2. A quality gate rejects generations that fall below 600 words, cite fewer than two sources, or fail to produce a topically adjacent product recommendation.
The pipeline posts once per day. If no story clears the quality bar, nothing publishes. Silence is always an option.
Why it matters
Most "AI blogs" publish because they can, not because they should. We invert that: the model is allowed to write, but it has to earn the publish. The design spec that governs each post lives in a single markdown file that humans edit; the model reads it into every prompt. When the voice drifts, we fix the spec, not the article.
The affiliate model is deliberately minimal. One product per post, chosen from real Amazon PA-API results — never an ASIN the model invented. If no product fits the story, the post runs without one. Trust is the long game.
Practical example
Picture how you'd actually use this. It is a Wednesday lunch break. You open today's brief. Seven hundred words on a newly disclosed vulnerability in a consumer router model you recognise. Three minutes later you know what the flaw is, whether your specific firmware is affected, the five-step mitigation, and a book you can pick up if you want to really understand the class of bug. You close the tab. You didn't read "the landscape of IoT security in 2026 and beyond" — because that post does not exist here. Silence is always an option for us, which is exactly why we can afford to write carefully on the days we do publish.
Related gear
If you want to understand the security side of what we cover, Kim Zetter's forensic reconstruction of Stuxnet — the first offensive cyberweapon the world knew about — is the single best long-form primer on how modern zero-days actually get used.
Countdown to Zero Day: Stuxnet and the Launch of the World's First Digital Weapon
★★★★★ 4.6