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For years, cybersecurity operated on a manageable asymmetry: attackers moved fast, but defenders had hours or days to detect, respond, and contain. That window no longer exists. The rise of AI-powered cyberattacks has not simply accelerated the threat landscape. It has restructured it. What once took a skilled adversary days to orchestrate now executes in real time. What required human judgment and patience now runs autonomously, at scale, around the clock. This is no longer

This month, the U.S. Cybersecurity and Infrastructure Security Agency (CISA) was found to have left sensitive data — passwords, access credentials, and internal system information — exposed in a publicly accessible online location for six months. CISA's mission is to help organizations prevent exactly this kind of failure. The file was called "Private-CISA." It was publicly accessible. I wish I could say this surprised me. It didn't. What Happened In May 2026, researchers dis

Most organizations treat cybersecurity as an IT problem. It gets a budget, and a team, and leadership assumes it's handled. But the data tells a different story. Attackers don't typically get in through technical back doors. There are three common ways. These attack vectors account for the vast majority of breaches, and knowing what they are matters more than anything you've read in the headlines. The First Vector: Phishing Dominates Because It Works Phishing — the practice

You may have seen recent coverage of a new AI model called Mythos. Most of it was written for cybersecurity specialists — heavy on terminology, light on practical takeaways for people running businesses. That gap is worth closing, because the actual findings are more nuanced than the headlines suggest. The short version: AI has gotten meaningfully better at probing computer networks. But the same research also shows that well-protected organizations face a very different leve