AI in Cyber ANZ Online schedule

Is your organisation truly ready to scale AI? This session helps cyber security leaders assess AI maturity, uncover hidden risks, and unlock the real business value of intelligent systems — while staying secure and compliant.

• What “AI readiness” means across people, process, and technology.
• Navigating data governance, model risks, and security blind spots.
• Building an architecture that scales AI securely and responsibly.

Moderator:

Reshma Devi Data & AI Risk and Information Management Transurban

Panellists:

Dane Warren Head of Information Security IOR

Demetris Booth Global Product Marketing Director (APJ) Cato Networks

Gaurav Vikash Head of Security and Risk (APAC) Axon

This session explores how AI is reshaping security operations, from advanced threat detection to automated response, while addressing the critical challenge of data security in AI-driven environments.

• How AI enhances data-centric security strategies to prevent breaches and insider threats.
• Best practices for securing sensitive data in AI-powered applications and workflows.
• Navigating evolving regulations and ethical considerations in AI-driven security. 

This session will equip cyber leaders with a practical understanding of how quantum computing may disrupt cryptography, reshape AI models, and redefine the security landscape — and what steps to take now to stay ahead.

• Understanding how quantum computing will impact cryptography and AI security.
• Key risks and challenges for cyber security in the quantum era.
• Practical steps for preparing and staying ahead of quantum-driven changes.

Security leaders face the challenge of securing rapidly evolving AI systems in cloud environments while keeping up with development speed. This session explores strategies for integrating security into AI and cloud workflows, ensuring that AI innovations remain agile, secure, and compliant without slowing down business progress.

• Strategies for embedding security early in AI development cycles.
• Balancing speed, innovation, and security in cloud-driven AI projects.
• Frameworks for aligning security with the fast-paced nature of AI adoption. 

This session explores how to translate emerging AI governance frameworks, such as ISO/IEC 42001 and NIST AI RMF, into practical, scalable implementation strategies. Learn how to build a governance model that not only addresses risk but also supports responsible AI growth across your organisation.

• How to operationalise ISO/IEC 42001 and NIST AI RMF in practical terms.
• Building an AIMA to support continuous risk management and audit readiness.
• Aligning AI governance with existing GRC, security, and innovation initiatives without reinventing the wheel.

With AI accelerating in cloud environments, ensuring its security is critical. This session dives into the specific risks AI introduces, including adversarial attacks, misconfigurations, and data exposure. Learn how the agentless platform can provide real-time threat detection and protection for AI workloads, ensuring secure, compliant, and resilient AI operations within the cloud.

• Identifying and mitigating risks specific to AI workloads in the cloud.
• Protecting AI models and data in real time without the need for agents.
• Strengthening security without disrupting cloud agility. 

This session explores practical frameworks for ethical AI governance, identifies key risks around bias and operational vulnerabilities, and demonstrates how to align AI initiatives with business goals. Highlighting the importance of ensuring responsible digital behaviors across the workforce. Join this session to gain insights into embedding trust, transparency, and accountability into intelligent systems, with a focus on auditability and evolving societal expectations.

• Managing key risks such as bias, compliance, and operational vulnerabilities.
• Promoting ownership and responsible use of AI across teams and stakeholders.
• Aligning AI initiatives with business goals while ensuring transparency and accountability.