Govern Agentic AI Before Regulators Do

83% plan to deploy agents. Only 29% feel ready to secure it.

Organisations are already racing to close the gap between how fast AI agents have entered the workforce and how little control they actually have over them.

Regulators are adding pressure on top of that. Australia’s APRA’s April 2026 Letter to Industry found that entities are governing AI with policy documents rather than enforceable controls, and stated this is no longer sufficient. Singapore’s MAS is heading the same direction, its proposed AI risk management guidelines closed consultation in January 2026 and are expected to be finalised shortly, with a 12-month transition period once issued. Both are heading towards the same direction: enforceable controls and board accountability, not policy documents.

As AI-assisted and agentic development scales, the challenge is governing it without slowing delivery down. Standardising AI-assisted development, embedding guardrails that validate what agents are doing, and managing the shift from assistive tools to fully agentic workflows are now security, compliance, and delivery problems rolled into one. This webinar walks through what a defensible answer looks like for leaders across APAC tasked with securely adopting agents into their workforce.

Why Attend:

• 83% plan to deploy agentic AI; only 29% feel prepared to secure it (Cisco, State of AI Security 2026). We’ll show how to close that gap: standardised agent access, approval and audit trails, and control over what agents can touch.
• AI governance is now a board issue, with APRA extending frameworks like CPS 230 to AI and MAS heading the same direction. We’ll cover what that looks like at the engineering level.
• Policy without enforceable control isn’t enough. We’ll show what a defensible, enforced answer looks like.
• Guardrails belong in the pipeline, not a policy binder. We’ll cover what it takes to validate agent actions and tool use without slowing teams down.