AI in Cybersecurity

Modern software development relies heavily on the trust established between developers and the third-party extension ecosystems that enhance productivity, yet this very reliance has become a lucrative gateway for sophisticated adversaries seeking to compromise high-value workstations. When an

By unifying data from over seventy different integrations, organizations can finally achieve a holistic view of their entire security landscape. For years, security operations centers have been drowning in a sea of telemetry, where each individual alert provides only a narrow glimpse into a

Evidence-based records of execution enable organizations to baseline approved behavior and detect anomalies in real-time across complex container stacks. The global software supply chain is currently undergoing a radical transformation driven by the rapid adoption of Artificial Intelligence. This

Relying on periodic manual engagements often results in testing only a fraction of a website's total attack surface due to time and budget constraints. In the high-stakes environment of 2026, web applications have become incredibly intricate, often relying on hundreds of third-party scripts

The primary technical challenge for defenders involves the difficulty of revoking legacy driver certificates without disrupting critical backward compatibility for legitimate business software. This persistent friction has paved the way for the resurgence of "Bring Your Own Vulnerable

The effectiveness of an AI agent in a professional environment is determined by its ability to mirror existing user permissions across the entire organization. As the initial novelty of generative technology fades, the corporate world is facing a stark realization regarding the limits of