Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI didn't just speed up software development, it changed what application security programs must defend. As AI coding assistants generate code at machine speed and developers integrate AI agents, models, and RAG pipelines into production, traditional scanners generate endless backlogs of unprioritized alerts.

ggshield v1.53.0 introduces ggshield machine setup, a consistent way to configure ggshield no matter how it was installed. Set up AI hooks for every detected AI coding assistant, install global git pre-commit/pre-push hooks, and deploy a honeytoken on the endpoint. You have full control, and we have options to customize which features you want to skip. This release also includes ggshield machine doctor, a read-only command that checks that the machine's ggshield protections are correctly set up, letting you know what steps to take if it encounters an issue.

AppSec teams are frequently told that a lack of bandwidth is why vulnerability backlogs keep growing. In reality, the bottleneck is not team size, it is the lack of contextual prioritization and agentic triage. When traditional scanners hand security teams thousands of findings without reachability context, developer velocity stalls. In this webinar, Mend.io security experts unpack why bandwidth is not the real bottleneck in modern software security and show you how to streamline triage, automate remediation, and secure code at AI speed.

AI didn't just speed up software development, it fundamentally changed the application attack surface. Traditional security scanners produce endless backlogs of unprioritized findings, leaving security teams struggling to identify what actually matters before code hits production.

This started as an employee contest at our all-hands and turned into one of the best things we've ever made. Meet the Teleportopia house band and yes, you might recognize some likenesses to real Teleporters. Don't make AI a silo. Give it an identity.