The most visible behavioral biometrics tools on Gemini, October 2026

October 2026 · 15 questions asked in English, worldwide · Gemini · 20 answers read

Where engines disagree most

One engine

This page reads Gemini only. Set Engine to All to compare them.

Brands

Rank Brand Heralded Score Mentioned Recommended By engine Mentioned by Change
= 1 LexisNexis ThreatMetrix US 26 , range 14–45 23% 0% First reading
= 1 Sift US 26 , range 14–45 23% 0% First reading
3 BioCatch IL 23 , range 12–43 20% 0% First reading
4 Featurespace GB 17 , range 8–40 13% 0% First reading
5 Feedzai PT 14 , range 5–39 10% 0% First reading
– BehavioSec SE Too few answers 0% 0% None First reading
– Bureau ID IN Too few answers 7% 0% None First reading
– Callsign GB Too few answers 0% 0% None First reading
– Castle Too few answers 0% 0% None First reading
– CrossClassify Too few answers 0% 0% None First reading

“=” marks brands whose score ranges overlap, so the test cannot separate them. Every brand named in at least three answers is ranked. By engine has one dot per engine (ChatGPT, Google AI Overviews, Gemini and Google AI Mode), darker the more often it names the brand.

Most cited sources

Rank Source Type Cited in Engines Pages cited Brands its pages mention
1 fingerprint.com Vendor site 30.0% 1 of 4 2 4
2Withheld. Run a full Snapshot to see it.
3 gartner.com Industry authority 15.0% 1 of 4 1 5
4 datadome.co Vendor site 10.0% 1 of 4 1 Not read
5 entrust.com Vendor site 10.0% 1 of 4 1 0
6Withheld. Run a full Snapshot to see it.
7Withheld. Run a full Snapshot to see it.
8Withheld. Run a full Snapshot to see it.
9 oloid.com Vendor site 10.0% 1 of 4 2 2
10 shadowdragon.io Vendor site 10.0% 1 of 4 1 7

The questions, and who wins each

QuestionLanguageWins it
what software helps detect account takeover from how users type and move English No brand recommended
which tools can spot online fraud by analyzing user behavior English No brand recommended
how can a bank identify risky logins without adding friction for customers English No brand recommended
what can help an ecommerce team detect bots and account takeover from user behavior English No brand recommended
how do i detect account takeover using typing and mouse behavior English No brand recommended
how can we tell a real customer from a fraudster during a login English No brand recommended
how do i flag suspicious sessions without relying only on passwords English No brand recommended
how can my team spot automated attacks by analyzing how people use a site English No brand recommended
behavioral signals or device checks for detecting account takeover English No brand recommended
passive user behavior analysis or extra login verification for fraud prevention English No brand recommended

Each engine's top three

Method

Each month Heralded asks every engine the same buyer questions, twice each, and reads every answer. An answer counts 0 for a brand it leaves out, 50 for a brand it names and 100 for a brand it recommends, and the Heralded Score is built from those. A brand named in at least three answers gets a score and a place.

How the leaderboards are measured