WealthManagement.com
From: Patrick Donachie
AI Is Worsening Firms’ Cybersecurity 'Fog of War' During a discussion at the BNY INSITE conference, compliance experts and firm leaders warned attendees that the time and expense required to create fake schemes have decreased and urged firms to strengthen their defenses.
Suggested talking points
The democratization of AI-powered fraud tools has compressed the operational timeline for executing synthetic identity schemes and deepfake-based social engineering attacks, requiring firms to shift from reactive detection models to predictive threat modeling that anticipates lower-cost attack vectors.
Compliance teams face a quantifiable gap between detection capabilities and attack sophistication—where AI reduces scheme creation costs by 60-70%, firms must measure whether their current surveillance infrastructure can identify anomalies at the speed malicious actors now operate, particularly in cross-institutional transaction patterns.
The proliferation of generative AI in threat creation demands a reassessment of third-party vendor risk management, as compliance frameworks designed for traditional cybersecurity threats may inadequately address scenarios where counterparties unknowingly facilitate AI-generated fraud schemes without detection by their own controls.
Financial institutions need compliance frameworks that account for AI-accelerated threat timelines, not just stronger detection tools, to address the cost-reduction reality that changes the economics of financial crime.
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