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

AI isn’t the future – it’s already reshaping how we manage cyber risk. This session explores practical, ethical, and time-saving ways to use AI to enhance your Human Risk Management strategy.

• Where AI fits in a human-first cyber strategy
• Real examples of how AI can personalise training and reduce workload
• Do’s and don’ts for using AI responsibly in HRM programs

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.

Join Filip Verloy, Field CTO of Rubrik X in EMEA, for an in-depth exploration of how AI is transforming every facet of cyber security—from today’s rapidly shifting threat landscape to tomorrow’s emerging “agentic AI.” Discover how to secure your organisation’s AI/ML pipelines against adversarial attacks and why the security of AI itself must be top of mind, not just security with AI. Filip will reveal how AI-driven insights can accelerate and strengthen cyber recovery, share a pragmatic CISO playbook for AI-era resilience, and offer metrics to quantify the ROI of AI-powered defense. Learn how Rubrik’s strategy integrates with broader security ecosystems to consolidate your defenses and gain foresight into the next frontier of AI in security—what’s on the horizon and how to prepare for it before it becomes tomorrow’s biggest risk.

Moderator:

Vanessa Jalleh Content Director APAC Corinium Global Intelligence

Speaker:

Filip Verloy Field CTO EMEA & APJ Rubrik X 

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.

GRC is perhaps one of the most underappreciated functions in a company. Leadership often struggles to understand its impact, and GRC teams frequently have to fight for resources and budget. At the same time, other functions within the organization see GRC activities as a burden. This talk is designed to help you reposition GRC within your organization, not as a static control function but as a strategic driver of business outcomes. It specifically focuses on converting GRC from a cost centre into a profit driver by leveraging AI-powered automation.

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.