Webinar Description
Key Takeaways
- Examines how AI-powered, polymorphic attacks are outpacing traditional fraud and AML defenses
- Presents an operating model that applies agentic AI across the full fraud and AML lifecycle
- Covers data integration, detection, decisioning, investigation and reporting workflows
- Addresses governance, auditability and human oversight requirements for high-stakes decisions
The Challenge of Polymorphic Attacks
Fraud and anti-money laundering teams face a shifting threat landscape as attackers deploy AI-powered techniques that adapt in real time, coordinate across multiple channels and scale rapidly. These polymorphic attacks present challenges that traditional defenses struggle to address. Many fraud and AML programs continue to operate with fragmented data sources, manual handoffs between teams, slow strategy update cycles and static rule-based systems designed for earlier threat models.
Redesigning the Fraud and AML Lifecycle
This webinar, presented by Antenor Neto and Fang Yu, outlines how high-performing teams are restructuring their operations around agentic AI capabilities. Rather than applying AI to isolated functions, the approach spans the entire fraud and AML lifecycle: data integration and orchestration, detection and decisioning, strategy optimization, investigation workflows and regulatory reporting. The session demonstrates how the Vera platform implements these agentic capabilities to help teams respond to emerging attack patterns and reduce time spent on manual processes.
Session Topics
- Why polymorphic, AI-powered attacks require a fundamentally different operating model
- How leading teams apply agentic AI across fraud and AML functions
- A practical playbook for building adaptive, real-time defenses
- Accelerating time-to-value on data integration and orchestration
- Maintaining governance, auditability and human oversight in high-stakes decisions
Who Should Attend
This webinar is designed for fraud prevention professionals, AML compliance teams and risk management leaders evaluating how agentic AI can address operational bottlenecks and improve response times against adaptive threats. The content is relevant for practitioners responsible for detection strategies, investigation workflows and maintaining regulatory compliance while modernizing their technology stack.