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.

Learn what a forward proxy is and how it works, and explore its primary use cases in enhancing privacy, content control, and network security.

Learn about MFA fatigue attacks, their signs, risks, and how to protect users from falling victim to this growing cybersecurity threat.

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.

Data visibility refers to the ability to accurately and holistically see, access, and analyze data within a business or organization in real time.

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

Data observability enables monitoring, managing, and understanding data quality, reliability, and performance across pipelines and systems.

Data mining risks refer to the potential pitfalls and negative consequences associated with the data mining process. Learn more about data mining risks and how to protect yourself from them in this new blog

Understand the differences between XDR and MDR in cybersecurity, their key features, and how they address unique security needs in this blog.

The Chief Information Security Officer oversees infosec strategy and implements policies to safeguard enterprise assets from internal and external threats. Learn more about the requirements of a CISO, including the differences between CISOs, CSOs, and CIOs, in this blog.

As President-elect Donald Trump is set to take office in January, learn what he has in store for cyber policy, along with new threats organizations need to watch for, new TSA-proposed regulations, and more in this week's Friday Five.

CISA Sees Elimination of 'Bad Practices' as Next Secure-by-Design Step by Matt BrackenThe Cybersecurity and Infrastructure Security Agency (CISA) has made significant strides in its secure-by-design initiative, gaining 230 software vendors' commitments to strengthen security features like multi-factor authentication and reducing default passwords. By shifting security responsibilities to software...