AI in Cyber ANZ Online schedule

Every cyber team knows the feeling. AI is arriving faster than governance can keep up. New copilots, agents and automations are appearing across the business, and security teams can't review every prompt, workflow or decision. So how do we stay secure without becoming the bottleneck? In this session, Nick explores why the answer isn't more controls. It's better ownership. Learn how embedding accountability across business, technology, data and cyber teams enables AI adoption, strengthens governance and helps security scale with confidence.

Frontier AI models, like Mythos, are compressing software development timelines in ways legacy security programs were never designed to absorb. Engineering teams are shipping 10 to 50 times more code per sprint, a pace that fundamentally breaks the assumption that humans can review what humans build. For everyone building and defending software, this is an architectural problem: a single point of failure anywhere in the supply chain can lead to a breach, and no single tool or team can cover every layer. This session gives security and engineering teams a shared framework for defence in depth in the AI era and will discuss:

• How frontier models and AI tooling are leading to an increase in supply chain attacks
• Where are you exposed across your cybersecurity stack
• What defence-in-depth architecture actually looks like in practice
• What policies and tools you need to stay protected from AI-assisted attacks

AI is now embedded across enterprise tools, SaaS platforms, and workflows, making blanket restrictions on public LLMs increasingly ineffective. Employees are building their own integrations, and AI capability is spreading organically through business systems.This session explores what modern AI governance looks like in practice, shifting from blocking to enabling with targeted controls, embedded safeguards, and scalable oversight across cyber, legal, and operational frameworks.

As organisations accelerate AI adoption, they are facing growing challenges around widespread access to powerful AI tools, data responsibility, regulatory expectations, and cyber risks to the business. This session will discuss the notion of the 3 gates of resilience and share real life scenarios on how organisations are responding to this challenge.

Fake video. Cloned voices. AI-driven chat. Real consequences. Deepfakes have moved from novelty to enterprise threat — powering fraud, executive impersonation, and social engineering at scale. Drawing on real-world cases, this session examines how attacks unfold across video, audio and text channels, and the governance, guardrails and detection strategies security leaders need to build resilience and preserve trust.

AI is rapidly becoming embedded across SOC workflows, detection, and response, but many teams are still questioning whether it is improving effectiveness or simply accelerating complexity. Explore where AI is delivering operational value, and where expectations may be outpacing reality.

AI reshapes how organisations operate and decisions are made, challenging cyber leaders to think beyond traditional security playbooks. This panel explores how CISOs are balancing governance and risk thinking with innovation, leading teams through uncertainty, influencing business strategy, and maintaining human judgment in increasingly tech dominated environments.

• What tensions are emerging between AI-driven efficiency and meaningful human oversight?
• What leadership habits become more valuable as organisations rely more heavily on automation and machine-generated insight?
• How do security leaders avoid becoming operational gatekeepers and instead become strategic enablers in AI-driven organisations?

Moderator:

Madhuri Nandi Head of Security Nuvei

Panellists:

Arun Singh Tyro’s former CISO

Vijay Narayan CISO Mercy Health

River Nygryn CTO Command Ridge Virtual Asset Authority