Build a world of safer money

Trust is not a control. It is an operating model. It begins at onboarding – where identity, security, and protection establish the foundation – and it compounds through into identity access, payments, and remediation. In an AI-accelerated threat landscape, managing fraud, AML, identity, and security in silos no longer works. Institutions must align data, controls and KPIs across the lifecycle.

On the cusp of the World Cup, football fans are eagerly gearing up to root for their favorite team. Unfortunately, large-scale events can also provide cover and opportunity for criminals to launch scams and commit human trafficking crimes. Ian Mitchell, founder of The Knoble and incoming head of Fraud Risk at Oliver Wyman, describes the World Cup Human Trafficking and Scams detection initiative, and shares insights from working groups that bring together banking fraud, AML, cyber security, and investigation teams with law enforcement and industry leaders, using a detection and alert triage guide published by The Knoble community, with participation from Feedzai.

Multiple leaders. One shared problem. As fraud, identity, and security converge, many institutions have organized to break down silos and align operating models that reduce blind spots, speed up decisions, and define shared accountability. This panel brings together CISO, CTO, and LOB leaders to discuss what convergence really looks like in practice and how to deliver customer trust and security through a unified operating model.

In a post-digital transformation, post-COVID world of continuous online cyber scams and deepfakes, leading banks have restructured the fraud risk function to a core business enablement function, with accountability to the C-suite to deliver on business KPIs for customer and deposit growth, customer security and trust of their institution. The business is demanding fraud management and financial crime compliance to become competitive differentiators for business growth and operational excellence.

The traditional separation between authentication and fraud decisioning is rapidly evolving. New user enrollment at onboarding, logins, online account recovery, device intel, behavioral signals, all reveal intent behind digital and offline customer interactions. Banks that converge these signals with their fraud decisioning improve significantly on every fraud and CX metric. And they enable proactive fraud defense with an adaptive and continuous defense that triggers the appropriate authentication across the customer journey.

The rise of AI agents, embedded in web browsers and consumer AI service providers, allowing personal AI agents to navigate banking web and mobile apps, and execute transactions on behalf of human users, has fundamentally disrupted digital channel controls like behavioral biometrics and bot detection. New agentic behavioral trust and fraud signals are being developed to ensure there is no degradation of trust in banks’ digital ecosystem. In this session, experts will share the evolving paradigm. How to detect if a user is human or an authorized agent acting on their behalf? What kinds of fraud threats can we expect? What behavioral profiling is required to detect good vs bad agentic activity?

The next frontier in fraud defense is network intelligence. However, many banks face critical obstacles, including ensuring customer privacy and navigating complex data-handling regulations. This session provides a practical blueprint for overcoming common network intelligence hurdles to delivering tangible results, allowing organizations to effectively uncover hidden fraud threats without compromising on data confidentiality.

An al fresco evening of good food, drink, music, and conversation at The Perch, an urban oasis with sweeping views of the Manhattan skyline, the Empire State Building, One World Trade Center, and the Statue of Liberty.