Ingenious AI

Guides

Field notes from building AI security tools

Every platform in this fleet exists because of a specific way AI products fail in production. These guides are the written version of what building — and operating — those tools taught us: the law as it actually applies, the attacks as they actually arrive, and the working routines we'd hand a team shipping AI today. No summaries of other people's summaries; each guide is written from the operator's side of one problem.

This library opened on 1 November 2026. Every guide is dated; when a guide is revised, its date changes.

G1

EU AI Act Article 50: what you must disclose

The transparency duties that reach ordinary product teams — chatbots, generated media, public-interest text — with three worked examples and the evidence trail that proves compliance when an auditor asks.

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Published 1 November 2026

G2

Prompt injection defense: layers that hold

Direct, indirect, tool-call hijack and egress exfiltration — the four attack shapes, one fully worked indirect injection, and the structural defenses (least-privilege tools, egress control, approval gates) that reduce injection to a managed risk.

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Published 1 November 2026

G3

AI vendor terms changes: clauses that move your risk

Vendors rewrite the contract under your product with a web-page edit. The five clauses that actually matter — training use, retention, subprocessors, hidden model changes, liability — and a monitoring workflow a small team can really run.

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Published 1 November 2026

G4

Lookalike domains: find the fakes, take them down

Typosquats, combosquats and homoglyphs feed most brand phishing. How the fakes are generated, how certificate-transparency watching spots them before the campaign, and the evidence pack that makes registrar and host takedowns move in hours.

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Published 1 November 2026

G5

Agent audit trails: hash-chained logs

What to record for every agent action, how SHA-256 hash chaining makes a log tamper-evident — walked through a three-entry example, edit and all — and how replay and incident review work when the trail can be trusted.

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Published 1 November 2026

G6

The model deprecation playbook

Announced retirements, alias drift and silent behaviour changes: how models change underneath a product, how golden-set evals catch it before users do, and the pinning/fallback drill that turns a forced migration into routine maintenance.

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Published 1 November 2026

How these guides relate to the fleet

Each guide covers the problem one of our platforms handles in production, and links to it where the tool genuinely helps — the guide stands on its own if you never click. The fleet's premise is one tool per failure point; this library is the same premise in prose: one problem per page, covered to the depth we'd want if we were solving it for the first time. Start with the failure that is closest to your launch date.

Questions, corrections, or a problem we should write up next: the contact page reaches the team that wrote these.