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Use-Case of AI and Machine Learning in Fintech industries

A security threat is a malicious act that aims to corrupt or steal data or disrupt an organization's systems or the entire organization.
Use-Case of AI and Machine Learning in Fintech industries

Data security

For the digital transformation industry, malware comes like a big problem that is directly related to data security.

However, Deep Instinct, an intelligent institutional firm, has reported that each of the new malware has a similar code as the earlier versions.

The rate of changing files for different iterations is from 2 to 10%. The learning models can detect malware accurately. Also, there are some machine learning development companies that will help to access the information stored in clouds, and thus, they are able to report anomalies to indicate the breaches.


Machine learning and artificial intelligence can help guard against cyber-attacks, but hackers can foil security algorithms by targeting the data they train on and the warning flags they look for. Nowadays, hackers can also use AI to break through defenses and develop mutating malware.

Top 10 Use-Cases of AI and Machine Learning in Fintech Industries
Check out the Importance of Al and machine learning development in Fintech companies through the top use-cases.
https://www.mobinius.com/blogs/use-cases-of-ai-and-machine-learning-in-fintech-industries

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