Don’t Let Fraudsters Disrupt Your Platform
Provide users with a safe journey by preserving high-quality customer interactions across their online accounts, applications, and websites.
Minimize Risk from Fraud and Cyberthreats
SaaS organizations cover a broad spectrum of industries, and are targeted by fraudsters for many different reasons. From automated bots scraping pricing or product information, to fraudsters trying to break into accounts or create fake accounts to exploit promotions, and bad actors leveraging compromised scripts to steal credit card information—there are many attack vectors.
HUMAN Addresses a Broad Range of Use Cases
SaaS organizations may experience an array of security and fraud-mitigation challenges. Here are some of the most common use cases that we address.
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Prevent Account Takeover Prevent Account Takeover
Cybercriminals compromise legitimate user accounts in order to steal valuable funds, sensitive data, or make fraudulent transactions. HUMAN stops automated ATO attacks and continuously monitors account activity for unusual behavior.
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Minimize Fake Accounts Minimize Fake Accounts
Fraudsters create fake accounts to commit abuse such as exploiting promotions, influence abuse like fake reviews, or testing stolen cards. HUMAN examines accounts for signs of abusive activity and enables automatic response actions.
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Secure Against Malicious Scripts Secure Against Malicious Scripts
Scripts can be used to gather and exfiltrate sensitive customer data. HUMAN identifies scripts and their behaviors—surgically blocking unwanted activities while maintaining the value of the script.
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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 less chargebacks and refunds.
Customers Agree
HUMAN helps SaaS organizations to secure their websites and applications
against cyberthreats, fraud, and abuse.
HUMAN was able to block all of the malicious traffic, rate limit at the edge, and ease the load on our web infrastructure.
VP of information technology
Leading online learning platform
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