The AI Security Maturity Model: Your Path to AI Governance | Europe

Where Does Your AI Security Stand?

Enterprise AI has moved from pilot projects to production environments, yet many organizations remain unprepared for the security and governance challenges that come with large-scale adoption. Employees are entering sensitive information into AI tools every day, non-human identities now outnumber human users by 82-to-1, and boards are increasingly demanding clear evidence of AI governance and compliance. As AI becomes deeply embedded in business operations, organizations need a comprehensive approach to managing risk, protecting data, and ensuring responsible use.

Join Ronan Murphy and Christopher Burger of F5 for a candid discussion on what it takes to govern AI effectively at scale. The session will explore how organizations can maintain continuous assurance and compliance as AI environments evolve, strengthen model integrity and resilience against adversarial threats, and implement effective threat detection and misuse monitoring. Attendees will also learn best practices for managing data access and flow through ingress and egress controls, prioritizing AI use cases that align with business objectives, preparing and classifying data for AI consumption, and improving data discovery to gain a clearer understanding of what information exists and where it resides.

Register today to gain actionable insights into securing, governing, and scaling AI across your organization.