This blog was written by an independent guest blogger.
Artificial intelligence (AI) and machine learning (ML) systems have become the norm for using client data to provide recommendations to customers. As more people are working from home and conducting business online, it is imperative that fraud detection software is used to protect user information. But these protective systems also utilize ML to automate the process and understand when a potential attack is taking place.
Unfortunately, all systems that utilize ML could be subjected to a data poisoning attack. Most of the time, a data poisoning attack will end up having a greater effect on online businesses and ecommerce sites because companies are commonly unaware of the malicious software’s existence in the first place. This means it is important for all users to be aware of what data poisoning is and how to protect personal data from attacks…
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Posted by: Theodoros Karasavvas |
The post How data poisoning is used to trick fraud detection algorithms on ecommerce sites appeared first on Cybersecurity Insiders.
June 21, 2021 at 09:15PM
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