Executive keynotes, practitioner case studies and cross-industry panels covering revenue assurance, fraud management, digital risk, AI and business resilience.
12–13 January 2027Crowne Plaza Riyadh Palace · Riyadh
All times are Riyadh local time (UTC+3).
Day 01
Tuesday, 12 January 2027
Protect Revenue. Anticipate Fraud. Enable Growth.
Arrival
Registration, Networking & Welcome Coffee
Networking over coffee
Opening
Welcome Address
Opening remarks
Keynote
From Control to Competitive Advantage: Enabling Profitable and Resilient Growth
Amit AgrawalGlobal Head, Revenue Assurance · Lyca Group
Key industry insights
Visionary perspective
Strategic outlook
Presentation
The eSIM Attack Chain: From Mobile Identity to Bank Account
Aqeel Al AliHead of Revenue Assurance & Fraud Management · Batelco
eSIM fraud landscape
Attack chain and techniques
Impact and mitigation
Break
Networking Coffee Break
Networking and refreshments
Presentation
AI-Driven Fraud: Emerging Threats and Investigation Strategies Across Industries
Iyad MourtadaManaging Director · ACFE Authorized Trainer · OpenThinking Academy
AI-enabled fraud attacks
Deepfakes and synthetic identities
Investigation techniques
Future preparedness
Presentation
From Airtime to Financial Transactions: How Mobile Money Is Forcing a New Assurance Paradigm
This session presents an AI-based approach to real-time behaviour-change detection for identifying SIM-swap and account-takeover fraud. It examines behavioural anomalies that may appear immediately after a new SIM activation, including sudden location changes, contact with previously unseen numbers, and changes in device or network fingerprints. The approach enables a faster fraud response while helping to reduce false positives.
Using AI to Detect Synthetic Identity Fraud in Digital Financial Services
Session overview: Using AI to Detect Synthetic Identity Fraud in Digital Financial Services
Synthetic identity fraud is difficult to detect because the individual identity elements may appear genuine when assessed separately. This session explores how Nagad developed and deployed an in-house AI capability that connects signals across identities, devices, accounts and behaviour. Abdul Aziz will share the data and modelling considerations, how the capability works alongside existing controls, and practical lessons from operating it within a large digital financial-services ecosystem.
Abdul AzizFirst Vice President & Head of Business Assurance · Nagad
Connecting signals across identities, devices, accounts and behaviour
Developing and deploying an in-house AI solution at scale
Data, modelling, control integration and operational lessons
Presentation
Revenue Assurance & Fraud Management: A New Role in Resilient Digital Ecosystems