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A fraud and AML platform built on more than 1,100 device, digital footprint and behaviour signals, covering payment fraud, account takeover, new account fraud and chargebacks.
SEON scores 3.9 out of 5 (77 out of 100) in the Buckingham Intelligence Fraud Prevention Index 2026 and ranks 1 of 13. It is strongest for payment and fintech firms wanting a published monthly price and fast set-up, and its best criterion is fraud coverage at 4 out of 5. Not published or not stated on the pages read: security and clients, fraud coverage, detection signals, rules and case management and integration.
Scores from the Fraud Prevention Index 2026.
| Segment | Score out of 100 | Rank |
|---|---|---|
| For banks and lenders | 76 | 1 of 13 |
| For payment and e-money firms | 77 | 1 of 13 |
| For fintechs and marketplaces | 78 | 1 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.
Payment and fintech firms wanting a published monthly price and fast set-up.
What SEON publishes on its own pages, read on 26 October 2026.
A fraud and AML platform built on more than 1,100 device, digital footprint and behaviour signals, covering payment fraud, account takeover, new account fraud and chargebacks. It publishes a monthly starter price with included checks, an average 14-day go-live and three security standards. Scam detection is not published as a product.
| Fact | What the provider publishes |
|---|---|
| Coverage | Use cases include Account Takeover, Transaction Monitoring, Chargeback Management, Mule Account Detection and New Account Fraud; "Stop bonus abuse, synthetic identity fraud, account takeovers and chargebacks". |
| Pricing | Starter: "$699 per month" with "2,500 fraud checks / month", 10 users and 50 custom rules. Premium: "Custom pricing". Free trial on request. |
| Signals | "1,100+ first-party data signals"; device intelligence and behavioural analysis "that spots screen sharing, remote access tools"; network analysis across shared devices, IPs and emails; "See which of the 1,100+ signals drove the AI insights score". |
| Operations | "Fine-tune risk thresholds and build highly granular rules"; AI-written rules; case management that "auto-assigns alerts, summarizes findings and maintains a complete audit trail". |
| Integration | API-first with documentation and GitHub; "averaging 14 days from implementation to impact"; Shopify and AWS integrations; free trial. |
| Security and clients | Compliance badges: "GDPR, ISO 27001 Certified, CCPA, SOC 2, PCI DSS Compliant" (SOC 2 type not stated). Case study with tbi Bank; logos include Revolut and BNP Paribas. |
| 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: seon.io, seon.io/pricing, seon.io/legal-and-security.
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 |
|---|---|---|---|
| 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 |
| Bureau | 1.6 | 13 of 13 | Indian lenders and marketplaces stopping fake applications at onboarding |
Side by side on every criterion, fact and award.
Tell us what you need and where you operate.