Reviewed and updated in October 2026.
Keeping unauthorized users out of the network is no longer enough to protect data. There are more endpoints than ever, many employees work from home, and there are countless reasons to doubt whether the person behind a device is really who they claim to be.
Zero Trust is a security model that grants no implicit trust to any user, device, app or network location: every access request is explicitly verified based on identity, device health and context, and access is limited to what the task requires. Its short form is "never trust, always verify". NIST defines the architecture in SP 800-207 (2020), and CISA's Zero Trust Maturity Model organizes it into five pillars: identity, devices, networks, applications and workloads, and data.
The cost of a data breach is not only measured in money; damage to brand and reputation weighs heavily too. According to IBM's Cost of a Data Breach Report 2026, the global average cost of a breach reached USD 4.99 million, a record high.
Suppose your data is safe on your endpoints while users travel, and only controlled, managed and secure connections reach your organization. What happens if one of your users, devices or apps is impersonated or compromised? The damage to your infrastructure could be severe, and you might not see it coming until it is too late. Once inside, attackers could move freely with the access they have gained. This is where Zero Trust comes into play.
Zero Trust is often summed up as "never trust, always verify": everyone and everything is treated as potentially malicious until verified. The term was coined by Forrester analyst John Kindervag in 2010; in August 2020, NIST published SP 800-207 Zero Trust Architecture, which became the main reference. With mobility, more sensitive data and personal information than ever has to be protected, and Zero Trust replaces the outdated "once you're in, you're in" mentality with verification wherever possible.
No user, device or app is considered secure just because it is known or sits inside a predefined perimeter. Each one is verified continuously. Network traffic and its sources are treated with the same level of suspicion. In security, it is always wise to prepare for the worst and expect the unknown.
A simple example: an employee connects from a mobile device with a messaging app to the corporate mail server, on-premises or in the cloud. Access, authentication and authorization succeed, and the user reads corporate email on the device. So far, so good.
What if another connection is made from a second device for the same user? People have several devices, so that alone is normal. But what if the first connection came from the New York area and the second, at the same time, from the Los Angeles area? That is suspicious. The question is whether you can currently detect it and act on it.
At first glance it looks like an attack with stolen credentials. It could also be a problem on the endpoint, such as outdated location data from a device that sent stale information before switching off. What should happen then?
Zero Trust is not a simple yes or no. It continuously checks that every user, device and app connecting to a resource is authenticated, legitimate and free of suspicion. In NIST's architecture, a policy engine evaluates each request against signals such as identity, device compliance, location and behavior, and a policy enforcement point grants, limits or denies access accordingly. Behavioral analytics and machine learning can feed this decision by flagging anomalies like the one above, but Zero Trust itself is an architecture and a set of principles, not a single AI product.
Zero Trust does not mean users are constantly asked to re-enter complex passwords; that would defeat the purpose. Additional authentication is requested only when the risk calls for it, for example a fingerprint or face scan to confirm a new connection, or a confirmation on another trusted device. Phishing-resistant methods such as passkeys keep this step both secure and quick, see Demystifying Security: Multi-Factor Authentication. The user experience stays as smooth as possible.
Zero Trust is a journey, not a product you switch on. Two public frameworks help structure it:
Chances are you already have some Zero Trust building blocks in place: in your identity provider, your UEM, your VPN or ZTNA, or your MTD. Typical first steps are phishing-resistant MFA, device compliance checks and conditional access policies that combine both, see Demystifying Security: Conditional Access. For the architecture in more depth, read Zero Trust Architecture in a Nutshell and How to Extend ZTA to Your Mobility Infrastructure; how ISEC7 supports such projects is described in How ISEC7 Can Help with Your ZTA Deployment.
No user, device or network location is trusted by default, not even inside the corporate network. Every access request is checked explicitly against identity, device health and context before access is granted.
No. Zero Trust is a security model and architecture. It is implemented with several products working together, such as identity providers, MFA, UEM, MTD, ZTNA and monitoring.
CISA's Zero Trust Maturity Model 2.0 defines five pillars: identity, devices, networks, applications and workloads, and data. Visibility and analytics, automation and orchestration, and governance run across all of them.
Not necessarily. Zero Trust Network Access (ZTNA) can replace a VPN for many applications, but VPNs often remain in use alongside it. What matters is that every access is verified, whichever technology carries it.
Demystifying Security, the 2020 series: Mobile Threat Defense (MTD) | Multi-Factor Authentication (MFA) | Identity and Access Management (IAM) | Virtual Private Network (VPN) | Cloud Access Security Broker (CASB) | Zero Trust
Want to know which Zero Trust building blocks you already have and which are missing? Our team supports endpoint security and endpoint management projects, and our trainings prepare your administrators. Contact us with any questions.