- Human Defense Platform
- New York City
- San Mateo
- Washington DC
- Tel Aviv
Stop fraudsters creating large volumes of fake accounts to exploit your application or website. HUMAN analyzes a combination of unique identifiers in order to detect mass fake account creation.
Automated responses can block the unwanted accounts and the device that was being used to create them en masse, stopping further fake account creation. This significantly reduces the amount of unwanted accounts that make it through the registration process.
Detect and block fake and compromised accounts before fraud occurs. Using behavioral analysis and advanced machine learning, HUMAN continuously evaluates account activity post-login to detect suspicious behavior from both bots and humans.
If a fake or compromised account is identified, automated mitigation actions are taken. Responses can be customized within your organization’s business flow. By monitoring accounts post-login, HUMAN catches fraud and abuse where traditional solutions lack visibility.
HUMAN reduces the costs of fraud by proactively defending the registration process, decreasing the time to detect fraudulent and abusive activities, and increasing the speed of response.
Teams tasked with fraud investigation can utilize pre-configured dashboards in the management console that make it easy to understand big picture trends down to granular incident logs. Reports can be customized to suit your team and organization requirements.
Wave implemented a bot management solution to combat ATOs, but web traffic behavior also indicated high volumes of fake account creation.
Wave’s initial solution wasn’t working, so they switched to HUMAN.
“The portal itself and the metrics are absolutely beautiful. We really appreciate the customization and granularity of data the portal offers.”
Information Security Officer
They were experiencing a high volume of ATOs and other malicious bot attacks that added a heavy performance load on the website and damaged consumer trust.
They implemented HUMAN to solve their bad bot problem.