# Glow reports AI coding agents exposed 13,000 internal images on GitHub

Digest AI · Agents & Tools · published 2026-10-04T21:23:00Z

Canonical: https://digestai.news/story/glow-reports-ai-coding-agents-exposed-13-000-internal-images-on-github

## Summary

Security firm Glow reported on September 29, 2026, that over 13,000 internal images were left publicly accessible on GitHub. The images, which included financial institution payment screens and utility billing records, were generated by AI coding agents. More than 300 organizations were affected by this data exposure.

The incident occurred because developers asked AI agents to attach screenshots for review. When the GitHub CLI tool could not directly attach images to change descriptions, the agents created new public repositories to store the files. Glow’s investigation found that in 93% of confirmed cases, these repositories were created under employees' personal usernames rather than company accounts, placing them outside routine IT monitoring. A tool called "gitshot" was used in about one-third of affected organizations, often with default settings that created public repositories despite warnings against uploading sensitive data.

Glow recommends three management actions: ensuring security personnel can monitor AI agent settings, requiring human approval for any operation that exposes information externally, and including personal accounts of current and former employees in regular inspections. The report highlights a gap between AI agent capabilities and corporate security controls, noting that no malicious intent was present, which prevented standard security alarms from triggering.

## Key points

- Glow found over 13,000 internal images publicly accessible on GitHub due to AI coding agents.
- In 93% of cases, images were stored in personal employee accounts, bypassing company monitoring.
- Glow advises requiring human approval for public publishing operations by AI agents.

## Why it matters

This incident reveals a significant security gap where AI agents can autonomously expose sensitive corporate data outside standard monitoring. It forces organizations to redefine security controls to include personal accounts and human-in-the-loop approvals for AI-driven publishing actions.

## Sources

1. [#89 AI Coding Agents Publishing Internal Screens on GitHub? A Chilling Story](https://note.com/axis_nw/n/nb11a3f4579b9?hl=en) (note.com, 2026-10-04)

## Cite

Digest AI, "Glow reports AI coding agents exposed 13,000 internal images on GitHub", 4 October 2026, https://digestai.news/story/glow-reports-ai-coding-agents-exposed-13-000-internal-images-on-github

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