As enterprises accelerate AI adoption, cybersecurity leaders are facing a new class of risks that challenge traditional security models. From adversarial AI and data poisoning to model governance and regulatory scrutiny, securing AI-driven transformation requires a fundamental shift in both strategy and execution. With limited precedent and rapidly evolving threats, CISOs and technology executives must lead in an environment where the rules are still being defined.
This panel brings together senior cybersecurity and IT leaders to examine how organizations are securing AI at scale while enabling innovation. Panelists will discuss how to embed security into the AI lifecycle, align AI initiatives with enterprise risk frameworks, and establish governance models that address emerging ethical and compliance concerns. The conversation will also explore the evolving role of the CISO in shaping AI strategy, influencing cross-functional collaboration, and driving resilience across the organization.
Designed for CISOs, CIOs, CTOs, and senior security practitioners, this session will provide practical insights into navigating the complexities of AI security—balancing speed, innovation, and risk in an increasingly uncertain landscape.
Key Takeaways:
- Strategies for integrating cybersecurity into the end-to-end AI lifecycle, from development to deployment
- Approaches to managing emerging AI-specific threats, including adversarial attacks and data integrity risks
- Best practices for AI governance, compliance, and ethical risk management at the enterprise level
- The evolving role of the CISO in influencing AI strategy and cross-functional decision-making
- Frameworks for aligning AI innovation with enterprise risk tolerance and regulatory requirements
- Lessons learned from early adopters securing AI initiatives in real-world environments
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