Securing the software factory at machine speed

This post introduces a new operating thesis for security in the age of AI and agentic systems, emphasizing that detection is not defense. It outlines a three-layer approach to machine-speed defense: 1. Proactive discovery using AI models on code, infrastructure, and deployment paths. 2. Strengthening the foundation with continuous scanning, secret management, agentic remediation, policy enforcement in the execution path, and treating agents as privileged actors. 3. Protecting shipped software by continuously scanning and reassessing production. It highlights the use of GitLab Duo Agent Platform for continuous triage and remediation and mentions Project Glasswing with Anthropic's models for critical systems. The post emphasizes measuring time from detection to verified remediation as the key metric and discusses the architectural problem of the 'shadow software factory' created by agents operating outside governed systems.