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July 29, 2020 - Sean McDermott

How AI Can Protect You from a Bot Attack [+ FREE DOWNLOADABLE EBOOK]

Botnets are on the rise. As a force for good, bots perform common cognitive interactions with digital end-users every day. But unscrupulous fraudsters are using these same tools to commit fraud and steal millions. 

Let’s take a peek at the ever-increasingly sophisticated bot, how it’s impacting your business—and how you can fight back.

Are Bots Good or Bad?

Every tool can also be a weapon, and bots are no exception to this rule. Botnets are networks of computers harnessed together to perform a function. Increasingly botnets are automated with AI functions, as they perform a variety of tasks and interactions with their human end users. People may interact with an AI-powered bot when they conduct an Internet search, apply for a loan, or ask Alexa the weather. This increasingly sophisticated software is interwoven into the fabric of most of our digital interactions today.

The problem is that malicious actors also have access to these tools. These criminals can send out a phishing email that infects computers with malware. The owner of that computer may not even realize it, but their machine is now a “zombie,” or bot, controlled by the criminal. Criminals can aggregate hundreds or even thousands of computers in a bot network (botnet) that they can control remotely to perform illegal activities. 

But we’re living in the era of AI, and these cyber criminals now use AI automation to power their botnet attacks and it costs companies about $80 billion a year

Cybercriminals launch fraud attacks to steal data that includes personal identities, then use them to apply for loans, buy out tickets, or steal revenue from a pay per click ad. AI is designed to mimic human behavior by “learning” from past activity. This makes it much easier to use synthetic identities to apply for loans, run up debt, and then disappear. What’s the answer to fight back against these incredibly sophisticated fraudsters?

Using AI for Good

A botnet attack is a broad, multifaceted, and rapidly changing attempt by fraudsters to attack. But hope lies in the form of sophisticated anti-fraud software that can use the same tools against these bad actors.

DataVisor uses a form of AI called unsupervised machine learning to help companies detect the source of a bot attack before the damage occurs. AI-powered fraud detection software has been proven effective for companies in e-commerce, banking, retail, transportation, and more.

DataVisor has three solutions to identify these sophisticated attacks and mitigate botnet threats:

  • dEdge is a solution for mobile devices designed to detect and prevent large-scale automated attacks from botnets. 
  • dOps uses traditional rules analysis and combines it with machine learning for the modern production environment to prevent botnet attacks.
  • dVector is a real-time solution that can automatically detect new botnet attacks before they evolve into financial losses.

Botnet attacks are large, coordinated, simultaneous attempts to steal from your company. It takes an AI-powered set of tools to fight back against malicious AI-powered botnets. We call this “Fighting Fire with Fire,” and you can read about it in our new downloadable ebook. Download the eBook now.

Photo of Sean McDermott
about Sean McDermott
Sean leads the social commerce sales efforts at Datavisor, a cutting-edge fraud detection platform based on AI and machine learning. As a sales manager with over 12 years of experience in sales, Sean is adept at selling complex and sophisticated technologies. In the last 5 years, he has focused on selling Enterprise AI Fraud Products, quickly gaining expertise in different machine learning techniques including supervised, and unsupervised for the data science buyers.
Photo of Sean McDermott
about Sean McDermott
Sean leads the social commerce sales efforts at Datavisor, a cutting-edge fraud detection platform based on AI and machine learning. As a sales manager with over 12 years of experience in sales, Sean is adept at selling complex and sophisticated technologies. In the last 5 years, he has focused on selling Enterprise AI Fraud Products, quickly gaining expertise in different machine learning techniques including supervised, and unsupervised for the data science buyers.