AI in Cyber ASEAN Online schedule

For decades, cybersecurity has been built around protecting systems, data and identities. AI is changing that equation. As organisations introduce copilots, autonomous agents and machine-driven decision-making into everyday operations, security leaders face a fundamental question: how do we maintain trust when humans are no longer the only actors in the enterprise? What are the strategic shifts redefining cyber risk, trust and accountability, in a future where AI is embedded in every business process.

Who is accountable when AI gets it wrong? From data exposure and model bias to flawed recommendations and unintended business outcomes, AI is creating new forms of risk that don't fit neatly within traditional ownership models. This session explores how leading organisations are redefining accountability, establishing governance structures, and creating clear lines of responsibility to ensure innovation can scale without sacrificing trust, oversight or control. 

From copilots and autonomous agents to organisation-wide GenAI deployments, security leaders are under pressure to enable innovation while maintaining control over data, decisions and risk. The challenge isn't whether AI should be adopted, but how to scale it responsibly without creating new vulnerabilities, compliance gaps or governance blind spots. This session explores the practical frameworks, guardrails and accountability models that organisations need to innovate with confidence in an increasingly AI-driven world.

Scaling AI across the enterprise requires more than technology alone. Success depends on aligning business strategy, data, governance, security and operating models to ensure AI delivers sustainable value. This session explores how leading organisations are moving from isolated use cases to enterprise-wide transformation while managing risk, maintaining trust and preparing for an increasingly AI-enabled future.

AI-generated audio, video and imagery have become increasingly convincing. Organisations face new risks ranging from executive impersonation and fraud to misinformation and social engineering. This session explores how security leaders can detect, mitigate and respond to deepfake-driven threats.  

AI becomes embedded across applications, workflows and business processes, organisations must contend with a new reality: not every decision, action or recommendation will come from a human. Traditional security models were designed to verify identities and devices. Today's challenge is verifying AI-generated outputs, autonomous actions and machine-driven decisions. This session explores how security leaders can build resilient security models in a world where assumptions are increasingly a liability.

• Adapt security strategies for AI-driven workflows and automation.
• Validate AI-generated decisions before they impact critical systems.
• Establish oversight for autonomous actions across the enterprise.
• Strengthen resilience when humans and machines work side by side.

Every board is asking about AI, but many organisations are still figuring out where to invest, how to measure value, and how to manage risk. This panel brings together CISOs and security leaders to discuss what's working, what's failing, and what they wish they knew before embarking on their AI security journey.

• How can organisations accelerate AI adoption without creating new security, compliance and governance blind spots?
• Where are security leaders seeing genuine value from AI today, and where is the hype outpacing the results?
• As AI takes on more security tasks, what skills, decisions and responsibilities must remain firmly in human hands?

Speakers:

Tarun Samtani
Council Member - AI Safety, Ethics & AI Governance
Singapore AI Association (SAIA)

Sourabh Chitrachar
CTO
MS First Capital Insurance