As Australia and New Zealand prepare for Data Privacy Day, technology leaders warn of the escalating data privacy risks posed by rapidly adopted AI tools. Companies like Qualys, CyberArk, and SailPoint emphasize that identity and access weaknesses have overtaken technical exploits as the main sources of incidents. AI’s influence is blurring lines between human and machine decision-making, exacerbating the challenges of managing sensitive data. Shadow AI, created by unauthorized use of AI tools, complicates risk management, making traditional access controls insufficient. Experts urge organizations to embrace adaptive identity security, ensuring real-time monitoring and governance over AI agents, which are emerging as trusted identities. As the AI landscape evolves, basic privileged access management (PAM) frameworks must also adapt to address modern risks. Promoting strong access controls and clear accountability will be vital in safeguarding data privacy and navigating the complex intersection of AI and security.
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