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SmartData Collective > Business Intelligence > Artificial Intelligence > AI Leads to Powerful New Fraud Detection Software for E-commerce
Artificial IntelligenceExclusiveITSecurity

AI Leads to Powerful New Fraud Detection Software for E-commerce

Artificial intelligence has led to the development of new software applications that can help fight fraud.

Alexander Bekker
Last updated: September 6, 2023 9:01 pm
Alexander Bekker
5 Min Read
AI and cybersecurity
Shutterstock Licensed Photo - 2122606175 | thinkhubstudio
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Artificial intelligence technology has led to a number of major changes in digital technology. one of the biggest concerns caused by AI is the proliferation of new cybersecurity threats.

Contents
AI Helps Prevent Fraud OnlineE-commerce Fraud: A Digital DilemmaAccount Takeover Fraud: An Emerging Threat

Fortunately, artificial intelligence can also be highly valuable for protecting against cybersecurity challenges. One poll found that 69% of e hey Cortana it’s usually executives believe that artificial intelligence is necessary to stop the rising threat of cybercrime.

AI technology has led to a number of improvements, such as the development of new fraud detection software. AI-driven fraud scoring algorithms can be crucial for stopping cybercrime.

AI Helps Prevent Fraud Online

Although the digital transformation has provided unparalleled conveniences and prospects, it has simultaneously ushered in a surge of new dangers. The rise of e-commerce fraud and account takeover fraud are notable examples of these threats that have gained prominence lately. As a countermeasure, fraud detection software has become an indispensable ally in the battle against online deceit. Many financial institutions are already using these types of predictive analytics models to fight fraud.

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This piece delves into how such software plays a pivotal role in tackling e-commerce fraud and account takeover incidents.

E-commerce Fraud: A Digital Dilemma

E-commerce fraud involves fraudulent transactions or practices in the realm of online retail. This can include credit card fraud, return fraud, or the sale of counterfeit goods. The anonymity and vastness of the internet provide a fertile ground for such fraudulent activities, making e-commerce fraud a significant concern for online retailers.

Detecting and preventing e-commerce fraud is a complex task. With the sheer volume of online transactions, identifying fraudulent activities amidst legitimate ones can be challenging. Furthermore, the tactics used by fraudsters are constantly evolving, making it difficult for traditional security measures to keep pace.

This is where e-commerce fraud software comes into play. By leveraging advanced technologies such as artificial intelligence and machine learning, e-commerce fraud software can analyze large volumes of transaction data in real-time, identify patterns indicative of fraudulent behavior, and flag suspicious transactions for further investigation. This proactive approach to fraud detection can significantly reduce the risk of e-commerce fraud, protecting businesses and their customers.

Account Takeover Fraud: An Emerging Threat

Account takeover fraud is another significant threat in the digital landscape. This type of fraud occurs when a fraudster gains unauthorized access to a user’s online account, often with the intent of financial gain. Once inside the account, the fraudster can carry out a range of malicious activities, from making unauthorized transactions to stealing sensitive personal information.

Detecting account takeover fraud presents its own set of challenges. Since the fraudulent activities are carried out using legitimate user credentials, distinguishing between the actions of the legitimate user and the fraudster can be difficult. Additionally, fraudsters often go to great lengths to hide their activities, making detection even more challenging.

Fraud detection software plays a crucial role in combating account takeover fraud. These systems continuously monitor user activities, flagging any unusual behavior that could indicate a potential account takeover. They also incorporate multi-factor authentication, adding an extra layer of security that makes it more difficult for fraudsters to gain unauthorized access to accounts. For more information visit Nethone page.

In the face of rising online fraud, the importance of fraud detection software cannot be overstated. By providing real-time monitoring, leveraging advanced technologies, and implementing robust security measures, fraud detection software offers a comprehensive solution to the challenges posed by e-commerce fraud and account takeover fraud. AI is going to be more important than ever, as this article from IBM highlights. As we continue to navigate the complexities of the digital world, it is crucial to stay vigilant and leverage the right tools in the fight against online fraud.:

TAGGED:ai and businesscybersecurity and AIe-commerce
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By Alexander Bekker
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Alexander Bekker is a Head of Database and BI Department at ScienceSoft. With 18 years of experience, Alexander focuses on BI solutions (data driven applications, data warehouses and ETL implementation, data analysis and data mining) in retail, healthcare, finance, and energy industries. He has been leading such large projects as private labels product analysis for 18,500+ manufacturers, global analytical system for luxury vehicle dealers and more.

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