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Catching the Unknown Unknowns in Banking Cyber Attacks Using Unsupervised Machine Learning

Juniper Research forecasts that the annual cost of data breaches will increase from $3 trillion in 2019 to $5 trillion in 2024. Financial institutions have embraced various AI/ML techniques to essentially allow the model to learn the rules required to detect attacks. The hypothesis has been that with enough sample data, you can build supervised models to detect never-before-seen-attacks. But if youre trying to train models to. detect unknown attacks, you need data representative of known attacks.”]

Source: https://www.bankinfosecurity.com/whitepapers/catching-unknown-unknowns-in-cyber-attacks-using-unsupervised-w-7493

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