Testing & Security

The security landscape of 2026 was forever altered when the Model Evaluation and Threat Research nonprofit, an entity dedicated to identifying the catastrophic risks of artificial intelligence, suffered a humiliating yet profoundly educational infrastructure compromise. This landmark disclosure

Small businesses face a relentless barrage of cyberattacks that often outpace their limited administrative capacities, creating a desperate need for consolidated security frameworks. The shift from an integrated password tool to a standalone browser extension requires a calculated migration

Security teams are increasingly moving away from point-in-time penetration tests to adopt autonomous platforms that can identify and navigate complex routes to high-value targets. This transition reflects a broader recognition that annual security audits are no longer sufficient in a landscape

Organizations utilizing Langflow for AI application development face significant risks as unauthenticated attackers can now exploit network vulnerabilities to gain full system control. This alarming reality stems from a series of high-severity vulnerabilities discovered within the open-source

A simple request to enter a meeting ID on a sign-in page is often the first step in a lateral movement attack within a corporate network. As of 2026, the cybersecurity landscape has seen a significant shift in how threat actors, including sophisticated groups like the sub-clusters of Midnight

The strategic use of a two-week quiet period after initial access demonstrates how AI-orchestrated attacks blend automated speed with human-like patience to avoid detection. This methodological shift signals a departure from traditional automated scripts toward a sophisticated model where