For marketplaces and high-risk transaction environments, traditional multi-factor authentication (MFA) approaches are increasingly under strain. Applying the same level of authentication to every user and transaction can create friction, conversion loss and poor user experience, without necessarily stopping sophisticated fraud. Some fraud prevention teams are turning to risk-based authentication (RBA): using real-time data to determine when MFA is truly needed…
The limits of blanket MFA
Marketplaces in particular face a complex risk landscape. They must manage buyers, sellers, payments and withdrawals, often across multiple geographies and devices.
Applying MFA universally can slow down onboarding, disrupt checkout and frustrate legitimate users, especially in fast-paced environments where speed is critical.
At the same time, fraudsters have adapted, exploiting weaknesses in static authentication methods such as SMS one-time passwords.
Moving to dynamic, data-driven decisions
Risk-based authentication addresses this challenge by applying MFA selectively, based on the level of risk associated with each interaction.
This approach draws on multiple data points, including:
- Device fingerprinting and recognition
- User behaviour and session patterns
- Transaction value and velocity
- Geolocation and IP intelligence
- Historical account activity
By analysing these signals in real time, platforms can assign a risk score and trigger step-up authentication only when necessary.
High-risk scenarios in marketplaces
For marketplaces and fintech-enabled platforms, RBA is particularly valuable in scenarios such as:
- New seller onboarding and account creation
- Changes to account details or payout information
- High-value transactions or withdrawals
- Unusual login attempts or location changes
In these cases, targeted MFA adds an extra layer of protection without impacting low-risk, routine interactions.
Balancing security and user experience
The key advantage of RBA is its ability to balance security with conversion. Low-risk users experience a seamless journey, while high-risk interactions are subject to stronger controls.
However, achieving this balance requires careful calibration. Overly sensitive models can still create friction, while overly lenient ones may miss genuine threats. Continuous monitoring and tuning are essential to maintain effectiveness.
Integration with wider fraud strategies
Risk-based authentication should not operate in isolation. It is most effective when integrated with broader fraud prevention and compliance frameworks, including:
- Transaction monitoring and fraud detection systems
- AML and KYC processes
- Payment authentication protocols (e.g. SCA)
This ensures consistent decision-making across the entire customer journey.
Working with the right solutions
Given the complexity of RBA, many organisations rely on specialist providers. When selecting solutions, marketplaces should prioritise:
- Real-time data processing and low-latency decisioning
- Access to rich, multi-layered data signals
- Flexible rule-setting and machine learning capabilities
- Strong integration with existing platforms and payment flows
Smarter authentication for a faster world
As fraud becomes more sophisticated and customer expectations continue to rise, static authentication models are no longer sufficient.
For marketplaces and high-risk environments, risk-based authentication offers a smarter approach, protecting users where it matters most while preserving the seamless experiences that drive growth.
Are you searching for Multi-factor Authentication solutions for your organisation? The Fraud Prevention Summit can help!
Photo by Zulfugar Karimov on Unsplash
