AI is moving from experiments to enterprise systems. That changes the security equation.
Data pipelines, platforms, models and emerging agents are no longer isolated innovation projects. They are becoming part of core business operations, connected to sensitive data, enterprise applications, decision workflows and customer interactions. The question is no longer only how to build AI systems that work. It is how to build AI systems that can be trusted.
Explore the security considerations that matter most when enterprises design, deploy and scale AI: data protection, model governance, access controls, third-party risk, prompt injection, agent autonomy, regulatory exposure and operational resilience. It will also examine the other side of the equation: how AI can strengthen security itself, from threat detection and incident response to identity, vulnerability management and cyber risk prioritisation.
Expect a practical discussion on how organisations can use AI securely without slowing innovation, and how security leaders, technology teams and business executives can work together to turn AI from a new risk surface into a new security advantage.