Artificial intelligence and Zero Trust (ZT) are no longer separate cybersecurity conversations. AI is changing how enterprises automate work, analyze data, write code, serve customers, run security operations, and make decisions. Zero Trust, meanwhile, remains one of the most practical security models for reducing implicit trust across users, devices, applications, workloads, identities, and data. In 2026, the two must coexist because AI expands the enterprise trust surface faster than traditional controls can validate it. This is not simply a technology architecture issue. It is a leadership issue. AI systems are beginning to retrieve sensitive data, interact with SaaS a…
Continue Reading
Complete the short form to unlock the full expert analysis. No password required.
