Compare SEON vs Sift

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 Features Comparison Table

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

Further Reading

Learn more about:

Browser Fingerprinting | Digital Footprinting | Device Fingerprinting | Fraud Detection API | Fraud Detection Machine Learning | Fraud Detection & Prevention

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