Crash Override offers the world’s first and only deep build inspection technology that makes AI coding adoption fully visible so you can discover what's being used and where, increase adoption, and secure it.
Automatically catalog AI tools and code across your entire engineering organization to see which tools are in use, where AI code is being deployed, and how adoption is spreading.
Give security the visibility and controls to manage AI risk while developers keep shipping. Set guardrails that protect the organization without creating friction, so more teams can adopt AI safely and confidently.
Use out-of-the-box campaigns to drive AI tool usage into more teams and workflows, measure what's working, and optimize how developers use AI to deliver real productivity gains across your organization.
Engineering and security leaders need visibility into AI coding tools, including what developers are using, where AI-generated code is going, and whether it's creating risk or delivering value.
Crash Override uses deep build inspection to give you complete visibility across your software development lifecycle. We automatically discover AI tool usage, measure productivity impact, and give you the controls to secure it, all without slowing developers down.
Deploy in minutes. Get a single view of AI adoption across code, builds, artifacts, and deployments. Eliminate blind spots, accelerate adoption safely, and prove business value.
Give us 30 minutes to demonstrate what Crash Override can do and how it solves DevOps difficulties.
Crash Override easily embeds into your CI/CD with a one‑time deploy: four lines of YAML in GitHub or GitLab. Think of it like an AirTag attached to every commit, artifact, and pipeline.
Those “AirTags” automatically track and report every deployment for every artifact, across all your cloud and compute platforms.
For each build, we continuously capture:
All of that data is correlated so that you can analyze the entire lifecycle of each build. You see exactly what’s running and where, including where AI shows up, detect deployment variants and configuration drift, and trace issues back to their origin with a continuous, traceable view from code to cloud.
