Prevent financial and reputational losses with an advanced fraud detection suite
Protect your business—and your profits— by detecting fraudulent activity in real time
Keep pass rates high with flows that are easy for users and impassible for fraudsters
Detect fraudulent actions at every user step, not only during onboarding
Get rid of multi-accounting with Prooface™. Detect attempts to create duplicate accounts with a quick liveness checkTransaction risk monitoring->
Detect suspicious transactions with a flexible risk management solution. Use 300+ ready-to-use risk scenarios or create custom rulesFace authentication->
Request biometric checks during fraud-prone user actions, such as log-ins, high-volume transactions, and more
Build the verification logic the way you like: approve trusted users fast, make verification impossible for bad actors, and choose which cases to send for manual review
Fraud detection is a set of measures that enables identifying malicious user activity during onboarding, credit card transactions, and more. Fraud detection is a mandatory compliance procedure for regulated businesses, like banks or financial services. Unregulated businesses employ fraud detection to prevent losses and enhance security against various types of theft and scams.
To prevent fraud, a platform can introduce anti-fraud systems, such as Sumsub, that control onboarding and user behavior on their web and mobile applications.
An anti-fraud solution is a software suite designed to detect and prevent fraudulent activity. Businesses use anti-fraud management systems to stop bad actors from gaining access to their platform, verify legitimate users quickly, and monitor the entire KYC/AML process online in one spot.
Anti-fraud software is the go-to solution when it comes to fraud detection. A well-rounded fraud detection software can detect any kind of fraud and help companies verify personal documents and business data in the same place. Its functions include user verification, behavioral analysis, screening against global watchlists and internal blocklists, investigation of suspicious cases, and more. Automation can help detect fraudulent activity at every touchpoint of the customer journey
Detection methods constantly evolve, and while peer review iused to work for monitoring and detecting fraudulent activity, nowadays the most common method involves automatic screening of user documents and credentials using anti-fraud solutions.