65% of Leading AI Companies Found With Verified Secrets Leaks
A new study has revealed 65% of top AI firms have leaked sensitive data on GitHub, risking $400bn in assets
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Background for this topic.
GitHub is a hosted software-development platform built around Git repositories. It supports public and private source-code hosting, change review through pull requests, issue tracking, automated workflows, and package distribution. Its repositories and automation are important security assets because they can contain proprietary code, deployment instructions, credentials, and the components used to build released software.
Material risks include accidentally committing secrets, exposing private repositories through misconfigured permissions, and allowing compromised dependencies or workflow actions to run in trusted build environments. Pull requests from untrusted contributors can also become an execution path when workflows handle them unsafely. Security practice includes least-privilege access, strong authentication, protected branches and required reviews, secret scanning and rapid credential revocation, and auditing workflow permissions. Repository history, dependency metadata, and commit provenance can support vulnerability management and incident investigation, but deleting a leaked secret from the latest file does not remove it from historical commits or existing clones.
A new study has revealed 65% of top AI firms have leaked sensitive data on GitHub, risking $400bn in assets