Financial crime is evolving rapidly, and mid-size and community banks are on the front lines. With limited resources and legacy systems, these institutions face mounting pressure to detect complex threats, meet rising regulatory expectations, and protect the communities they serve.
In our latest research, conducted in partnership with Censuswide, we uncover the operational, technological, and strategic challenges AML teams are grappling with and how they’re responding.
Download the report to uncover the AML realities facing mid-size and community banks and the strategies that can help them fight back.
In this report, built from aggregated data from 200 AML professionals at U.S. mid-size banks, we’ll share key findings and the strategies behind them:
Terrorist financing: 32%
Money laundering: 30%
Human trafficking and smuggling: 27%
94% of AML professionals feel confident in detecting emerging threats
Yet 46% say investigations remain inefficient due to outdated systems and fragmented data
Overreliance on legacy systems: 50%
Limited use of AI and machine learning: 47%
Time-constrained teams with staffing gaps: 43%
AI, machine learning, and real-time monitoring are seen as the most impactful over the next three to five years.
Quantexa Cloud AML is purpose-built for U.S. mid-size and community banks, shaped by real-world challenges and developed in partnership. It strengthens AML/CFT programs without the cost, complexity, or vendor lock-in of legacy platforms, bringing Tier 1 innovation to the mid-size market.
Powered by Quantexa's proven tech, it's a scalable, secure solution that helps teams detect, investigate, and manage risk with confidence.
