Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Building AI apps securely is not just about plugging tools into your dev pipeline. It’s about knowing what to do with those tools after they give you results. What risks matter? What policies should you apply? And when is the right time to integrate AI security into your CI/CD? Bar-El Tayouri sits down with Ashish Rajan from The Cloud Security Podcast to discuss why red teaming and scanning aren’t enough and how getting comfortable with AI security before production pays off long-term.

In this video, I’ll be putting Google’s Gemini 2.5 AI to the test — challenging it to generate 100% secure and safe code for a note taking application. The catch? My job is on the line... and the code has to pass all security checks to avoid critical vulnerabilities. I’ll be diving into how Gemini 2.5 performs under pressure and examining whether AI can truly be trusted with secure coding. Resources.

Eoin Wickens, Director of Threat Intelligence at Hidden Layer, joined Defender Fridays to discuss security for AI.

AI surveillance in the workplace is rising fast — but what about data rights, regulation, and unions? Jemma breaks down the ethical red flags.