Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

A recent open letter from the UK government on AI-driven cyber threats highlights a clear shift in the threat landscape. Cyberattacks are no longer constrained in the same way by human expertise, as advanced AI models can now help identify vulnerabilities, generate exploit code, and increase the speed and scale of attacks.

The Anthropic Glasswing initiative brings together Amazon Web Services, Apple, Broadcom, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, and Palo Alto Networks as launch partners. You can find a lot of posts and reactions on social media as it is definitely a big deal that Anthropic is keeping their Mythos Preview model out of general access.

Frontier AI is changing the economics of cybersecurity. Advanced models can accelerate vulnerability research, exploit-path analysis, attack planning, and disclosure workflows, making vulnerability discovery more continuous, automated, and AI-driven. This raises the bar not only for enterprises that need faster protection, but also for cybersecurity vendors that must adapt secure development, production security, runtime validation, incident response, and AI-assisted workflows to keep pace.

Boards want answers, not technical dashboards. Three AI tools tried to build the perfect AI risk slide for ACME Corp, and all three left out what matters most. ‍

Compliance teams have control over approved corporate systems like enterprise software, managed databases, and internal applications. But they don’t have the same over what employees paste into ChatGPT, upload to Claude, or share with Gemini and other unauthorized AI tools. As such, when auditors review AI usage controls, most organizations discover they can’t prove that employees aren’t exposing regulated data through external AI services.

CrowdStrike is excited to announce Falcon OverWatch for Defender, a new offering that extends our elite managed threat hunting to Microsoft Defender environments. The need for proactive threat hunting is increasingly urgent as adversary operations evolve: 82% of intrusions observed in 2025 were malware-free, the CrowdStrike 2026 Global Threat Report revealed, and the fastest eCrime breakout time was a mere 27 seconds. Adversaries using AI increased their attacks 89% year-over-year.

Modern developer environments expose sensitive context across files, prompts, logs, and commands. Learn how layered local controls reduce secrets risk.

AI-enabled systems are becoming more common in operational technology (OT) environments. What many industry analysts call “Physical AI” refers to AI systems embedded in physical environments — such as industrial cameras, robots and edge systems — that can perceive, interpret and act on real-world conditions. In industrial settings, this includes machine vision systems, predictive maintenance models, robotics optimization and edge analytics operating close to production assets.

Anthropic’s announcement of Claude Mythos Preview may end up being remembered as the moment the cybersecurity industry had to stop talking about agentic AI as a future concept and start treating it as a present security variable. The reported results are serious. Anthropic says Mythos Preview identified and exploited zero-day vulnerabilities across major operating systems and browsers during testing.