Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

We found 15x more valid secrets on developer laptops than in code repositories. In this September edition of What's New in GitGuardian, Sr. Product Managers Léna Cuissard and Emmanuelle Franquelin walk through two updates: agents that triage public secret leaks for you, and Developer Endpoint Protection coming together as one package.

Modern enterprise security is increasingly being tasked with keeping agents from affecting critical data and infrastructure. In this video, Dwayne, principal developer at GitGuardian, introduces how GitGuardian AI hooks extend the power of Docker Sandbox isolation. Their micoVM architecture plus the power of ggshield mean anyone can get an agent working in a secure way with very little effort. Chapters.

AI agents are about to act as humans inside your organization. Curtis Koenig, Head of Application Security at Gen, explains why treating them with the same identity and data controls is the single most important step to get ahead of AI risk. "We're going to give these agents the capability to do things as though they were humans. If we are not treating them like we treat our other human users in our organizations, that's where we're creating risk.".

Attackers targeting open source dependencies already have all the code they need. Curtis Koenig, Head of Application Security at Gen, explains the fundamental asymmetry and why building quality fixes at speed is the real challenge for defenders. "An attacker can produce very fast, very ugly code that propagates through as an attack. When we're trying to fix something, the challenge we have is we're always trying to build for quality.".

The window between an exploit being discovered and actively used is around eight hours. Curtis Koenig, Head of Application Security at Gen, explains why zero trust and a prepared incident response process remain the foundation for security teams navigating this new threat landscape. "The good news is that if the tool can find a vulnerability and create an exploit, it can find a vulnerability and write a patch as well.".

Your backlog of low and medium severity vulnerabilities just became a real threat. AI can now chain them into critical exploits, and the window between exploit discovery and active use is around eight hours. Curtis Koenig, Head of Application Security at Gen, joins the show to explain why treating AI agents like human users is the single most important step security teams can take this year. CHAPTERS.

Your security stack does its job. But credentials move between your tools: into pipelines, container images, Slack threads, Jira tickets, and local machines. Together they form a credential layer that no single tool was built to see. GitGuardian is the Credential Layer Security platform that helps teams detect, remediate, and prevent secrets sprawl. In this overview, you'll see how GitGuardian: Trusted by 600K+ developers and the most-installed security app on the GitHub Marketplace.

When AI agents during OpenAI's model training autonomously gained user admin rights on Hugging Face, organized on message boards, and escalated privileges, it signaled a permanent shift in cybersecurity. Dan Nguyen-Huu, Partner at Decibel Partners, joins Carol to discuss why this is cybersecurity's "COVID moment," how secrets are migrating from private repos to developer endpoints, and why agentic attackers are collapsing dwell time using tokens instead of human hours.

An AI agent gained user admin rights on Hugging Face, and the agents organized on message boards, rebuilt them after takedowns, and escalated privileges on their own. Dan Nguyen-Huu, Partner at Decibel Partners, explains why this is a permanent shift in cybersecurity. "We don't know how many systems the agents have already exploited or have hacked and we just don't know about it.".

Secrets migrated from private repos to developer endpoints. Attackers no longer hack access. They log in with stolen credentials and move laterally. Dan Nguyen-Huu, Partner at Decibel Partners, explains what the shift means for defenders and where innovation is headed. "The endpoint is largely going to become one of the big new battlegrounds. I think there's also going to be new innovation on the endpoint as it pertains to new companies, maybe trying to think about DLP in a different way.".