Utilizing Behavioral Biometrics to Detect Bots: A Deep Dive

Bot-Driven Attacks Have Resulted In The Most Revenue Leaks For Businesses. In This Article, I Explore How Behavioral Biometrics Can Be Used To Detect Bots.

Bots are becoming increasingly sophisticated, making it challenging for businesses to detect and mitigate their activities effectively. The consequences of not identifying and blocking these automated threats can be substantial, with businesses losing millions of dollars to bot-driven fraud.

According to a 2021 report by Imperva, bots accounted for 25.6% of all internet traffic. Of this figure, bad bots were responsible for 45.9%, with their primary objectives being credential stuffing, web scraping, and distributed denial-of-service (DDoS) attacks.

Bot-driven fraud has considerable financial repercussions. In 2020, LexisNexis Risk Solutions reported that for every $1 of fraud, companies incurred an average cost of $3.36. Furthermore, Juniper Research estimates that businesses could lose over $48 billion globally to online payment fraud by 2023, with a significant portion attributed to bot activities.

Consequently, bot detection technologies have become crucial in the fight against cybercrime. One such advanced…