Tackling FinCrime with Vertical GenAI Agents

Fincrimes are rising in scale, complexity and sophistication as bad actors turn to GenAI to design cyber attacks, deepfakes and synthetic identities at speed and scale. As criminals weaponize these AI tools for malicious intent, financial institutions are using AI-driven monitoring solutions, reinforced by GenAI and virtual agents to fight back with equal force.

These technologies are transforming fincrime detection by analysing massive volumes of transactional and behavioral data in real time and spotting previously undetectable anomalies, while generating highly accurate risk profiles for financial institutions. The result: faster threat detection and case resolutions, fewer false positives, and stronger tactics to combat crimes. In fact, in one proof of concept, financial institutions reported a 60% reduction in false positives and a 50% increase in fraud detection.

Experts from American Banker, NTT DATA, Everest Group and UBS demonstrate how all forms of AI – particularly autonomous vertical agents – are raising the bar for what’s possible and enabling financial institutions to move from reactive compliance to proactive defense.

What You’ll Learn

  • How GenAI and agentic AI are combatting the growing complexities of fincrime
  • The different ways in which vertical GenAI agents enhance the capabilities of financial crime compliance teams
  • Top generative and agentic AI use cases in fraud detection, anti-money laundering and client lifecycle management
  • Key strategies you can adopt to deploy AI-driven solutions and new agentic AI technology