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Incident 571: Accidental Exposure of 38TB of Data by Microsoft's AI Research Team

Description: Microsoft's AI research team accidentally exposed 38TB of sensitive data while publishing open-source training material on GitHub. The exposure included secrets, private keys, passwords, and internal Microsoft Teams messages. The team utilized Azure's Shared Access Signature (SAS) tokens for sharing, which were misconfigured, leading to the wide exposure of data.

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Alleged: Microsoft's AI Research Division developed an AI system deployed by Microsoft, which harmed Microsoft , Microsoft employees and Third parties relying on the confidentiality of the exposed data.

Incident Stats

Incident ID
571
Report Count
1
Incident Date
2023-06-22
Editors
Applied Taxonomies
MIT

MIT Taxonomy Classifications

Machine-Classified
Taxonomy Details

Risk Subdomain

A further 23 subdomains create an accessible and understandable classification of hazards and harms associated with AI
 

2.1. Compromise of privacy by obtaining, leaking or correctly inferring sensitive information

Risk Domain

The Domain Taxonomy of AI Risks classifies risks into seven AI risk domains: (1) Discrimination & toxicity, (2) Privacy & security, (3) Misinformation, (4) Malicious actors & misuse, (5) Human-computer interaction, (6) Socioeconomic & environmental harms, and (7) AI system safety, failures & limitations.
 
  1. Privacy & Security

Entity

Which, if any, entity is presented as the main cause of the risk
 

Human

Timing

The stage in the AI lifecycle at which the risk is presented as occurring
 

Post-deployment

Intent

Whether the risk is presented as occurring as an expected or unexpected outcome from pursuing a goal
 

Unintentional

Incident Reports

Reports Timeline

Incident Occurrence38TB of data accidentally exposed by Microsoft AI researchers
38TB of data accidentally exposed by Microsoft AI researchers

38TB of data accidentally exposed by Microsoft AI researchers

wiz.io

38TB of data accidentally exposed by Microsoft AI researchers
wiz.io · 2023
  • Microsoft’s AI research team, while publishing a bucket of open-source training data on GitHub, accidentally exposed 38 terabytes of additional private data — including a disk backup of two employees’ workstations. 

  • The backup includes …

Variants

A "variant" is an incident that shares the same causative factors, produces similar harms, and involves the same intelligent systems as a known AI incident. Rather than index variants as entirely separate incidents, we list variations of incidents under the first similar incident submitted to the database. Unlike other submission types to the incident database, variants are not required to have reporting in evidence external to the Incident Database. Learn more from the research paper.

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