ComplyAdvantage’s 2026 research finds financial institutions are falling behind AI-enabled criminal networks, exposing gaps in detection, screening and real-time monitoring.
ComplyAdvantage, the leader in financial crime risk management, has today published new global research revealing financial institutions are struggling to keep pace with the speed and sophistication of modern AI-enabled criminal networks. The findings show that cybercrime (54%), organised crime (37%), and human trafficking (33%) are areas where firms feel most exposed and are calling for more regulatory guidance.
Captured in The State of Financial Crime 2026 Report, ComplyAdvantage has surveyed over 600 global C-suite and senior compliance leaders within financial institutions to provide a comprehensive analysis of the latest FinCrime threats, trends, and prevention methods. It shows growing organisational vulnerability as the gap between criminal capability and institutional defence widens, creating windows for illicit transactions and human exploitation to move undetected.
Threats on all fronts
Over the next year, firms expect a surge in sophisticated crimes, led by high-end laundering (41%), trade-based money laundering (38%), terrorist financing through crowdfunding (30%) and money mulling (26%).
This rising complexity is being layered onto a market already strained by resource constraints. Respondents confirm that the bulk of their capacity is spent addressing threats from cybercrime (28%), organised criminal groups (17%), terrorist financing (15%), and human trafficking (13%). Without a robust, holistic AML platform to alleviate these existing burdens, institutions will struggle to pivot toward the more severe, AI-driven threats on the horizon.
“Behind every human trafficking operation is a financial trail,” says Taskeen Hamidullah-Bahl, STOP THE TRAFFIK. “These crimes succeed because traffickers can exploit gaps in legitimate financial systems to profit from human suffering. Financial institutions have a powerful opportunity to change that by using real-time, intelligence-led approaches to cut off funding streams and prevent abuse before lives are destroyed.”
Identifying persistent flaws in the chain
The risks are being exacerbated by ongoing limitations to organisational defences. Almost all research respondents (99%) acknowledged limitations in their ability to detect financial crime, citing failures in sanctions and watchlist screening (23%), siloed datasets (22%), and a lack of real-time visibility into risks (21%).
The report shows that the gap between expectations for advanced AI and its deployment is also causing financial institutions to fall behind. Despite all respondents (100%) experiencing or expecting positive outcomes from agentic or predictive AI, just one-third (33%) currently use the technology for customer screening and transaction monitoring (32%). Furthermore, more than 40% report not having a fully established, mature AI assurance program in place, underscoring that many firms have yet to meet the governance benchmarks required for widespread AI deployment.
The ramifications of this gap between AI expectations and effective execution are becoming increasingly evident in day-to-day operations. While 61% of firms see AI-powered real-time monitoring as their primary AML defence, the operational reality remains heavily manual and reactive. This disconnect is most visible in remediation timelines, where 89% of institutions reported taking up to 30 minutes to resolve a single transaction monitoring alert. Such a significant lag suggests that while the initial detection may be branded as “real-time,” the resolution process remains a major bottleneck that allows potential illicit activity to progress while compliance teams struggle to keep pace with volume
“With FinCEN now mandating that AML programs be effective, risk-based, and reasonably designed, the era of check-the-box compliance is officially over,” said Andrew Davies, Global Head of FCC Strategy, ComplyAdvantage. “Our findings, however, show a gap: many institutions struggle to translate national security priorities into their AI models. To meet the 2026 standard, firms must pivot toward intelligence-driven technology that not only automates processes but also produces the high-quality, actionable data law enforcement needs to combat modern financial crime.
Read the full report here: The State of Financial Crime 2026
Methodology
This report is based on a survey of 600 C-suite and senior compliance decision-makers across the US, Canada, the UK, France, Singapore, and Australia. All respondents currently work in financial services and FinTech organisations, with 50+ employees and total assets worth $50 million+. The sectors covered in interviews include financial institutions across payments, banking, and insurance
About ComplyAdvantage
Our mission is to empower every business to eliminate financial crime.
By harnessing AI, a unified platform, and an extensive partner ecosystem, we help customers turn compliance into a catalyst for growth, operational resilience, and enduring regulatory trust.
More than 3,000 enterprises across 75 countries rely on our unified platform and the world’s most comprehensive financial crime risk intelligence. With full-stack agentic automation, we help organizations automate up to 95% of KYC, AML, and sanctions reviews, cut onboarding times by 50%, reduce false positives by 70%, and handle 7x more work with the same staff.
ComplyAdvantage is headquartered in London and has global hubs in New York, Lisbon, Singapore, and Cluj-Napoca. It is backed by Balderton Capital, Index Ventures, Ontario Teachers’ Pension Plan, Goldman Sachs, and Andreessen Horowitz.
Learn more about compliance re-engineered for the age of AI at complyadvantage.com.
