Enterprises and security vendors alike need to better understand how privacy improvements affect the way companies ascertain which traffic is human and which is fake, and thus the impact it has on stopping online fraud.
Most bot mitigation solutions rely on rules and risk scores, which use information from the past, even when paired with advanced machine learning or AI capabilities. Since bot operators are continually inventing new ways to evade detection, using historical data fails to detect and stop bots never seen before. As a result, retailers and e-commerce companies can’t keep up with the evolving nature of bot operators’ techniques, tools, and tactics. This is evidenced by the record volume of “Grinch” bots that we saw over the holidays.
