A recent WIZ survey revealed a major gap between the rapid adoption of cloud-based AI services and security measures to protect them. 87% of organizations that already use tools like Open Eye and Amazon bedrock implement AI-specific security controls, but report virtualization reviews. We fully understand that 31% cite the lack of AI security expertise as their biggest concern. Despite the prevalence of hybrid and multicloud deployments, many companies still rely on legacy tools such as detection and response of insufficient endpoints to AI-driven threats such as toxicity training data and fraudulent API use. Wiz outlines the four-stage AI security maturity model, seeking continuous discovery, AI-specific policies and integrated DevOps workflows. The report concludes that a proactive and automated security strategy is essential to protecting AI workloads.
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