Provider profile · 2026 edition
Sift review 2026: scores, pricing and alternatives.
A fraud platform covering payment fraud, account takeover, fake account creation and chargebacks, drawing on a network of more than 1 trillion events a year.
WhatsApp and Telegram +44 7563 115980
[email protected]
A fraud platform covering payment fraud, account takeover, fake account creation and chargebacks, drawing on a network of more than 1 trillion events a year.
Sift scores 2.1 out of 5 (42 out of 100) in the Buckingham Intelligence Fraud Prevention Index 2026 and ranks 11 of 13. It is strongest for fintechs and marketplaces wanting a large shared data network, and its best criterion is fraud coverage at 4 out of 5. Not published or not stated on the pages read: coverage, pricing, security and clients and detection signals.
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 | 45 | 11 of 13 |
| For payment and e-money firms | 44 | 11 of 13 |
| For fintechs and marketplaces | 37 | 12 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.
Fintechs and marketplaces wanting a large shared data network.
What Sift publishes on its own pages, read on 26 October 2026.
A fraud platform covering payment fraud, account takeover, fake account creation and chargebacks, drawing on a network of more than 1 trillion events a year. It publishes visibility into the signals behind each decision and case management. It publishes no prices, certifications or regulated clients on the pages read.
| Fact | What the provider publishes |
|---|---|
| Coverage | "Payment fraud, account takeover, and account abuse"; "Fake account creation, bot signups"; "Chargeback Prevention". Scams not published as a product. |
| Pricing | Not published on the pages read. |
| Signals | "Global data network processing more than 1 trillion events annually" across "700+ brands"; machine learning; "visibility into the signals, models, and workflows behind every decision". |
| Operations | "Reporting, case management, and workflow analysis to reduce manual reviews". |
| Integration | Sift Score API with "API docs and tutorials"; no trial or go-live time on the pages read. |
| Security and clients | No certification on the pages read. Logos include Turo, Patreon and Kickstarter; no regulated clients named. |
| 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: sift.com, sift.com/platform.
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 |
| 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. Sift is compared with its alternatives in the table above.
Tell us what you need and where you operate.