{"id":20091,"date":"2020-04-24T13:30:16","date_gmt":"2020-04-24T08:00:16","guid":{"rendered":"https:\/\/www.the-next-tech.com\/?p=20091"},"modified":"2020-04-27T12:30:29","modified_gmt":"2020-04-27T07:00:29","slug":"how-artificial-intelligence-pave-the-way-of-digital-security-for-businesses","status":"publish","type":"post","link":"https:\/\/www.the-next-tech.com\/artificial-intelligence\/how-artificial-intelligence-pave-the-way-of-digital-security-for-businesses\/","title":{"rendered":"How Artificial Intelligence pave the way of Digital Security for Businesses"},"content":{"rendered":"

The world is getting digitized at a lightning speed. The advent of digitization has set the stage for a variety of businesses by providing them new growth opportunities. The consumers can avail online services in a frictionless manner whether it is digital banking, gaming or e-shopping. <\/span><\/p>\n

Technological advancements in the form of Artificial Intelligence (AI), Machine Learning (ML)<\/a>, and Big Data have contributed a lot in revamping the business operations in the digital environment. Whether it is to compete with the demands of consumers or provide seamless digital services, technology is playing a vital role.\u00a0<\/span><\/p>\n

In this article, exceptional reformations through Artificial Intelligence technology are discussed that have remodeled the traditional organizational operations by making them robust, reliable, automated and secure. <\/span><\/p>\n

The following are some major use-cases of Artificial Intelligence in the digital world<\/strong><\/h2>\n

Detection of Malevolent Activities<\/h3>\n

AI models are trained and used for the detection of malicious patterns and activities in the system. The fraudulent entities are a potential threat to the digital environment. <\/span><\/p>\n

To get unauthorized access, they perform malicious activities such as phishing attacks, illegal transactions above the specified threshold, financial crimes such as money laundering and terrorist financing, silent data breaches and many more. Traditional and conventional malware detection methods are unable to fight against innovative fraudulent tricks. <\/span><\/p>\n

Artificial Intelligence addresses the malware detection issues through its strong underlying algorithms and techniques. Neural networks employing AI technology are trained against huge data that include all the possible incidents taking into consideration the loopholes that can be exploited by the attackers.<\/span><\/p>\n

The model is trained and tested in real scenarios to detect the malware executables injected into the systems. <\/span><\/p>\n

A branch of AI, pattern recognition detects suspicious patterns and malware behavior by backtracking the activity path. In this way, any fraudulent attempt is caught by AI models instantly to protect the system from a big loss.<\/span><\/p>\n

Digital Biometric Authentication<\/b><\/h3>\n

An increasing number of cyberattacks having multiple facets such as credit card fraud in e-commerce, unauthorized transactions in digital banking, account takeover frauds, phishing attacks<\/a>, and <\/span>identity theft<\/span><\/a>. <\/span><\/p>\n

All these cyberattacks are a result of uncontrolled access that cannot be handled by traditional authentication methods present currently in the online platforms. PIN sand passwords authentication is thing of the past. To deal with innovative fraudulent activities, innovative solutions are required.<\/span><\/p>\n

\"Detection<\/p>\n

Biometric logins and authentication systems, for example, facial recognition can help the security of platforms by allowing only registered users to avail services, not fake identities.\u00a0<\/span><\/p>\n

AI-powered facial recognition systems perform identity verification online by matching the facial biometrics of an individual against the ones stored in the database at the time of account registration. <\/span><\/p>\n


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