Protecting data in the context of zero trust means moving beyond perimeter-based defenses to a model where no user, device, or application is inherently trustworthy. As a result, every access request is verified, continuously monitored, and limited to the minimum necessary permissions needed to perform a job function. This approach reduces the risk of insider threats, compromised credentials, and...

Multicloud security involves strategies and measures to safeguard data, applications, and infrastructure across multiple cloud environments.

Data Leak Prevention encompasses strategies and tools designed to safeguard sensitive data from unauthorized access, use, or disclosure.

Digital forensics identifies, collects, and analyzes digital evidence to trace cyber breaches, assess data loss, and enhance future security.

Data loss is the unintentional deletion, corruption, or inaccessibility of critical data due to various causes preventing user access.

Data ingress is incoming data to a system, while data egress is outgoing data. Both require secure and efficient management.

Sensitive data refers to any information that could harm or have adverse consequences when accessed without authorization.

Fortra's Q2 2025 data protection releases represent a significant step forward in making enterprise data protection both more powerful and more accessible.