Database security is crucial to protect the integrity, confidentiality, and availability of data. It builds customer trust, helps comply with regulations, and reduces the risks associated with ...

Web applications often handle vast amounts of data, from personal user details to sensitive corporate information. As these applications grow in complexity and importance, they also become primary ...

The cybersecurity landscape is undergoing a significant transformation, marked by new entrants and a surge in acquisitions of Data Security Posture Management (DSPM) startups by major tech vendors—six ...

The role of the database administrator (DBA) has always been crucial to ensuring that databases are properly organized, secured, and optimized. But recent years have seen many significant changes in ...

Security professionals are alarmed by attacks that exploit third-party dependencies in the software supply chain, particularly when these applications utilize open-source code components. According to ...

By continuously analyzing security, infrastructure, and governance data, TrustCloud aims to give a real-time view of application risk.

Most CISOs can’t answer a simple question with confidence: are the controls protecting our most critical applications ...

This voice experience is generated by AI. Learn more. This voice experience is generated by AI. Learn more. Oracle announced a suite of agentic AI capabilities integrated directly into Oracle AI ...

Qualys, Inc. today announced TotalAppSec, its new AI-powered application risk management solution to enable organizations to monitor and mitigate cyber risk from critical web applications and APIs.

Building secure, resilient, and scalable cloud-native applications requires a new set of best practices that diverge from traditional application development. Start with these six. The emergence of ...

Data security posture management (DSPM) tools help security teams examine their entire data environment to find shadow data, reducing the risk of data loss. Tracking down sensitive data across both ...