Claude Mythos, Project Glasswing, and the Machine-Speed Security Race

Anthropic’s latest Claude news shows how AI is compressing the time from vulnerability discovery to credentialed lateral movement, and why security teams need behavior-based detection across humans and AI agents. Anthropic’s Project Glasswing, announced on April 7, 2026, gives selected partners early access to Claude Mythos Preview for defensive cybersecurity work. Anthropic says the model has already identified thousands of zero-day vulnerabilities across critical infrastructure.

AI Agents Are Already Running the Enterprise. Security Hasn't Caught Up.

For years, conversations about AI security risks were framed as forward-looking. Organizations were told to prepare for a future where autonomous agents would act on their behalf, access sensitive systems, and make consequential decisions without human intervention at every step. That future, it turns out, is now.

How Adaptive Block Caching Makes Complex Creative Projects Easier

Whether you’re a video editor, graphic designer, or marketer responsible for building key assets, you know how frustrating working on large-scale creative projects can get. Teams struggle to work with large video and design files, dealing with slow, incomplete renders, freezes, crashes, and misaligned content. When collaborating, those delays and inefficient version keeping lead to lost or overlapping work.

How to Stop Data Leaks Using DLP and OCR?

Data leaks are no longer rare incidents. They have become a constant concern for organizations of all sizes. A single exposed file can lead to compliance violations, financial penalties, and long-term damage to brand reputation. In many cases, the impact builds over time as sensitive data spreads beyond control. At the same time, the nature of data has changed. Important information is no longer limited to structured formats like databases or spreadsheets.

92% of security leaders say their SIEM is effective. 51% say it's exceptional. What's living in that gap?

If you hear that a product is 92% effective, you’d assume it’s operating as intended. It seems like a success story. But dig a little deeper, and the picture changes; only 51% say that their security information and event management (SIEM) is very effective. What does it mean when a majority of security relies on a tool that works, but doesn’t work well enough? Not broken, not exceptional. It’s somewhere in between.

Privileged User Behavior Analytics (PUBA): How It Detects Insider Threats?

Privileged accounts are the most powerful and most vulnerable identities in any organization. System administrators, DevOps engineers, and IT teams have access to core systems, sensitive data, and critical infrastructure. This level of access is essential for daily operations, but it also makes these accounts highly attractive targets for attackers. The real challenge is not just tracking activity, but understanding whether that activity is normal or not.