06 October 2026
,
Riyadh

FraudSense Saudi Arabia 2026

Saudi Arabia's dedicated event for fraud defence in the AI economy

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AI vs AI: The New Frontline in Fraud, Identity and Trust
Saudi Arabia’s rapid expansion of AI, instant payments, digital identity, and embedded finance is reshaping the Kingdom’s fraud landscape. AI-generated scams, synthetic identities, deepfake impersonation, and Arabic-language social engineering are scaling across the digital economy, putting new pressure on banks, fintechs, PSPs, telcos, e-commerce platforms, and digital infrastructure providers.

At the same time, institutions are deploying AI-driven models for detection, investigation, authentication, orchestration, and response. SAMA’s Counter-Fraud Fundamental Requirements Framework has raised the operational and compliance baseline, pushing fraud prevention from a control function into an enterprise-wide operating priority.

Hosted in Riyadh, FraudSense Saudi Arabia convenes the senior leaders responsible for that response, spanning fraud, financial crime, AML, identity, cybersecurity, and digital trust. The summit examines how institutions across the Kingdom are rebuilding operating models, restructuring cross-functional response teams, and defending against threats that operate at machine speed.

Why FraudSense, why now
0 %
rise in AI-powered financial scams in Saudi Arabia
0 %
of consumers in KSA have experienced scams
14.6 B+
annual electronic payment transactions in KSA
0 %
of financial phishing attacks target e-commerce
Who will be there
A cross-functional room of leaders responsible for fraud response, digital trust, and financial resilience across the Kingdom
ROLES

Chief Risk Officers
Chief Compliance Officers
Chief Information Security Officers
Heads of Fraud & Financial Crime
Heads of Payments Risk & Digital Trust
Heads of Authentication & Identity Security

ORGANISATION TYPES

Banks & Digital Banks
Fintech & Payments Platforms
Telecoms & Digital ID Providers
Insurance Providers
E-Commerce & Retail Platforms
Regulators & Infrastructure

What makes FraudSense unique
Built for institutions responding to fraud operating at machine speed
Built around live operational pressure
FraudSense is designed around the operational problems institutions are dealing with now — AI-generated scams, synthetic identities, APP fraud, mule networks, deepfake impersonation, and machine-speed social engineering. The agenda focuses on investigation realities, AI-native response models, reimbursement pressure, detection workflows, and implementation challenges facing fraud and financial crime teams.
Cross-functional by design
Modern fraud no longer sits inside a single function or institution. FraudSense brings together leaders across fraud, AML, cybersecurity, identity, payments, telecoms, digital trust, and risk — reflecting how fraud now moves fluidly across organisational silos, customer channels, payment rails, digital platforms, marketplaces, and financial ecosystems.
AI-native defence, not AI hype
The summit focuses on how institutions are deploying AI across detection, authentication, investigation, orchestration, and response workflows. Discussions are operational rather than theoretical — centred on what is already working, where institutions are struggling, and how defence models are evolving as both fraud and response begin operating at machine speed.
Agenda

8:00

9:00

Registration

    9:00

    9:05

    Opening Remarks

      9:05

      9:35

      The Year of AI Meets the Year of Compliance: Defending Trust Inside Saudi Arabia's AI-Era Financial System

      Saudi Arabia declared 2026 the Year of AI. HUMAIN’s $100 billion programme, ALLaM 34B’s sovereign Arabic model, and SDAIA’s data governance framework now sit alongside SAMA’s Counter-Fraud Fundamental Requirements issued on 13 April 2026. The Kingdom is accelerating AI adoption across the financial system while adversarial AI simultaneously reshapes the fraud landscape. The institutional question is whether fraud-defence capability will scale before adversarial AI does.
      • 2026 is the Year of AI in Saudi Arabia. What happens when machine-speed fraud meets controls built for a slower financial system?
      • SAMA's April 2026 framework extended compliance to the non-bank sector. What does the operator build beyond the baseline to defend customer trust?
      • The 2026–2028 FATF cycle assesses outcome effectiveness. Where does the fraud team invest for outcome-based supervision, not control-existence supervision?
      • HUMAIN, ALLaM, and SDAIA hand Saudi a sovereign AI edge. How does the bank turn that edge into operational fraud-defence product?

      9:35

      9:50

      How We Solved...

      A practical case study on a real industry challenge, the approach taken, and results achieved.

        9:50

        10:20

        The Instant Payment Surface: Defending Sarie, mada, and the PSP Layer

        Sarie has rebuilt the speed of Saudi banking — instant transfers, 24/7 settlement, mada handling the dominant share of consumer transactions, STC Pay and the PSP layer growing fast under SAMA supervision. The fraud team now defends rails built for speeds the legacy stack never handled, where only real-time model decisioning keeps pace. The Counter-Fraud Fundamental Requirements extend obligations to every PSP on these rails — and the practical question is whether anyone is coordinating, or each player defends its own slice.
        • Sarie payments are irreversible within seconds. Where does the bank add model-driven friction without breaking the experience that justified the rail?
        • mada handles the bulk of consumer payments. What does the issuer change in real-time decisioning when card-present economics meet card-not-present threats?
        • SAMA's framework binds PSPs and finance companies. Where does the tier-one bank share model intelligence with the non-bank layer rather than defend against it?
        • Cross-rail fraud patterns are observable. Where does the fraud team coordinate AI intelligence across Sarie, mada, STC Pay, and bank channels?

        10:20

        10:25

        The Room Speaks: Morning Pulse

        A mid-morning audience pulse capturing how the room is recalibrating its position on the day's most contested operational and strategic questions.

          10:25

          11:05

          Networking Break

            11:05

            11:35

            The National Identity Stack as Fraud Surface: Nafath, Absher, and the Trust Layer Under AI Attack

            Nafath authenticates every Saudi resident across banking and government, with Absher and Tawakkalna as the operational identity layer under the Vision 2030 financial system. When the identity stack anchors trust for the entire sector, it becomes the highest-value target — and the threat actor needs to defeat the assumption underneath it only once. Document fraud, AI-driven synthetic identity construction, and credential abuse are now industrialised; the migrant workforce (~38% of the population) adds further structural complexity.
            • Nafath is trusted across banking and government. What does the bank do when the trust assumption underneath it is itself the target?
            • Saudi's migrant workforce has distinct identity and recourse exposure. Where does the bank build differentiated controls without breaking inclusion?
            • Deepfake voice and video now defeat onboarding and target corporate treasury — 77% of professionals report increases. Where does the bank rebuild verification?
            • Document fraud, synthetic identity, and credential abuse converge. Where does the bank rebuild identity assurance with AI across the national stack?

            11:35

            11:50

            How We Solved...

            A practical case study on a real industry challenge, the approach taken, and results achieved.

              11:50

              12:20

              The Localised Threat Economy: Adversarial Arabic AI, E-Commerce Phishing, and Sovereign-LLM Defence

              SAMA's 2025 fraud reviews identified Arabic-language scam kits, synthetic IDs in fast-disbursal lending, and Telegram-driven mule recruitment as the three fastest-rising threats. Generative AI now produces native-quality Arabic scam content at industrial scale — the same capability HUMAIN and ALLaM brought to sovereign defence is available to adversaries through grey-market models. E-commerce phishing accounts for 48.5% of MENA financial phishing. The defensive playbook needs Saudi linguistic specificity at AI speed.
              • Adversarial Arabic AI produces native-quality scam content at scale. Where does the team build language-aware threat intelligence matching the attacker's pace?
              • E-commerce phishing carries 48.5% of MENA financial phishing. What does the issuer do about scam pages on Arabic domains it cannot subpoena?
              • Telegram mule recruitment operates outside the perimeter. How does the bank disrupt recruitment channels no enforcement order can reach?
              • Sovereign Arabic LLMs are a Saudi defence edge. Where does the operator deploy them against the threat without creating new attack surface?

              12:20

              12:35

              How We Solved...

              A practical case study on a real industry challenge, the approach taken, and results achieved.

                12:35

                13:05

                Know Your Agent: Fraud Defence When AI Transacts for the Customer

                Saudi Arabia is building sovereign AI into the financial system faster than anywhere in the region — and the next step is already visible: AI agents that pay, transfer, and transact on the customer's behalf. It breaks the assumptions the fraud stack was built on. Behavioural models profile how a human transacts; an agent transacts differently, faster, and at the instruction of a customer who never touched the screen. Know-Your-Customer was built for a person. The agent is software, and the controls were not designed for it.
                • Behavioural models profile how a human transacts. What breaks when the customer is an AI agent acting on their behalf, at machine pace?
                • An agent paying an invoice never passes Nafath or an OTP. Where does authentication move when the customer is not physically present at all?
                • A compromised or manipulated agent could transact at scale before any human notices. What is the kill-switch, and who holds it?
                • KYC verified a person; agentic banking needs Know-Your-Agent. What must the bank build before it lets software move money?

                13:05

                13:20

                How We Solved...

                A practical case study on a real industry challenge, the approach taken, and results achieved.

                  13:20

                  13:50

                  Collective Defence: Can Saudi Institutions Out-Coordinate the Threat?

                  As AI-era fraud moves across Sarie, mada, the PSP layer, and the identity stack faster than any single institution can track, the Kingdom's fraud response is shifting from detection to coordination. Banks, payment operators, and telecoms each hold fragments of the same attack picture, but the infrastructure to share signal in real time — and the questions around it — remains unsettled. This closing panel examines how far collective defence can realistically go, and what would unlock it.
                  • Real-time intelligence sharing across banks and PSPs promises faster detection. What actually blocks it — competitive, legal, or technical barriers?
                  • Voluntary reimbursement of scam victims is moving up the agenda internationally. What would a workable model look like in the Saudi market?
                  • Mule networks operate across institutions that do not share data. Where could coordinated disruption realistically begin between willing participants?
                  • AI-era threats outpace any single fraud team. What coordination model — shared utility, industry exchange, or bilateral pacts — fits the Kingdom best?

                  13:50

                  13:55

                  The Room Speaks: Closing Pulse

                  A final audience reflection measuring how perspectives shifted across the day's discussions.

                    13:55

                    14:00

                    Closing Remarks

                      14:00

                      14:45

                      VIP Networking Lunch

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