Bad Bot Traffic is Significantly Contributing to Rise of Online Scam

Recently, many organizations have been left wrestling with the challenge of overcoming the rise in bot traffic, which is also sometimes referred to as non-human traffic. According to an Imperva analysis, bad bots, or software applications that conduct automated operations with malicious intent, accounted for a record-breaking 27.7% of all global internet traffic in 2021, up from 25.6 percent in 2020. Account takeover (ATO), content or price scraping, and scalping to purchase limited-availability items were the three most typical bot attacks. 

Bot traffic has the potential to damage organisations if they do not learn how to recognise, control, and filter it. Sites that rely on advertising in addition to sites that sell limited-quantity products and merchandise are particularly vulnerable. Bad bots are frequently the first sign of online fraud, posing a threat to both digital enterprises and their customers. 

Evasive bad bots accounted for 65.6 percent of all bad bot traffic in 2021, a grouping of moderate and advanced bad bots that circumvent ordinary security protections. This type of bot employs the most advanced evasion strategies, such as cycling through several IP addresses, using anonymous proxies, changing identities, and imitating human behaviour. 

Bad bots make it possible to exploit, misuse, and assault websites, mobile apps, and APIs at high speed. Personal information, credit card details,

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