Identità non umane e Zero Trust: come proteggere applicazioni, bot e agenti AI

Applications, automated bots, and AI agents operate within business processes every day, requiring access, permissions, and authentication just like human users. But what happens when these non-human identities use static credentials, excessive privileges, or insecure authentication mechanisms? In this video, we discuss Zero Trust applied to digital identity management: a model based on the principle of least privilege, granular access, and continuous verification. This approach is increasingly necessary in distributed, integrated cloud environments, where the corporate perimeter no longer coincides with the firewall, but with roles, permissions, APIs, operational flows, and identities. We'll discover why identity security isn't just about people, but also machines, applications, and intelligent agents, and why reliable logs, auditing, and continuous review are essential to reducing the risk of compromise. In this video, we explore: what non-human identities are why static credentials and shared accounts are a risk what it means to implement the Zero Trust model why the principle of least privilege is essential how to improve access control, traceability, and security