Banks need to rethink resilience for the speed of an AI attack
Historically, the cybersecurity conversation in banking and fintech has centered on detection: can we spot the intrusion, flag the anomaly, catch the fraud pattern before it does damage? We developed incredibly sophisticated tools that can sift through thousands of ‘signals’ every time a customer makes a payment, ranging from how long it took them to type their card number to, sometimes, their social media activity.
That framing assumed a certain tempo: human attackers probing and exploiting at human speed, or automated scripts operating faster but without the intelligence to adapt dynamically or discover novel vulnerabilities. AI changes that assumption.
Chief Executive Officer and Executive Director of RS2.
PYMNTS reported this month that OpenAI could not rule out its highest cybersecurity warning level for its upcoming Astra model, a threshold that signals a model may be able to independently discover and develop working zero-day exploits, or carry out attacks with minimal...
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