Take action against account takeover

Usernames and passwords are acquired from mass data dumps that are accessible on the dark web. Each data dump can consist of millions of username and password combinations following years of data breaches carried out across multiple sites. The challenge for businesses resides not only in the availability and low price point of data dumps, but consumer behavior. With more passwords to keep track of, consumers are reusing log in details across multiple sites and neglecting password updates for years at a time.

Netacea uses a range of approaches to identify account takeover activity. At a simple level, the built-in reputational analysis and blacklist of known bad actors can easily weed out the less sophisticated attempts. However, this pool is rapidly shrinking as more complex tools are developed and become more widely available. To address the remaining attacks, Netacea has developed cutting-edge machine learning algorithms that adapt to detect evolving account takeover strategies and tools.

Netacea’s Intent Analytics™ Engine uses advanced machine learning techniques to detect account takeover attempts by spotting patterns of behavior that indicate malicious intent. This includes spotting indicators of an upcoming attack, such as large amounts of fake accounts being created that can be used to camouflage an account takeover, as well as the attack itself.