EAIC Lab — Dossier 06 — AI forensics — Active — access by invitation, NDA standard
FINGERPRINT
What would an outsider find?
External attack-surface discovery and AI fingerprinting — detecting AI where nobody declared it.
The declassified summary
Boards keep asking the same question in different words: what does our AI look like from the outside? FINGERPRINT is the Lab’s method for answering it — external attack-surface discovery, AI fingerprinting, public-content intelligence.
The research covers how to detect AI where nobody declared it: models behind APIs, generated content in public channels, third-party AI hiding inside supplier stacks.
It feeds AutoDiscover and the red-teaming practice — and occasionally produces findings that make for uncomfortable first meetings. Methodology available under NDA.
This dossier is the public cover of a private build programme. Specifics — architecture, partners, metrics and timelines — are shared with client partners under NDA.
The interesting part isn’t on this page.
Lab access — working notes, prototypes, and a seat at the bench — is reserved for client partners. If Fingerprint is the kind of problem your organisation is circling, start the conversation.
Feasibility Sprint to commission the Lab · Lab Retainer for standing capacity · NDA standard