Protect Your Financial Services Platform
Keep your website and apps secure from account takeover (ATO) attacks, fake account creation, and fraudulent bot-led transactions—and safeguard sensitive customer data.
Minimize Risk from Fraud and Cyberthreats
Financial services organizations are targets for fraudsters looking to access valuable customer funds and data. According to a HUMAN study, nearly 99% of web traffic to login and payment pages in 2023 was attempting to access user accounts or data.
ATO attacks are common, but other risks include compromised scripts, fake accounts, and automated bots that exploit financial platforms.
HUMAN Addresses a Broad Range of Use Cases
Financial services organizations may experience a broad range of security and fraud-mitigation challenges. Here are some of the most common use cases that HUMAN addresses.
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Protect Customer Funds and PII Protect Customer Funds and PII
Bad actors break into legitimate user accounts in order to steal funds and personally identifiable data. HUMAN stops automated ATO attacks and continuously monitors account activity for unusual behavior.
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Secure against Malicious Scripts Secure against Malicious Scripts
Scripts can be used to hoover up and exfiltrate sensitive customer data. HUMAN identifies scripts and their behavior—surgically blocking unwanted activities while maintaining the value of the script.
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Prevent Fake Account Abuse Prevent Fake Account Abuse
Fake accounts can be used to apply for credit with stolen identities, abuse promotions, or as mule accounts to facilitate illegal money transactions. HUMAN monitors accounts for patterns of abuse and enables automatic mitigation.
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Neutralize Carding Attacks Neutralize Carding Attacks
Bot automation can be used to quickly test stolen credit card information by making fraudulent purchases. HUMAN identifies and neutralizes sophisticated carding bots—resulting in fewer chargebacks and refunds.
Customers Agree
HUMAN helps financial services organizations to secure their websites
and applications against cyberthreats, fraud, and abuse.
In three days, we could see a huge reduction of fraudulent transaction attempts — from 100,000 to 150.
CEO
Donately
Before using HUMAN, we manually responded to high levels of bot traffic that was not being caught by our solution. In the first two weeks of using HUMAN, 6.6 million page views were protected and 912,000 malicious page views were blocked.
Information security officer
Wave
With HUMAN, we have been able to precisely detect and block even sophisticated bots that emulated human behavior, bringing the false positive rate below 0.01%. This reduced the amount of time that our team was spending on automated fraud.
CISO
Top regional bank