Hackers are now often well-funded groups making very sophisticated automated attacks via globally distributed computer networks. The use of e-banking and mobile payments has only emboldened them, and made protecting against fraud in the banking, financial services and insurance sector even more difficult and complex.
To compete in the ‘right now’ economy and both prevent and detect fraud in real time, financial service institutions need to take a new approach, combining powerful data with artificial intelligence.
This whitepaper looks at how AI and machine learning are transforming fraud prevention and detection, including:
- Why big data and the ‘right now’ economy are making fraud detection more complex
- The consequences of continuing to rely on legacy systems for fraud detection
- The attributes of an optimal fraud protection data layer
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What to look out for at RSAC Conference 2025Analysis Convincing attendees that AI can revolutionize security will be the first point of order at next week’s RSA Conference – but traditional threats will be a constant undercurrent
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Ransomware attacks are rising — but quiet payouts could mean there's more than actually reportedNews Ransomware attacks continue to climb, but they may be even higher than official figures show as companies choose to quietly pay to make such incidents go away.
