Zero Trust verifies each access request and limits privileges, reducing lateral movement after compromise through segmentation and continuous authentication.
Search across headline titles and summaries.
Background for this topic.
Zero trust is a security architecture that grants no implicit access based on network location. Each request is evaluated using the user or workload identity, device state, requested resource, and relevant context. Its purpose is to limit the damage from stolen credentials, compromised endpoints, or malicious insiders by enforcing least privilege and restricting lateral movement. Zero trust is a design approach, not a single product or a claim that trust can be eliminated.
Effective controls include phishing-resistant multifactor authentication, strong identity and access lifecycle management, device and workload authorization, application-level segmentation, short-lived credentials, and auditable policy decisions. Policies should limit access to specific resources and actions rather than broad network zones. Poorly maintained identities, service accounts, segmentation rules, or policy exceptions can leave exploitable paths while creating false assurance; the identity and policy infrastructure itself also requires hardening, monitoring, and recovery planning.
Also: Why AI Falls Short in Zero Trust, Gaps in Insider Threat PreventionIn this week's update, ISMG editors discussed how AI is reshaping behavioral biometrics, the impact of AI on zero trust strategies and whether organizations are finally getting a handle on insider threats - or just throwing more money at a nagging problem.
Two Experts Discuss Pros and Cons of Using AI in a Zero-Trust FrameworkAI gives security teams an edge in zero trust rollouts by helping them understand who is accessing what and why. Rather than relying solely on manual segmentation and static access reviews, AI lets teams focus on where they are needed and catch unnecessary connections across systems and users.