"Recent ANZ research shows that more than half of organizations lack confidence in the guardrails surrounding enterprise AI deployments," according to the webinar description.
AI agents and copilots entering ANZ enterprises faster than monitoring
The webinar frames a central tension: agentic AI and copilots are "rapidly entering enterprise environments across ANZ," often outpacing the ability of security teams to properly monitor or govern them. The description ties that rapid adoption to deployments across cloud, SaaS and hybrid environments, creating a pace and distribution that the webinar organizers say many security teams are not yet equipped to track.
How AI agents are expanding the modern attack surface
The source links the proliferation of AI agents and copilots directly to an expanding attack surface. As organizations extend AI-driven capabilities into cloud, SaaS and hybrid stacks, the webinar warns that those agents increase the number of integrations, data touchpoints and operational workflows that require oversight. The organizers situate this change alongside existing pressures on security operations: expanding attack surfaces, cloud complexity and mounting operational demands.
Where security teams are losing visibility into AI activity and enterprise data access
The webinar description highlights reduced visibility as a concrete problem: security leaders are "struggling with reduced visibility into AI activity, data access and unmanaged integrations." That loss of sightlines includes both who or what is accessing enterprise data and which AI-driven integrations are operating within corporate environments. The description explicitly links those gaps to concerns over "shadow AI, operational oversight and emerging security gaps."
Approaches and practical strategies the webinar will cover
The organizers say the session will examine how cybersecurity teams can strengthen visibility, monitoring and operational resilience as AI adoption scales. Attendees will learn:
- How AI agents are expanding the modern attack surface;
- Where security teams are losing visibility into AI activity and enterprise data access;
- Approaches for strengthening detection, monitoring and operational control;
- Practical strategies for securing AI across cloud, SaaS and hybrid environments.
Those bullets mirror the webinar’s stated agenda: the session is positioned as a roadmap for adjusting detection, monitoring and governance to keep pace with AI-driven change.
Retail, energy and the operational continuity constraint
The description singles out retail and energy as sectors where the stakes are especially high. For those industries, the webinar notes, operational continuity and distributed environments are critical, and security teams are being "increasingly asked to secure AI-driven workflows without slowing innovation." The organizers present this as a practical constraint: continuity and distribution amplify the consequences of lost visibility while simultaneously limiting how far security teams can impose friction on innovation.
What this means for security teams, procurement leaders, and end users
Security teams: The webinar frames them as facing simultaneous pressures — an expanding attack surface, cloud complexity and operational demands — and needing to shore up detection and monitoring for new AI-driven integrations.
Procurement leaders: Unmanaged integrations and rapid adoption of AI agents and copilots across cloud, SaaS and hybrid environments put procurement and third-party oversight squarely on their plate, according to the session description.
End users: The description links reduced visibility and increased data access to concerns over shadow AI and data handling; the session positions data-access transparency as a core operational issue that will affect how enterprises manage privacy and oversight.
The webinar description presents a narrow, concrete problem set: AI capabilities are being adopted rapidly across ANZ enterprises while security controls and oversight lag, producing visibility gaps and operational risks. The planned session promises practical, detection- and monitoring-focused responses tailored to cloud, SaaS and hybrid realities — and highlights retail and energy as cases where operational continuity will constrain how those responses are applied.
For readers interested in the full webinar description and registration details, the original source is available here: https://www.govinfosecurity.com/webinars/regaining-visibility-into-enterprise-ai-w-7106
