Machine Learning Bot Detection Adapts to Your Traffic to Prevent Non-Human Behavior
Cybercriminals, fraudsters and even competitors use bots to do their evil bidding. Bots can carry out specific actions such as generating duplicate accounts, engaging in user generated content SPAM, creating fraudulent transactions, or breaking into existing user accounts. Bots and non-human traffic are even responsible for billions of dollars per year in advertisement & click fraud.
Filtering bad actions from your site in real-time without penalizing your legitimate users can be a difficult task. IPQualityScore detects bots and non-human traffic from botnets, automated scripts, fake click programs, compromised devices, invalid browsers, and other poor quality traffic sources. Gain the ability to block bot traffic in real-time and instantly improve the quality of your traffic, users, and transactions.
IPQS scores hundreds of millions of transactions and user events per day. We leverage this network to block devices that have recently engaged in nefarious behavior and identify devices that exhibit patterns of past fraud. A mix of device fingerprinting, browser verification, forensic analysis, behavior monitoring, machine learning, and IP reputation is performed on the user to determine if they fit the profile of a non-human bot. IPQ's detection methods are always evolving to mitigate any threats from new bots.
Fraudsters tend to pray on easy victims. Once you begin mitigating bots, cybercriminals typically move on to easier targets. Implementing IPQS's bot detection service will block bots to instantly automate quality control and regulate fraudulent accounts and transactions in real-time. Increase the integrity and security of your website by minimizing fraudulent behavior, fake traffic, and non-human visitors.