Vannus / Catalog / Abnormal AI

Abnormal AI A- Sovereign

Graded A- on resilience. In Vannus's assessment it has not disclosed which model it runs — builds its own AI or is not captured by any single model provider.

Behavioural AI email and cloud-application security — detects business email compromise, account takeover and social-engineering attacks. The terms of service name "Abnormal AI, Inc.", 8474 Rozita Lee Ave, Suite 420, Las Vegas, NV 89113, United States, with default governing law the State of California (England and Wales for UK customers, Ireland for European customers, New South Wales for APAC).

security, AI, enterprise
Model provenance

Not disclosed. Abnormal AI does not publish which model it runs, so this criterion is excluded and the grade rests on what we could verify. We say so rather than guess.

Who controls it
Verified Domestic Infrastructure
OriginUSA
Data jurisdictionUS
Within U.S. CLOUD Act reachYes
Trains on your dataYes, unless you opt out

This is a separate question from the grade above. The grade measures resilience — whether the tool endures and whether you could leave it. This measures who can compel your data. A tool can score modestly on one and strongly on the other, and many do.

Signals on file
Origin
United States
US legal control
Yes — exposed to US CLOUD Act / CFIUS
Training on your data
Trains on your data unless you opt out

The vendor's published or catalog-recorded posture — the concrete facts this grade is built from. A full audit verifies each against the vendor's current documentation.

Compliance signals on file
ISO 27001ISO 27701ISO 42001SOC 2 Type 2
How this grade is set

Vannus grades Abnormal AI against nine dimensions of trust — data sovereignty, training privacy, compliance posture, operational resilience, exit portability, and more. The heaviest criterion asks whether the tool builds its own AI or resells someone else's model; where the vendor discloses it, the grade cites the vendor's own documentation. No paid placements — scoring is walled off from affiliate revenue. See the methodology →

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