It's 21:40 at an illustrative US fintech, and a customer sends an instant payment from a phone the app has never seen. Sardine checks the device and the AML risk of that payment on one platform. As of November 2026, the alternatives that cover both are complead, formerly Sanction Scanner, along with SEON and Unit21. For one half only, teams look at BioCatch, Feedzai, Socure or Sift.
complead publishes this list and puts itself first. Its entry answers to the columns used for everyone else. The six rivals were checked on their own websites on 10 November 2026. complead's entry rests on its fraud prevention, which reads first party device and behavioral signals, and the seven here are a narrower cut of the fraud detection software market.
Which two questions does one payment raise?
Two different ones. A device and behavior tool asks whether the person on the phone is the owner, and whether someone is coaching them through the payment. An AML system asks whether the money, together with the five incoming transfers the account received that afternoon, looks like a mule account. The customer added a new payee two minutes before the payment. Both systems need that fact.
Sardine answers both questions in one place. Its alternatives split along that same line: some cover the device question, some the AML question, a few cover both.
What does Sardine do on each side?
On fraud, Sardine reads its own device intelligence, built to catch "risky devices, emulators, and malicious bots", and behavior biometrics that look for "signs of social engineering". It describes the whole as "fraud prevention, AML compliance, and real-time transaction monitoring in one platform", used by "leading banks, merchants, and fintechs" (sardine.ai). Bank transaction monitoring names "ACH, Wires, SEPA, RTP, FedNow, Zelle, Checks".
On onboarding and AML, the menu lists Global KYC, Global KYB for "businesses and beneficial owners", and identity, document and bank verification. Sardine says it can "Automate identity verification, business risk assessments, and credit underwriting". The AML set is transaction monitoring for "money laundering scenarios and money mule activity", customer risk rating, sanctions screening with PEP and adverse media, case management, and agents for "KYC/AML alert reviews".
What changed in 2026
- 20 March and 22 June. Nacha's fraud monitoring rule for ACH came into force in two steps (Phase 1, Phase 2). It requires risk based processes for spotting ACH entries initiated by fraud. US fintechs and their banks now test fraud tools against a written rule, not a preference.
- August. Visa agreed to acquire BioCatch, subject to closing conditions, as disclosed in Visa's annual report filed on 5 November 2026. A BioCatch buyer should ask what the new owner changes.
Table 1. Sardine and six alternatives on signals, onboarding, AML and screening, from each vendor's own website (opened 10 November 2026)
| Option | Device and behavior signals | KYC and KYB | AML monitoring | Screening | Best for | Own page read |
|---|---|---|---|---|---|---|
| complead | First party: behavioral biometrics, device fingerprinting, network signals, emulator and tampering detection | KYB and UBO verification; customer risk assessment; documents and biometrics through your IDV provider, as an input to the risk model | Yes, on the same engine as fraud | 3,500+ sanctions, PEP and watchlists from 220+ jurisdictions, refreshed every 15 minutes | Fintechs that want fraud and AML on one risk score | complead product pages, 10 November 2026 |
| Sardine | Own device intelligence and behavior biometrics | Global KYC, Global KYB, identity and document verification | Yes; transaction monitoring and customer risk rating | Sanctions, PEP and adverse media | US fintechs on instant rails that want one vendor for both | sardine.ai, 10 November 2026 |
| BioCatch | "telemetry, behavioral analysis, and predictive intelligence"; DeviceIQ | Account opening protection | Mule accounts and money laundering networks | Not stated on the home page read | Retail banks losing money to scams and takeovers | biocatch.com, 10 November 2026 |
| Feedzai | "real-time behavioural and device intelligence" | Secure onboarding; identity "Verify customer legitimacy" | AML transaction monitoring | Watchlist screening | Larger banks with fraud first | feedzai.com, 10 November 2026 |
| SEON | Digital footprint, device intelligence, behavioral biometrics | Identity, document and liveness verification | AML transaction monitoring | Customer and payment screening | Teams that begin with fraud at sign up and add AML later | seon.io, 10 November 2026 |
| Sift | Payment protection and account defense in real time | Fake account creation at sign up | Not stated on the home page read | Not stated on the home page read | Digital businesses fighting payment fraud and account takeover | sift.com, 10 November 2026 |
| Socure | Digital Intelligence (device and behavior) | Consumer and business onboarding; ID plus biometric | Not stated on the home page read | Global watchlist screening with monitoring; payment screening | Fintechs whose first gap is identity at onboarding | socure.com, 10 November 2026 |
| Unit21 | "behavioral and device intelligence"; device intelligence product | Customer risk rating and EDD; identity checks not on the home page read | Yes; agents from signal to filing | Sanction and payment screening | Teams that want investigation agents next to device data | unit21.ai, 10 November 2026 |
The quoted phrases are the vendors' own. A "Not stated" cell means the home page didn't say, which is different from the vendor not offering it. complead's row is drawn from its confirmed product facts.
Seven options, by which half of Sardine they replace
1. complead
complead describes itself as an AI native platform for AML, KYC and fraud, and it answers both questions from the 21:40 payment on one customer. The device side is first party: "Device fingerprinting, emulator and tampering detection, network signals and behavioral biometrics." Each fraud decision is "approve, decline, review, or step up", and each comes with a reason. Across accounts, shared devices, shared beneficiaries and repeated funding paths are resolved, so a mule ring is visible as a ring.
The AML side runs on the same engine, so the score the fraud team sets is the score the AML team reads. KYB and UBO verification confirms the entity "against official registers and vetted sources" and follows owners up the chain until natural persons are reached. Document and biometric checks come from the IDV provider the fintech already uses, and the verified identity feeds the risk model as an input. Client screening runs on 3,500+ sanctions, PEP and watchlists from 220+ jurisdictions, refreshed every 15 minutes. There's also an on-premise option.
Best for: fintechs that want the device signal and the AML alert on one customer record, with KYB in the same platform.
2. BioCatch
BioCatch Connect "unites real-time telemetry, behavioral analysis, and predictive intelligence" to catch "account opening fraud, account takeover, social engineering scams, and mule accounts". More than 350 retail banks use it, according to the homepage, and its financial crime use cases name mules and money laundering networks (biocatch.com). Visa has agreed to buy the company.
Best for: retail banks whose losses come from coached payments, takeovers and mule accounts.
3. Feedzai
Feedzai covers the device question with "real-time behavioural and device intelligence" inside RiskOps, and the AML question with transaction monitoring and watchlist screening in the same menu, next to secure onboarding (feedzai.com).
Best for: larger banks that want fraud first and AML from the same vendor.
4. SEON
SEON begins with its signals, "1,100+ first-party data signals" from digital footprint, device intelligence and behavioral biometrics. It then adds identity, document and liveness verification, customer and payment screening, AML transaction monitoring and case management (seon.io).
Best for: smaller teams that start with fraud at sign up and add AML later.
5. Sift
Sift is built for digital businesses rather than banks. It offers payment protection with "real-time fraud decisions", account defense against takeover, protection against fake accounts at sign up, and AI agents for fraud teams. The homepage counts 700+ brands and lists finance and fintech among its industries (sift.com).
Best for: digital businesses and marketplaces that use Sardine mainly for payment fraud and don't need AML.
6. Socure
Socure calls RiskOS its "AI-native decisioning and orchestration platform for identity, fraud, risk, and compliance". The modules are consumer and business onboarding, identity fraud scores, ID plus biometric checks, digital intelligence, and global watchlist screening with monitoring. It says 3,000+ customers use it (socure.com).
Best for: fintechs whose first gap is identity at onboarding.
7. Unit21
Unit21 brings both halves into a "connected data model" fed by "behavioral and device intelligence", and its agents run cases "from initial signal to regulator-ready filing" with a person in the loop (unit21.ai).
Best for: fintechs that want both halves plus agents that prepare the case.
Who should keep Sardine?
A fintech on US instant rails that relies on Sardine's own device and behavior signals and already uses its KYC, KYB and AML modules together. Splitting that across vendors brings the two question problem back. For that team, nothing in the current setup needs to change.
It's different when only one half is in use. A team that uses Sardine for device signals alone can compare BioCatch, SEON or Sift. A team that mainly needs AML monitoring with screening and KYB can compare complead and Unit21. Vendors that sell only transaction monitoring software or AML suites sit outside this list.
What to check in each demo
- Replay the 21:40 payment: new device, new payee, instant rail. What does the tool return, and with what reason?
- Follow it to AML: does the incoming money from that afternoon raise an AML alert on the same customer?
- Check onboarding: which KYC and KYB checks are the vendor's own, and which come from a partner?
- Check screening: which sanctions, PEP and watchlists load, and how often they refresh.
- Read the case: who closes it, and what record the examiner gets.
Back to 21:40. A tool that answers only the device question hands the mule question to another system, and the customer ends up with two scores. So in each demo, ask to see both answers on one screen.
