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16 articles
Learn to build an AI-enhanced vulnerability scanner similar to those used by Anthropic's Project Glasswing, combining traditional security scanning with intelligent pattern recognition.
Learn how to set up and use basic vulnerability scanning tools that work similarly to what Anthropic's Claude Mythos Preview employs. This tutorial teaches you to identify security issues in Python code using Bandit, Safety, and Flake8 tools.
Learn how to use Anthropic's Claude API to analyze code for cybersecurity vulnerabilities, similar to what their Mythos model is doing for financial institutions.
Microsoft has developed MDASH, a system that deploys over 100 AI agents to detect Windows vulnerabilities. On Patch Tuesday alone, the system uncovered 16 flaws, including four critical ones.
Linux faces a critical security crisis with a second major vulnerability emerging within weeks, affecting memory management and potentially allowing privilege escalation attacks.
Learn to build a vulnerability detection system that combines automated code analysis with AI insights, similar to OpenAI's Daybreak initiative.
A critical Linux kernel vulnerability named Dirty Frag has emerged, putting millions of systems at risk. Security experts are scrambling to develop fixes as the flaw affects network packet handling in the Linux kernel.
Learn how to create a basic security scanner that can detect web application vulnerabilities similar to how Anthropic's Mythos identified Firefox bugs.
Learn about CopyFail, a serious Linux security vulnerability that threatens multi-tenant servers, cloud systems, and CI/CD workflows. Understand how this flaw works and why it matters for internet security.
GitHub rapidly fixed a critical remote code execution vulnerability within six hours, thanks to AI-powered discovery by Wiz Research. The incident highlights the growing role of artificial intelligence in cybersecurity and the importance of rapid response to prevent potential breaches.
AI-driven vulnerability discovery is revolutionizing enterprise cybersecurity by enabling proactive threat detection and reducing the traditional cost advantages that attackers once held.
Lovable, a $6.6 billion coding platform with eight million users, has faced multiple security breaches exposing thousands of projects for extended periods, highlighting a broader crisis in developer tool security.