Felipe Ruiz

AI systems are now helping develop other AI systems. That shifts the attack surface in ways most enterprise security programs haven't yet accounted for.

Exploits now arrive the moment a flaw is disclosed. See why faster patching loses, and how shift-left prevention plus runtime detection shrinks the time you stay exposed.

See how our AI-assisted code analysis, researcher validation, and responsible disclosure turn suspicious findings into actionable vulnerability reports.

Cheaper tokens, exploding bills. Why agentic AI broke enterprise budgeting, what you can do about it, and why every shortcut you take also carries a security cost.

Agentic security tools can support testing, triage, and remediation, but they also need scope controls, auditability, and human review before teams trust them.

Recent publicly available studies reveal where AI pentesting agents succeed, where they fail, and what proof teams should demand before relying on them.

Explore what Project Glasswing’s latest update reveals about AI-driven vulnerability discovery, its limits, and what AppSec teams should do next.

Only around 1.6% of Claude Code is AI logic. The rest is the harness—permissions, context, tools, recovery—and that's what makes agentic coding actually work.