Provider profile · 2026 edition
BioCatch review 2026: scores, pricing and alternatives.
A behavioural intelligence provider used by retail banks to detect account opening fraud, account takeover, social engineering scams and mule accounts.
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A behavioural intelligence provider used by retail banks to detect account opening fraud, account takeover, social engineering scams and mule accounts.
BioCatch scores 2.5 out of 5 (51 out of 100) in the Buckingham Intelligence Fraud Prevention Index 2026 and ranks 9 of 13. It is strongest for retail banks fighting scams, mule accounts and account takeover, and its best criterion is fraud coverage at 4 out of 5. Not published or not stated on the pages read: coverage, pricing, operations, detection signals and integration.
Scores from the Fraud Prevention Index 2026.
No award in the Fraud Prevention Index 2026.
| Segment | Score out of 100 | Rank |
|---|---|---|
| For banks and lenders | 61 | 5 of 13 |
| For payment and e-money firms | 50 | 9 of 13 |
| For fintechs and marketplaces | 42 | 8 of 13 |
The score out of 5 is the overall score out of 100 divided by 20. Leader goes to the top three overall, Best for to the first in each segment, and Top rated for to a score of 5 out of 5 on a criterion. Awards cannot be bought.
Where it scores best, and where to check closely, as shown in each ranking.
Retail banks fighting scams, mule accounts and account takeover.
What BioCatch publishes on its own pages, read on 26 October 2026.
A behavioural intelligence provider used by retail banks to detect account opening fraud, account takeover, social engineering scams and mule accounts. It publishes both main security certifications and a wide bank client base. It publishes no prices, rules tools or integration details on the pages read.
| Fact | What the provider publishes |
|---|---|
| Coverage | BioCatch Connect detects "account opening fraud, account takeover, social engineering scams, and mule accounts" and assesses receiving accounts "before payments are completed". Chargebacks not published. |
| Pricing | Not published on the pages read. |
| Signals | Analyses "thousands of applications, behavioral, device, network, and transactional signals"; detects "hesitation, confusion, and external pressure"; "collaborative intelligence network that operates without sharing personally identifiable information". |
| Operations | "Real-time Decisioning" referenced; no rules, case management or reporting tools published on the pages read. |
| Integration | "Align SDK" named; no API documentation, trial or go-live time on the pages read. |
| Security and clients | "Fully compliant with GDPR, SOC 2 Type 2, and ISO 27001". "Trusted by 350+ of the world's most innovative, forward-thinking retail banks"; logos include Barclays, HSBC, NAB, Scotiabank and TSB. |
| Date read | 26 October 2026 |
A fact that is not published is scored as not offered or, for a fee, as if it were high. It is never estimated.
Facts read on 26 October 2026 from: biocatch.com, biocatch.com/trust, biocatch.com/what-we-do.
Each score with the evidence behind it.
Each criterion is scored 0 to 5 against the best published offer in the Fraud Prevention Index. 0 means not offered or not published. How it is scored
The other providers in the same ranking, ordered by score.
| Provider | Score out of 5 | Rank | Strongest for |
|---|---|---|---|
| SEON | 3.9 | 1 of 13 | Payment and fintech firms wanting a published monthly price and fast set-up |
| Stripe Radar | 3.0 | 2 of 13 | Firms already processing card payments with Stripe |
| Unit21 | 2.9 | 3 of 13 | US banks and fintechs needing fraud rules, investigations and SAR filing together |
| Fingerprint | 2.8 | 4 of 13 | Fintechs wanting device recognition with clear self-serve prices |
| Oscilar | 2.6 | 5 of 13 | US fintechs and payment firms wanting backtesting and case management together |
| Sardine | 2.6 | 6 of 13 | Fintechs and banks combining fraud, scams and AML in one system |
| Feedzai | 2.6 | 7 of 13 | Large banks needing scam prevention and onboarding risk on one platform |
| DataVisor | 2.6 | 8 of 13 | Banks and credit unions wanting unsupervised machine learning and case tools |
| Ravelin | 2.2 | 10 of 13 | Payment providers and online merchants fighting card fraud and chargebacks |
| Sift | 2.1 | 11 of 13 | Fintechs and marketplaces wanting a large shared data network |
| SHIELD | 2.0 | 12 of 13 | Asian e-wallets and apps stopping fake accounts at sign-up and login |
| Bureau | 1.6 | 13 of 13 | Indian lenders and marketplaces stopping fake applications at onboarding |
Side by side on every criterion, fact and award.
Head-to-head comparisons cover pairs within the top five of each ranking. BioCatch is compared with its alternatives in the table above.
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