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Compare SEON vs Sift

Both Sift and SEON have seen immense growth in recent years, see how the two compare and which will work best for your company in the fight against fraud with this comparison article.

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 Q1 2023. Please feel free to contact us to request an update/correction.

About Sift

Sift provides fraud prevention tools to minimize financial loss and brand damage through one single portal. Founded in 2011, the company has grown over the decade to a point where in April 2021 they raised $50m to go over a company valuation of $1 billion. 

They were supported in its early stages through seed money startup accelerator Y Combinator and now work with more than 34,000 sites and apps including Airbnb, McDonald’s and Doordash.

Sift Key products

  • 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.

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. 
Compare SEON’s solution to Sift

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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 monthFlexible tiered pricing based on API requests starting + free version availableN/A

Where Sift Wins Over SEON

  • Sift has set up its product stack to be targeted for larger businesses that handle huge amounts of transactions on a daily basis.
  • Their blackbox AI helps streamline operations and remove necessary human resources for you to spend time focusing elsewhere.

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.

G2 Comparison

seon vs sift

SEON vs Sift Conclusion

Choose SEON if
  • You are looking for a similar tool that analyzes data but provides more flexibility to optimize your revenue. Create detailed customer profiles with our social media lookup tool which is especially useful if your business is entering emerging markets where existing data can be limited.
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.   

Further Reading

Learn more about:

Browser Fingerprinting | Data EnrichmentDevice Fingerprinting | Fraud Detection API | Fraud Detection with Machine Learning & AI | Fraud Detection & Prevention

Try our free tools:

BIN Lookup | IP Lookup | Reverse Email Lookup | Reverse Phone Lookup | Social Media Lookup

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