Public AI platforms, private AI models, coding assistants, and autonomous AI agents are rapidly becoming part of everyday business operations. As organizations connect AI to corporate data, internal knowledge bases, applications, and decision-making processes, they are also creating entirely new categories of risk. Prompt injection, data leakage and guardrail bypass techniques are real challenges that many organizations are only beginning to understand.

The most successful organizations will approach AI Security from two directions simultaneously: Defense and Offense. Defense focuses on governance, visibility, and control. Offense focuses on actively challenging AI systems through adversarial testing, AI red teaming, and controlled attacks. This keynote explores why securing AI requires both mindsets, what organizations are learning from real-world AI deployments, and how leaders can embrace the benefits of AI without losing control of the risks that come with it.

Financial organizations are moving beyond AI copilots and automation toward systems that can understand, predict and respond to human behavior.

From fraud prevention and credit decisions to customer journeys, personalization and risk management, behavioral AI is becoming a critical layer in how financial companies operate. This keynote will explore how predictive models can help organizations simulate decisions, anticipate customer actions and build smarter financial products.

As AI becomes more autonomous, the real competitive advantage may come from understanding people better, not replacing them.