FraudLabs Pro Fraud Prevention vs Subunofor Shopify (2026)
FraudLabs Pro Fraud Prevention and Subuno both aim to help Shopify merchants combat online fraud and reduce chargebacks, but they appear to cater to different segments. FraudLabs Pro positions itself with a focus on advanced fraud detection algorithms and real-time analysis leveraging machine learning and a merchant network, alongside custom rule creation. Subuno, on the other hand, is presented as a rules-based platform built by industry veterans that emphasizes customizability, automation, and advanced data analytics for streamlining order screening without requiring coding skills. The critical difference appears to be in the maturity and breadth of data they use, and the degree of hands-on approach vs. automated decision-making for merchants.
At a Glance
FraudLabs Pro Fraud Prevention
11 reviews
Subuno
4 reviews
Detailed Overview
FraudLabs Pro Fraud Prevention
Analyze and detect high risk orders. Secure your business from fraud orders and reduce chargebacks.
Key Features
- Automated Decision-Making: Capture genuine payments and cancel risky orders.
- Real-time Analysis based on internal merchant network and AI machine learning.
- Custom rules that tailored for your business needs.
- Block unwanted countries, anonymous proxy and VPN.
- Detect disposable email and ship forward address.
Subuno
Subuno helps you prevent credit card fraud/chargeback. Customize and automate your order screening.
Key Features
- Automated fraud checks help you flag fraudulent and suspicious orders .
- 15+ manual review tools help you properly research and assess suspicious orders.
- Integrated third party tools provide you with advanced data analytics.
- Automatically flag orders based on risk score/velocity/mismatching addresses.
- Automatically reject/hold orders based on order characteristics.
Feature Comparison
| Rating | 2.8/5 | 5/5 |
Rating FraudLabs Pro Fraud Prevention2.8/5 Subuno5/5 | ||
| Reviews | 11 | 4 |
Reviews FraudLabs Pro Fraud Prevention11 Subuno4 | ||
| Core Approach | Algorithm-driven with machine learning | Rules-based with advanced data analytics |
Core Approach FraudLabs Pro Fraud PreventionAlgorithm-driven with machine learning SubunoRules-based with advanced data analytics | ||
| Customization | Custom validation rules | Custom fraud checks without coding |
Customization FraudLabs Pro Fraud PreventionCustom validation rules SubunoCustom fraud checks without coding | ||
| Automation | Automated decision-making | Automated order flagging/holding/rejection |
Automation FraudLabs Pro Fraud PreventionAutomated decision-making SubunoAutomated order flagging/holding/rejection | ||
| Ease of Use (Implied) | Potentially complex rule creation | Simplified customization without coding |
Ease of Use (Implied) FraudLabs Pro Fraud PreventionPotentially complex rule creation SubunoSimplified customization without coding | ||
| Data Sources | Internal merchant network & AI | Integrated third party tools |
Data Sources FraudLabs Pro Fraud PreventionInternal merchant network & AI SubunoIntegrated third party tools | ||
| Key Benefit | Comprehensive fraud detection based on numerous data points | Efficient order screening and reduced manual review time |
Key Benefit FraudLabs Pro Fraud PreventionComprehensive fraud detection based on numerous data points SubunoEfficient order screening and reduced manual review time | ||
Our Verdict
Given the significant difference in ratings and review counts, Subuno appears to be the stronger choice for most merchants, especially those seeking an accessible and customizable fraud prevention solution without requiring deep technical expertise. Its emphasis on simplifying the customization process and leveraging readily available data from third-party tools makes it attractive for merchants who value ease of use and quick implementation. FraudLabs Pro, while highlighting advanced algorithms and machine learning, may be better suited for larger enterprises or merchants with dedicated fraud management teams willing to invest time and resources in configuring complex validation rules and interpreting detailed data analysis, assuming they can overcome the current negative perception reflected in its low rating.
Common Questions
Which app is easier to set up and use?
Subuno appears easier to use, as it emphasizes customization without coding, while FraudLabs Pro requires custom validation rules which might be more complex for some users.
Which app is better for beginners?
Subuno is likely better for beginners due to its simplified customization process and emphasis on user-friendliness.
Which app offers more advanced fraud detection capabilities?
FraudLabs Pro claims to offer more advanced fraud detection through its AI and machine learning algorithms and reliance on a merchant network, but its low rating casts doubts on the real-world effectiveness of this capability. Subuno leverages advanced data analytics, but with an emphasis on rules-based execution.
Which app is more likely to accurately identify fraudulent orders?
It's difficult to say definitively. The low rating of FraudLabs Pro raises concerns. Subuno's reliance on industry veterans and a rules-based approach suggests a more proven and reliable methodology, however the lack of recent reviews should be considered.
Which app provides better value for money?
Without pricing information, it's difficult to determine. Subuno's emphasis on reducing manual review time suggests potential cost savings through increased efficiency. FraudLabs Pro might be more expensive to set up or maintain due to the need for custom rule configuration.
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