Agentic Commerce Fraud: Emerging Risks in AI-Driven Transactions

The rapid development of agentic commerce — where AI systems autonomously search, negotiate, recommend, and execute commercial transactions on behalf of users or organisations — is introducing new forms of fraud and financial risk. Unlike traditional e-commerce environments, agentic systems can independently make decisions, interact with multiple platforms, process large volumes of information, and initiate transactions with limited human intervention. While these capabilities offer significant opportunities for efficiency and customer experience, they also create novel vulnerabilities across authentication, payment processes, identity verification, and transaction monitoring. This session examines fraud risk within emerging agentic commerce environments from a practical financial crime and governance perspective. The webinar explores how autonomous agents alter fraud patterns, how existing control frameworks may become insufficient, and the technical, legal, and operational considerations organisations should address as AI-enabled transaction environments mature. Participants will gain practical insight into how fraud detection, risk management, and governance strategies may need to evolve within increasingly autonomous commercial ecosystems. Key Topics Discussed : Understanding agentic commerce and autonomous transactions AI agents as buyers, intermediaries, and decision-makers Identity fraud and authentication challenges Synthetic identities and AI-generated fraud vectors Payment fraud within autonomous transaction environments Prompt manipulation and agent exploitation risks Fraud through third-party integrations and APIs Transaction monitoring and anomaly detection challenges Governance and accountability in autonomous systems Human oversight and approval frameworks Legal and regulatory implications for agentic commerce Future fraud trends in AI-enabled commercial environments View on LearnFormula