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Pinecone

pinecone.io

Fair
Top 74%of 19 data infrastructure vendors measured

Managed vector database for AI applications at scale.

data infrastructure⚠ Unverified — automated scan only, no vendor confirmationScanned 9/6/2026Added 9/3/2026

Score breakdown

Governance+0/31 bonus pts

SOC 2 Type I

Not found0

SOC 2 Type II

Unverified0

Source: trust.pinecone.io · Scanned 9/6/2026

ISO 42001

Not found0

HIPAA

Unverified0

Source: trust.pinecone.io · Scanned 9/6/2026

ISO 27001

Not found0

Board-level oversight

Requires vendor submission — not yet collected.

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.

Incident historypending

Signals planned: breach-history lookup, incident response quality assessment. This category is coming soon.

Verification bonus+0/5 bonus pts

Claimed profile

Domain ownership verified by claiming the profile0/5
Security hygiene & transparency13/28 pts

Security headers

Content-Security-Policy header0/3
X-Frame-Options header0/2
X-Content-Type-Options: nosniff0/2
Referrer-Policy header0/1

Source: response headers from pinecone.io · Scanned 9/6/2026

Disclosure policy

Security disclosure page found+3
Page references vulnerability reporting0/2

Source: pinecone.io/security · Scanned 9/6/2026

security.txt

security.txt file foundFail
Contact field present0/2
Expires field present0/2
Encryption field present0/1

Trust page

Public trust/security page found+5

HTTPS + HSTS

HTTP redirects to HTTPS+3
HSTS header enforced+2

Source: response headers from pinecone.io · Scanned 9/6/2026

Rubric v1.3.0 · 13/28 implemented pts · click a category to see details

Current:Fair
With verification:Good(+5pts)
Claim this profile to improve your grade →

Score history (5 updates)

↑ improving
F · 8/38pts · v1C- · 16.45/38pts · v2D- · 8/28pts · v3C- · 13/28pts · v4 · recompute (no rescan)C- · 13/28pts · v5
v1F → C- → D- → C- → C-v5

Score history

v4

Grade improved: D- → C-

Score +5pts (8 → 13)

trustPagePresence.found added (+pts)

Recomputed from already-known data, not a full rescan

9/6/2026

v3

Grade dropped: C- → D-

Score -8.45pts (16.45 → 8)

9/6/2026

v2

Grade improved: F → C-

Score +8.45pts (8 → 16.45)

9/3/2026

Scanned 3d ago

Certifications & disclosures

Something look wrong? Signed-in users can flag a certification below — an Entropy admin reviews every report.

AI models used

Self-disclosed · unconfirmedLlama (Meta)MixtralGPT-3.5 (OpenAI)Stable Diffusion

Found in pinecone.io’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
  • Llama (Meta) — “- [Getting started with llama-text-embed-v2](https://www.pinecone.io/learn/nvidia-for-pinecone-inference/md/) (2025-02-19)(llms.txt)
  • Mixtral — “- [Getting Started with Mixtral 8X7B](https://www.pinecone.io/learn/mixtral-8x7b/md/) (2023-12-20)(llms.txt)
  • GPT-3.5 (OpenAI) — “- [Fine-Tuning OpenAI's GPT 3.5 Turbo](https://www.pinecone.io/learn/fine-tune-gpt-3.5/md/) (2023-08-28)(llms.txt)
  • Stable Diffusion — “- [Making Stable Diffusion Faster with Intelligent Caching](https://www.pinecone.io/learn/faster-stable-diffusion/md/) (2023-06-30)(llms.txt)

View the full llms.txt snapshot Entropy captured →