Every single day, hackers are finding new ways to crash websites and steal data. But right now, something has changed. Hackers are no longer working alone. They are now using powerful Artificial Intelligence (AI) tools to make their attacks faster, stronger, and much harder to stop. According to recent updates from The Hacker News, bad actors are using AI to find weak spots in systems and

Multi-factor authentication (MFA) was supposed to close a critical gap in identity security. It meant that, even if an attacker possessed the account credentials, they couldn't log in without the second factor. While that logic was sound, attackers have now figured out that they don't need to steal the second factor: they just need the user to hand it over. If your workforce authenticates with

Ask a cybersecurity pro about Network Detection and Response (NDR) and you might still hear "Noisy," "Too much data." But ask the teams running NDR that includes agentic AI capabilities and you'll hear they're actually using it to catch threats earlier, triage faster, and chase fewer false positives. The old complaint lingers in part because reputations are sticky, and because NDR has evolved

1 Introduction This article provides a technical analysis of how many Windows kernel mode drivers can be interacted with from user mode without the hardware they were developed for. This work was motivated by driver-oriented vulnerability research and the need to evaluate the exploitability of individual findings, which frequently affect code whose reachability is hardware-gated. The