How to rollout AI and Zero Trust
Pouya and PwC say that bringing together AI and Zero Trust in complex digital environments is essential.
Key measures to ensure this approach is effective include working to a shared responsibility model.
“To secure applications and assets, teamwork is essential,” Pouya says.
“Both the company and its tech providers must clearly define and understand their responsibilities on adoption of technologies.
“This ensures every part of security — from how data is managed, to keeping models accurate in AI-based apps — remains effective and fit-for-purpose.”
Other priorities include , as well as a continued focus on training and developing a robust security culture.
On data classification, Pouya reiterates that the foundation of effective AI is built on good quality and safe data, recommending companies create strong data classification protocols and controls across data environments.
While this may present challenges for organisations on their AI and Zero Trust journey, including related to legacy systems and evolving threats, Pouya says that “the strong synergy between AI and Zero Trust presents a compelling vision for the future of enterprise cybersecurity”.
He concludes: “As AI continues to reshape business operations and mitigate cyber risks, adopting a Zero Trust approach with explicit verification and AI-powered threat intelligence ensures that security remains a priority — not an afterthought. Instead, it becomes an integral part of your strategy, staying one step ahead of emerging threats.”
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