It is no exaggeration that cybercrime, if not addressed effectively, could change the shape of the economy. Its costs are predicted to reach $10.5 trillion USD annually by 2025, up from $3 trillion USD in 2015, according to Cybersecurity Ventures [1]. If it were measured as a country, cybercrime would be the world's third-largest economy after the U.S. and China. Thus to combat this aggressive battle with Fraudsters, companies are now equipping themselves with sophisticated Machine Learning (ML) algorithms. Yet to advance in this fight, they could inherit the unique approaches from the FBI who have . . .
From the Winter 2023 Issue
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