Zero Trust
A security model that never grants trust by default and verifies every access request using identity, context and risk. It relies on strong identities and continuous monitoring, not on the network perimeter.
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Zero trust is a security model built on the principle of never trusting by default and always verifying. Instead of assuming that anything inside the network is safe, every request is verified using identity, device, context and risk before access is granted, and access is limited to what is needed.
The perimeter that once separated inside from outside has dissolved. Applications are in the cloud, people work from anywhere and attackers often use valid credentials, so a trusted network location no longer means a trusted request.
Models commonly describe identities, devices, networks, applications and workloads, and data. Each is protected with its own controls, and decisions draw on signals from all of them.
A central one. Every decision starts with who or what is asking. That makes strong authentication, conditional access, least privilege, just-in-time access and continuous evaluation core parts of zero trust, for non-human identities as well as for people.
No. It is a strategy and an architecture, described for example in NIST SP 800-207. Vendors sell components that help, but no single product delivers zero trust on its own.
A person requests access to an application. The system checks who they are, how strongly they authenticated, the state of their device, their location and the sensitivity of the application. It then grants, limits or denies access and keeps evaluating while the session lasts.
Assuming breach means checking continuously, not only at the door. An identity that passed every check can still be compromised, so what it does afterwards has to be watched and compared with what is normal.
Perimeter security trusts what is inside the network and tries to keep attackers out. Zero trust gives no implicit trust to any request, whatever its origin, and limits what any identity can reach, so that a breach does not become free movement.
A smaller blast radius when something goes wrong, better visibility of who and what has access, consistent controls across cloud, on-premises and remote work and a clearer basis for justifying access to auditors.
Not if it is done well. Adaptive policies ask for extra verification only when risk is higher, and strong, convenient methods such as passkeys make the safe path the easy one.
Inventory identities and assets. Strengthen identity with MFA and conditional access. Apply least privilege, starting with privileged and non-human identities. Segment critical systems. Monitor behaviour and iterate.
NIS2 and DORA do not require zero trust by name, but they expect risk-based access control, strong authentication, monitoring and incident detection, which zero trust supports.
Sharelock supports zero trust on the identity side: it shows where access is excessive, and monitors behaviour after login, down to individual transactions and queries on critical applications.
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