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.

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

Discover how AI transforms data security with real-time threat detection, predictive analytics, and automation to boost protection from cyber attacks.

Integrated Risk Management (IRM) unifies siloed risk practices into a cohesive, structured framework, enabling strategic and effective risk oversight.

AI data governance refers to the management and control of data used in AI systems in an organization.

A DLP policy is an organization's set of guidelines and procedures for protecting, monitoring, and managing its sensitive data.

End User Experience Monitoring (EUEM) measures and analyzes user interactions with a company's software, website, application, or service.

Remote Browser Isolation hosts web browsing sessions on a remote server, shielding the user's local machine from potential cybersecurity threats.

Exact Data Match (EDM) is a data comparison method mainly used in data loss prevention (DLP) systems.

Cloud DLP is a security strategy that monitors, detects, and prevents the loss or leakage of sensitive data in cloud environments.

Automated threat hunting refers to the process of using AI, ML, and tools to identify potential cybersecurity threats proactively.

Security architecture in cybersecurity entails creating systems, processes, and strategies to defend digital infrastructure and data against threats.