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A risk platform that combines device, behaviour, identity, network and transaction signals for onboarding, authentication and payments.
Bureau scores 1.6 out of 5 (32 out of 100) in the Buckingham Intelligence Fraud Prevention Index 2026 and ranks 13 of 13. It is strongest for indian lenders and marketplaces stopping fake applications at onboarding, and its best criterion is fraud coverage at 3 out of 5. Not published or not stated on the pages read: coverage, pricing, detection signals and security and clients.
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 | 38 | 13 of 13 |
| For payment and e-money firms | 32 | 13 of 13 |
| For fintechs and marketplaces | 25 | 13 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.
Indian lenders and marketplaces stopping fake applications at onboarding.
What Bureau publishes on its own pages, read on 26 October 2026.
A risk platform that combines device, behaviour, identity, network and transaction signals for onboarding, authentication and payments. It names lending and marketplace clients. It publishes no prices, rules tools, integration details or certifications on the page read.
| Fact | What the provider publishes |
|---|---|
| Coverage | "Real-time risk decisions across every digital touchpoint, onboarding, authentication, and payments"; client quote: "we identified 20% more fake applications". Scams and chargebacks not published. |
| Pricing | Not published on the page read. |
| Signals | "Combine device, behavior, identity, network, and transaction data"; "highly accurate device fingerprinting". |
| Operations | "Unified Risk Decisioning Platform" with workflows; no rules, case management or reporting detail. |
| Integration | Not detailed on the page read. |
| Security and clients | No certification on the page read. Named clients include Aditya Birla Capital and Rapido. |
| 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: bureau.id.
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 |
| BioCatch | 2.5 | 9 of 13 | Retail banks fighting scams, mule accounts and account takeover |
| 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 |
Side by side on every criterion, fact and award.
Head-to-head comparisons cover pairs within the top five of each ranking. Bureau is compared with its alternatives in the table above.
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