A Blueprint for Scaling AI Without Scaling Risk

Agentic AI , AI-Driven Security Operations , Data Privacy A Blueprint for Scaling AI Without Scaling Risk Presented by Veeam     60 mins     Credit Eligible AI adoption across Australia and New Zealand is accelerating faster than many organizations can securely govern it. Recent ANZ research found that only 48% of security leaders are fully confident they can deploy AI agents in compliance with regulations, highlighting growing concerns around visibility, accountability and operational control. As AI agents and copilots become embedded across enterprise workflows, security and governance leaders are facing mounting pressure to reduce risk without slowing innovation. Many organizations are now grappling with shadow AI, fragmented oversight and uncertainty around how sensitive data is being accessed, shared and governed. For highly regulated sectors such as financial services and government, the challenge is no longer whether AI will be adopted, but how to operationalize AI securely while maintaining trust, resilience and regulatory alignment. Attendees will explore: How AI agents are changing enterprise risk and governance requirements Why visibility, accountability and operational control are becoming critical for secure AI adoption Strategies for reducing compliance, privacy and sensitive data exposure risks How security leaders can build more resilient approaches to detecting, protecting and recovering from AI-related risk. Best practices for strengthening resilience and recovery in AI-driven environments