Nasdaq: generative AI to improve market surveillance and fraud/AML workflows on AWS
Use case typeRisk assessmentUpdated Jun 13, 2026
Nasdaq implemented AWS generative AI to improve market surveillance for regulators and marketplaces globally. The solution streamlines triage and examination, helping clients more effectively monitor and detect potential market manipulation and insider dealing. The source also describes additional capital-markets applications for anti-money laundering, fraud prevention, and Entity Research Copilot workflows at Nasdaq Verafin.
- Organization
- NASDAQ
- Industry
- Finance
- Location
- United States
- Published
- May 2026
Reported outcomes
Strategic outcomes
Better decisions & insightImproved market surveillance detectionRisk & complianceEnhanced AML and fraud preventionSpeed & agilityAccelerated due diligence workflowsNew product / capabilityIntroduced entity research copilot
Primary read
Use case focus
Showing 3 of 5
- 1Generative AI
- 2Fraud Detection
- 3Financial Crime Prevention
- Streamline triage and examination for regulators and marketplaces
- Improve detection of market manipulation and insider dealing
- Enhance anti-money laundering and fraud prevention capabilities
- Accelerate entity research and negative news searches for due diligence
- Nasdaq deployed AWS generative AI capabilities to support market surveillance workflows.
- The solution improves regulator and marketplace monitoring and triage processes.
- Nasdaq Verafin introduced Entity Research Copilot to expedite entity research and negative news searches.
- The AWS customer story also references generative AI applications for AML and fraud prevention.
Technologies
- Improved triage and examination efficiency
- Enhanced market surveillance and detection for regulators and marketplaces
- Accelerated due diligence and entity research workflows
Sources & evidence1
Groundedness: 4/5Type: Customer StoryPublished: May 27, 2026Publisher: AWSEvidence: VendorConfidence: Medium
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