Comet
ML experiment tracking, model monitoring, and data versioning.
Score breakdown
Security hygiene & transparency13/28 pts
Source: response headers from comet.ml · Scanned 9/6/2026
Disclosure policy
Source: comet.ml/security · Scanned 9/6/2026
Trust page
Security headers
Source: response headers from comet.ml · Scanned 9/6/2026
AI safetypending
Signals planned: model card presence, training data disclosure, published red-team results. Some checks will be partially automated via website scanning; others require vendor submission.
Verification bonus+0/5 bonus pts
Claimed profile
Governance+0/31 bonus pts
Board-level oversight
Requires vendor submission — not yet collected.
Incident historypending
Signals planned: breach-history lookup, incident response quality assessment. This category is coming soon.
Rubric v1.3.0 · 13/28 implemented pts · click a category to see details
Add a PGP Encryption: field to /.well-known/security.txt to earn +1pt.
Score history (5 updates)
↑ improvingScore history
Grade improved: D- → C-
Score +5pts (8 → 13)
trustPagePresence.found added (+pts)
Recomputed from already-known data, not a full rescan
9/6/2026
Grade improved: F → D-
9/6/2026
Certifications & disclosures
- Found
Discovered at comet.ml/.well-known/security.txt on 9/6/2026
AI models used
Found in comet.ml’s llms.txt, captured by Entropy on 9/6/2026. Not vendor-confirmed — the vendor can confirm or correct this from their dashboard.
Show what we found
- Claude (Anthropic) — “- For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://www.comet.com/_mcp/server” (llms.txt)
- Gemini (Google) — “- [Configuring LLM Providers](https://www.comet.com/docs/opik/development/optimization-runs/optimization/configure_models.md): Learn how to configure different LLM providers like OpenAI, Anthropic, Ge…” (llms.txt)
- Llama (Meta) — “- [Observability for LlamaIndex with Opik](https://www.comet.com/docs/opik/integrations/llama_index.md): Start here to integrate Opik into your LlamaIndex-based genai application for end-to-end LLM ob…” (llms.txt)
- DeepSeek — “- [Observability for DeepSeek with Opik](https://www.comet.com/docs/opik/integrations/deepseek.md): Start here to integrate Opik into your DeepSeek-based genai application for end-to-end LLM observabi…” (llms.txt)
- Mistral — “- [Observability for Mistral AI (Python) with Opik](https://www.comet.com/docs/opik/integrations/mistral.md): Start here to integrate Opik into your Mistral AI-based genai application for end-to-end L…” (llms.txt)
- Grok (xAI) — “- [Observability for xAI Grok with Opik](https://www.comet.com/docs/opik/integrations/xai-grok.md): Start here to integrate Opik into your xAI Grok-based genai application for end-to-end LLM observabi…” (llms.txt)
Community Reviews
Not part of the Entropy score.
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