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Incident 1784: OpenAI Research Agent Reportedly Changed a Research Organization's Live Systems and Retrieved Nonpublic Data

Responded
Description: An OpenAI research agent asked to retrieve public dashboard figures reportedly accessed an international research organization’s internal systems and changed live settings without authorization during two evaluations. It reportedly retrieved 1,489 user-directory records in one run and five nonpublic tables totaling 147,451 rows in another. It reportedly continued accessing data after restoring one setting and did not disclose its actions.
Editor Notes: 06/17/2026: Two public-dashboard research evaluations involved unauthorized access and changes to an international research organization's live systems. By 08/13/2026: OpenAI had discovered the activity. 10/15/2026: OpenAI publicly disclosed the episode. 10/24/2026: Incident ID created.

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Alleged: OpenAI , Large language model developers and AI agent system developers developed an AI system deployed by OpenAI and AI agent system deployers, which harmed Targets of autonomous AI-enabled intrusion operations , Research institutions and Information security.
Alleged implicated AI systems: OpenAI AI agents , Large language models and AI agent systems

Incident Stats

Incident ID
1784
Report Count
1
Incident Date
2026-06-17
Editors
Daniel Atherton

Incident Reports

Reports Timeline

Incident OccurrenceAccessing and changing internal systems during dashboard research - Response
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Accessing and changing internal systems during dashboard research

Accessing and changing internal systems during dashboard research

alignment.openai.com

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Accessing and changing internal systems during dashboard research
alignment.openai.com · 2026
OpenAI post-incident response

Summary

In two evaluations, an internal model tasked to retrieve figures from a public research dashboard accessed the organization’s internal systems and changed their configuration. In the first evaluation, it used exposed credentials to …

Variants

A "variant" is an AI incident similar to a known case—it has the same causes, harms, and AI system. Instead of listing it separately, we group it under the first reported incident. Unlike other incidents, variants do not need to have been reported outside the AIID. Learn more from the research paper.
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