Expertise in Artificial Intelligence
At Nasdaq Verafin, we’ve been applying AI to fight financial crime since day one. With over 20 years of experience, we’ve built deep domain expertise in deploying the right technologies and data-driven approaches to support banks’ evolving anti-financial crime efforts. Trusted by 2,600 financial institutions — representing over $10 trillion in assets — we help customers stay ahead of criminal threats and shifting regulatory demands through cutting-edge AI innovation.
AI Powered by
Consortium Data
Nasdaq Verafin’s AI solutions deliver targeted, efficient and explainable results across the financial crime lifecycle. Our platform combines advanced analytics, machine learning and agentic AI automation to help financial institutions detect more crime, with less effort.
AI in Action
As part of our vision to automate compliance, Nasdaq Verafin has introduced our Agentic AI Workforce, a suite of digital workers that automate high-volume, low-complexity compliance tasks. Digital workers reduce manual workloads and accelerate investigations to allow human teams to focus on complex, high-value analysis. Learn More >
- Sanctions Screening – Digital Sanctions Analyst transforms traditional sanctions monitoring using an intelligent, multi-layered approach that seamlessly integrates with your institution’s existing compliance workflows. Learn More >
- Enhanced Due Diligence – Digital EDD Analyst revolutionizes the way financial institutions conduct due diligence allowing them to select the level of automation desired to supercharge investigation teams, making processes faster, more accurate, and cost-efficient. Learn More >
Digital Sanctions Analyst automates the screening process reducing alert review workload by more than
80%
Our Copilot capabilities, including Entity Research Copilot, automates research tasks like negative news searches and counterparty analysis – boosting productivity for over 1300 banks.
Machine Learning capabilities analyze vast volumes of financial data, including transactions and check images to detect unusual customer behavior and suspicious activity with high accuracy and fewer false positives.
Together, these AI features deliver a step change – driving faster, smarter decisions while reducing operational risk.
Targeted and Machine Learning AI-Based Analytics
Identifies complex crimes – such as human trafficking – using models tailored to specific typologies and powered by proprietary consortium data.
Consortium Data
Models are trained on our unique consortium data set, enabling more accurate fraud and money laundering detection with significantly fewer false positives.
Automation with Machine Learning, Generative and Agentic AI
Streamlines compliance by automating repetitive tasks and accelerating investigations through embedded digital workers.
“Nasdaq is well-placed to operationalize agentic AI at scale, given its experience in providing market-specific, high-performance, real-time processes across trade execution, trade surveillance and compliance/anti-fraud, with strong operational control, real-time checks and transparency. Indeed, Nasdaq’s placing in Chartis’ RiskTech AI 50 reflects a strong focus on cross-business-line investment in machine learning and AI.”
Sid Dash, Chief Researcher at Chartis
