Artificial Intelligence (AI) is changing how individuals and organizations conduct many activities, including how cybercriminals carry out phishing attacks and iterate on malware. Now, cybercriminals are using AI to generate personalized phishing emails, deepfakes and malware that evade traditional detection by impersonating normal user activity and bypassing legacy security models. As a result,

Security teams have spent years building identity and access controls for human users and service accounts. But a new category of actor has quietly entered most enterprise environments, and it operates entirely outside those controls. Claude Code, Anthropic's AI coding agent, is now running across engineering organizations at scale. It reads files, executes shell commands, calls external APIs,

When a Magecart payload hides inside the EXIF data of a dynamically loaded third-party favicon, no repository scanner will catch it – because the malicious code never actually touches your repo. As teams adopt Claude Code Security for static analysis, this is the exact technical boundary where AI code scanning stops and client-side runtime execution begins. A detailed analysis of where Claude

Security teams today are not short on tools or data. They are overwhelmed by both.  Yet within the terabytes of alerts, exposures, and misconfigurations – security teams still struggle to understand context:  Q: Which exposures, misconfigurations, and vulnerabilities chain together to create viable attack paths to crown jewels? Even the most mature security teams can’t answer that