Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

"Exploit mitigation" stalled around 2008. The attacks didn't. AI turns a patched bug into a working exploit in hours. Why endpoint exploit mitigation stalled in 2008, and what a default-on mitigation layer looks like now. The core of my last post was an asymmetry. An attack can unfold in two steps or 20, but the vocabulary it draws from never grows.

AI-enabled attacks move faster than human analysts can track, at a scale that traditional SOCs weren’t designed to withstand. eCrime breakout times collapsed to 29 minutes on average in 2025, with the fastest clocked at 27 seconds. The rise of frontier AI models is expected to compress the time between vulnerability discovery and exploitation, intensifying pressure on SOC teams. Defending against AI-accelerated adversaries requires a new operating model.

Ransomware isn’t just a rising threat, it’s a daily reality for thousands of businesses around the world. These attacks are faster, smarter, and more damaging than ever, with global losses projected to reach $275 billion a year by 2031, according to Cybersecurity Ventures. Understanding how ransomware works is the first step toward stopping it. In this blog, we’ll break down how these attacks unfold and what you can do to defend your systems.

In a fast-moving threat landscape, finding the answers to complex security challenges can be fraught with unknowns. Asking the right questions can make all the difference, as Steven Escobar and Ben Habing know well through their work in the Assessments and Advisory practice within Cyber and Data Resilience at Kroll.