Why AI-Generated Code Is Raising the Stakes for Secrets Management
Techstrong TV Interviews
•
17m
Following a $50 million funding round, GitGuardian CEO Eric Fourrier discusses the mounting challenges DevSecOps teams face in protecting sensitive credentials as developers increasingly rely on AI tools to generate code. He explains how automated code generation can unintentionally expose secrets, why traditional detection approaches fall short and what organizations must do to secure the modern software supply chain.
Up Next in Techstrong TV Interviews
-
Why Community Banks Must Rethink AI S...
Kevin Green, co-founder and CMO for Hapax, makes the case that communication — not just computation — will determine AI’s impact on financial services. He examines the challenges smaller financial institutions face as they weigh AI investments, from cost pressures to integration hurdles, and expl...
-
Securing AI-Native Development in the...
Emilio Escobar, CISO at Datadog, explains why security teams must leverage AI defensively, how feedback loops are critical to improving AI agents and why integrating observability with security is becoming foundational to protecting AI-native development environments. With RSA Conference on the h...
-
Why eBPF Is Redefining How Software R...
Bill Mulligan, a governing board member of the eBPF Foundation, unpacks new research highlighting how organizations are adopting eBPF to deploy high-performance software directly inside the Linux kernel. By moving observability, networking and security functions closer to the kernel, enterprises ...
