THE GCC’S ONLY EXECUTIVE FORUM FOR AI-DRIVEN FRAUD & AML
A closed-door executive forum where senior fraud, AML, risk, and compliance leaders align on how AI is actually being deployed across GCC banks and financial institutions.
You'll walk away with:
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Clear priorities for AI investment in fraud & AML
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Proven approaches to false-positive reduction
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Practical governance models for regulator-ready AI
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Vendor capabilities that are deployable now
AGENDA AT A GLANCE
Monday Morning.
Your 2026 Fraud & AML Strategy.
A majority of GCC financial institutions cite false positives and investigation costs as their biggest operational burden.
Morning
Strategy
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Keynote: The future of AI-led financial crime prevention
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Executive Panel: What banks are deploying in 2026
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Regulatory View: Model governance & explainability expectations
Afternoon
Execution
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AI for transaction monitoring & behavioral analytics
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Sanctions screening & alert optimization
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Invitation-only roadmap sessions for heads of fraud & AML
WHO WILL BE THERE
Join senior financial crime leaders from across the region.
Banks & Financial Institutions
Retail, Corporate, Islamic Banking
Regulators & Central Banks
Monetary Authorities, Supervisory Bodies
Fintech & Digital Payments
Wallets, BNPL, Neobanks
Compliance & Risk Functions
AML, KYC, Financial Crime Units
Data & AI Teams
Fraud Analytics, ML Risk Models
RegTech & AI Providers
Transaction Monitoring, Identity
For Solution Providers
Your 2026 GCC financial services pipeline starts here
Why this event is different:
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No expo hall distractions
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Only senior buyers with active mandates
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Dedicated, non-competing solution sessions
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Curated meetings with decision-makers
Numbers that matter:
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Majority control enterprise-level budgets
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100% actively evaluating AI solutions
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High intent to replace legacy systems
Get involved
Get Involved now
Three clear paths
WHY REACTING TO FRAUD IS NO LONGER ENOUGH
Financial crime has moved faster than legacy controls.
Fraud networks now adapt in real time, exploit fragmented data, and hide inside false positives.
If your institution still relies on static rules and manual reviews, losses are already compounding.
The solution: AI-driven fraud intelligence models that learn patterns, reduce noise, and surface real risk before damage occurs.
