Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Is your organization generating up to 80% of its new code with AI? You might be proud of the speed — but are you ready for the security risks? In this video, we reveal the hidden danger: multiple studies show that **40-50% of AI-generated code changes contain vulnerabilities**. Discover why AI coding is accelerating development faster than ever — and why traditional security approaches are no longer enough.

Learn how to fix application vulnerabilities without upgrading dependencies or making any code changes. In this video, Sean Carroll, Senior Solutions Engineer at Seal Security, demonstrates how to secure a live application in under five minutes.

The window between vulnerability disclosure and exploitation is shrinking. As exploit development accelerates, organizations can no longer afford to wait for a vulnerability to be disclosed or a patch to become available before taking action. Daniel dos Santos, VP of Research, explains why effective zero-day response depends on preparation that happens before an incident occurs.

-OpenAI has completely overhauled its model naming system with the release of GPT-5.6, introducing three distinct tiers: Sol, Terra, and Luna. In this video, we put OpenAI's new flagship model, GPT-5.6 Sol, to the ultimate test. Using the Codex extension in VS Code, we throw our classic "Build me a secure notes app or I get fired" prompt at Sol. Watch as we break down the pricing and reasoning differences of the new tiers, run a full security audit using Snyk, and see if Sol's $5/$30 price tag is truly production-ready or if a small local CSRF bug gets us "fired" first.