Developer of ChatGPT and the GPT model family with published safety, usage, and privacy policies.
Last updated: 2/22/2026, 8:47:40 PM
Coverage posture mix across tracked sources.
Distribution
Coverage gaps
Source posture is a signal based on disclosed framing; Unknown means not yet classified.
Primary summary: pillar posture, product surfaces, coverage posture mix, and recent verified changes.
Products are the visible surfaces where disclosures and controls are observed. This section is descriptive; pillar scores remain entity-level until product scoring is configured.
Often the most user-facing surface; posture signals here are usually driven by product policy, safety settings, and disclosure quality.
Video-generation surfaces tend to concentrate impersonation and youth-safety risk surfaces; signals should be evidence-linked and confidence-scored.
Code-generation surfaces are often evaluated through security controls, abuse prevention, and disclosure of data handling for prompts and code.
Image-generation surfaces commonly hinge on moderation controls, watermark/provenance disclosures, and repeatable enforcement details.
These updates were approved by an admin and may affect posture signals or monitored sources.
Signals around content moderation policies, harm-reduction controls, and enforcement of published guardrails.
Confidence: 3/5
Signals around data collection, retention, sharing practices, and user control over personal information.
Evidence: --
Signals around vulnerability disclosure, incident response, authentication standards, and infrastructure security.
Evidence: --
Signals around age-verification, parental controls, and safeguards for vulnerable user populations.
Evidence: --
Mismatch between stated minimum age and platform/third-party ratings.
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Signals are based on public disclosures only. Nothing here constitutes legal, regulatory, or investment advice.