Webinar Description
Key Takeaways
- Examines security implications of AI agents that autonomously authorize, route and execute payments
- Addresses new attack surfaces including manipulated agent behavior, compromised machine identities and poisoned decision inputs
- Designed for security leaders in banking and payments
- Covers agent behavior monitoring and adapting security operations for machine-speed threats
Agentic AI in Payment Systems
AI agents are transitioning from transaction assistants to autonomous actors capable of authorizing, routing and executing payments with minimal human oversight. This shift introduces efficiency gains for the banking and financial services industry, but also creates a fundamentally different risk profile. Traditional payment security frameworks assume human involvement in decision-making, an assumption that agentic payments invalidate.
Emerging Threat Landscape
Autonomous agents present a new class of attack surface that conventional security controls were not designed to address. Threats include manipulated agent behavior, compromised machine identities and poisoned decision inputs. Payment actions executed at machine speed and scale can outpace detection capabilities built for human-initiated transactions, creating control gaps that adversaries may exploit.
Adapting Security Operations
The session explores how security operations must evolve to detect, investigate and respond to threats operating at machine speed. Agent behavior monitoring becomes increasingly important as AI systems take on active decision-making roles in payment workflows. The discussion addresses preparing security operations before agentic attack patterns mature and become more sophisticated.
Who Should Attend
This session is relevant for security leaders, risk professionals and technology decision-makers within the banking and payments ecosystem who are evaluating or implementing AI agents in payment processes and need to understand the associated security considerations.