Recent research highlights the vulnerabilities of the zero trust framework, which struggles to keep pace with rapid AI adoption. Notably, 65% of organizations cannot secure non-human identities (NHIs), including autonomous AI systems. While AI agents enhance efficiency by performing tasks like content generation and data retrieval, their unsupervised operations pose significant risks, such as data leaks and credential compromises. According to the Netskope AI Risk and Readiness Report 2026, 56% of businesses recognize the potential hazards linked to agentic AI, largely due to these systems operating in shadow mode, often without oversight. Some 37% of cybersecurity professionals reported operational issues tied to AI agents, with 9% leading to serious disruptions. This underscores the need for a reevaluation of zero trust principles to cover non-human interactions, ensuring robust identity management and real-time monitoring. As organizations increase AI security investments, they must bridge the growing gap between rapid AI deployment and effective governance mechanisms. For more about Netskope’s solutions, visit netskope.com/ai.
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