Compare SEON vs Sift

About Sift

Sift provides fraud prevention tools to minimize financial loss and brand damage through one single portal.  What can Sift do stacked up against SEON’s solutions? Or could they even work together? Today, we take a closer look.

Disclaimer: Everything you’ll read in this article was gleaned from online research, including user reviews. We did not have time to manually test every tool. This article was last updated in Q3 2023. Please feel free to contact us to request an update/correction.

Sift Key Features

  • Sift’s main offering is its Digital Trust and Safety Suite, which encompasses all of its individual APIs to stop fraud, streamline operations and boost revenue.
  • Account Defense is their account takeover (ATO) specific module that protects user accounts through machine learning with the ability to apply 2FA where necessary.
  • Their Payment Protection product uses data from their global network to train its machine learning models to analyze a given data point all in real-time, with an emphasis on automation.
  • Sift also offers a Dispute Management module that looks to minimize chargeback risk and a Content Integrity product that blocks spam, scams, and other malicious content to safeguard the integrity of a given platform.
  • Sift Connect is a noteworthy addition that allows you to connect more fraud prevention and risk management solutions from third-party payment solutions, such as Adyen, Braintree or Stripe, among others.
  • It is also worth noting that Sift creates excellent fraud prevention reports based on its accumulated business data. The data is gathered and published in the company’s Fraud Intelligence Center.

Pros of Sift
  • Cover most key areas of fraud including a specialised chargeback module.
  • Affordable long term contracts to help lift the pressure of your operations through its Digital Trust and Safety Suite.
  • A range of products that goes beyond just fraud with its Content Integrity product for businesses that work on developing online communities.
  • Utilizing blackbox AI allows for lots of volume to be analyzed with next to no input from the user side, more tailored for those handling mass amounts of transactions.

Cons of Sift
  • Blackbox AI models do not allow as much insight into how a decision on a given transaction was reached or the journey of the customer.
  • Furthermore, due to its blackbox model, there is a lack of machine learning suggestions or advice tailored to the data it’s receiving, creating room for more false positives.
  • No access to real-time social media lookups, therefore harming your ability to understand the customer. It is worth noting that data can quickly become stale or be relatively limited for emerging markets.
  • Despite offering individual APIs, these are not available to be applied with other Sift products thus creating a lack of flexibility with your risk management stack.
  • No free trial availability. 

G2 Comparison

seon vs sift
Compare SEON with Sift for Yourself

SEON’s advanced APIs and device fingerprinting provide fast, scalable fraud prevention solutions, no matter the size or ambition of your organization.

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SEON vs Sift Features Comparison Table




Data aggregation

IP AnalysisYesYes
Email data enrichment YesYes
Phone data enrichmentYesYes
Find user social mediaYes, checks 50+ platformsNo
Device FingerprintingYesYes
BIN for transactionYesYes
Behaviour trackingYes, via custom rulesYes
User authenticationVia cookie and browser hashYes, via Account Defense   

Risk analysis

Custom rulesYesNo
Machine learning suggestionsYesNo
Industry preset rulesYesNo (blackbox AI model)
Risk scoreYesYes via Sift Score

Integration / deployment

API callsYesNo
Modular APIsYesYes 
Custom API fieldsYesYes
Chrome extensionYes No
Manual queryYesNo
Graph visualizationNoYes
Team managementYesYes
Integration with other toolsYes, via ZapierNo


Chargeback guaranteeNoNo
Free integrationYesYes
Free supportYesYes
Free trialYesNo
Cost per monthFree plan available, with paid plans starting at $599 per month. For Premium Support, speak with an expert for a bespoke solution.N/A

Where SEON Wins Over Sift

  • Using a whitebox AI requires more human interaction but provides more flexibility for you to accept more transactions and minimize false positives. 
  • Furthermore, SEON is able to offer more industry-specific rulesets and our machine-learning model will offer suggestions based on current transaction flow.
  • SEON’s industry leading social media lookup tool helps create a more holistic profile of any incoming customers.

SEON vs Sift Conclusion

Choose SEON if
  • You need to leverage social media lookups as part of your risk management strategy. You have AML and KYC requirements to meet and want an all-in-one solution.
Choose Sift if
  • You are seeking a fraud prevention product that analyzes mass amounts of transaction data and takes the majority of the heavy lifting off your hands.   
See How SEON Helps You Grow

See our real-time fraud prevention solution in action, boasting unique digital footprinting, granular reporting, custom risk rules and machine learning.

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Further Reading

Learn more about:

Browser Fingerprinting | Digital FootprintingDevice Fingerprinting | Fraud Detection API | Fraud Detection Machine Learning | Fraud Detection & Prevention

Try our free tools:

Fraud Detection Software & Tools | BIN Lookup | IP Lookup | Reverse Email Lookup | Reverse Phone Lookup | Social Media Lookup

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