Last seen October 15, 2025

AI Security Vulnerability

A Stanford study reveals that leading AI companies, including Anthropic, Google, and OpenAI, are defaulting to using user chat inputs for large language model (LLM) training. This practice, combined with opaque privacy policies and long data retention, creates significant privacy vulnerabilities, risking the collection and unintended use of sensitive personal and children's data.

Technical Severity
Low severity
Lifecycle Status

STABLE

What Happened

A Stanford study reveals that leading AI companies, including Anthropic, Google, and OpenAI, are defaulting to using user chat inputs for large language model (LLM) training. This practice, combined with opaque privacy policies and long data retention, creates significant privacy vulnerabilities, risking the collection and unintended use of sensitive personal and children's data.

Why This Matters

Current evidence identifies a security issue involving the affected technology, but does not yet support a more specific impact claim.

Recommended Action

No confirmed vendor remediation is available in the current evidence. Confirm whether the affected technology is present in your environment and review the affected configuration.

Exposure

My AI Stack Exposure

Exposure unknown

Recommended Response
Last Seen

Oct 15, 2025 05:30

Exposure reason: This incident does not currently match a technology in My AI Stack.

Exploitation status: UNKNOWN

Primary entities:

AnthropicGoogleOpenAIanthropics/anthropic-sdk-pythonopenai/openai-python

Timeline

  • Incident first seen
    Oct 15, 2025 05:30

    BugSkan first recorded this incident.

  • Be Careful What You Tell Your AI Chatbot - Stanford HAI
    Oct 15, 2025 05:30

    hai.stanford.edu · Research

Sources

Be Careful What You Tell Your AI Chatbot - Stanford HAI

hai.stanford.edu · Oct 15, 2025 05:30

A Stanford study reveals that leading AI companies, including Anthropic, Google, and OpenAI, are defaulting to using user chat inputs for large language model (LLM) training. This practice, combined with opaque privacy policies and long data retention, creates significant privacy vulnerabilities, risking the collection and unintended use of sensitive personal and children's data.

Open publisher source

My AI Stack Match

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