9 in 10 of attacks on tech industry are powered by automation

With the expansion of E-commerce market, cybersecurity is being tested more frequently as number of bots attacking on tech platforms has increased too. Every year, the firms that fuel our society transfer more of their operations online, as part of a decades-long digital transition. For the most part, this change has been gradual, with companies going online when they were ready.

Until the year 2020. The COVID-19 epidemic drove practically all companies, ready or not, to become internet enterprises. However, when companies move swiftly, they might leave themselves open to security dangers. Some of today's online dangers, which are conducted by legions of automated internet robots that mimic human behavior, or bots, might represent an even higher risk to your organization than you may have anticipated.

Following the 2016 presidential election in the United States, a growing number of individuals became aware of internet bots and automated assaults. The scope of the problem, on the other hand, is difficult to comprehend for the average online user. As per ArkoseLabs study, 91 percent of attacks on tech platforms are powered by automated processes and AI, while, bots can account for up to 32 percent of overall traffic in the finance business. Bots can also be used to increase the number of tries to infiltrate a website.

They have the benefit of being scale-able, automated, and simple to implement on a wide scale. In the context of fraud, it is therefore simple to start bots and conduct simultaneous attacks on hundreds of websites. Consider a huge shop that used to do the majority of its business in person but now has a digital sales channel as well.

Because of COVID-19, most businesses like this have sought to transfer the majority of their operations online. Their checkout websites, which include fields for credit card information and personal information, are ripe for fraud. Bots will fill online shopping carts with things and then leave them in order to test the security of the checkout process, limiting the inventory accessible to actual consumers.

They will use stolen credentials from another site to spam login attempts on a sign-in page. They will scrape the whole website of the shop in search of information that may be used to make fake applications for loans, credit cards, or other kinds of identity. Or they'll use the scraped data to develop a replica version of the site in an attempt to fool clients into giving up their own payment information, so tarnishing the actual business's image.

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