Snapshot 222475

Document

Subprocessor list

URL

https://www.nobl9.com/subprocessors

Fetched

2026-11-06 02:08:13 UTC

HTTP status

200

Content type

text/html; charset=UTF-8

Fetch mode

static

Size

168119 bytes

SHA-256 (raw)

51f932901cf264105ea90040847675f97a0bd00774d8f41768b22f313447e892

SHA-256 (normalized text)

cf7fbb2f12ded28ebe0fec37e2b4a0a482185d50d9329eec4ddd7310744a1e57

Parsed

What we read from this document, as JSON. Each entry names the snapshot it was read from.

{
  "entries": [
    {
      "kind": "subprocessor",
      "vendor": "amazon-web-services",
      "evidence_id": 222475,
      "data": {
        "name": "AWS",
        "purposes": [
          "Cloud hosting,",
          "storage services and AI model inference infrastructure"
        ],
        "sections": [
          "Subprocessors"
        ],
        "locations": [
          "EU"
        ],
        "data_categories": [
          "Names, usernames,",
          "email addresses, usage/technical logs, data contained in customer prompts or model outputs"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "sentry",
      "evidence_id": 222475,
      "data": {
        "name": "Functional Software, Inc.",
        "purposes": [
          "Tracking of usage-",
          "front-end",
          "related errors in Nobl9"
        ],
        "sections": [
          "Subprocessors"
        ],
        "locations": [
          "EU or US"
        ],
        "data_categories": [
          "Names, usernames,",
          "email addresses, IP addresses"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "google-cloud",
      "evidence_id": 222475,
      "data": {
        "name": "GCP",
        "purposes": [
          "Cloud hosting,",
          "storage services and AI model inference infrastructure"
        ],
        "sections": [
          "Subprocessors"
        ],
        "locations": [
          "US"
        ],
        "data_categories": [
          "Names, usernames,",
          "email addresses, usage/technical logs, data contained in customer prompts or model outputs"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "groundcover",
      "evidence_id": 222475,
      "data": {
        "name": "Groundcover",
        "purposes": [
          "Platform operations monitoring (logs)"
        ],
        "sections": [
          "Subprocessors"
        ],
        "locations": [
          "EU or US"
        ],
        "data_categories": [
          "Names, usernames,",
          "addresses",
          "email addresses, IP"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "hubspot",
      "evidence_id": 222475,
      "data": {
        "name": "Hubspot",
        "purposes": [
          "Customer relationship",
          "management"
        ],
        "sections": [
          "Subprocessors"
        ],
        "locations": [
          "EU or US"
        ],
        "data_categories": [
          "Names, usernames,",
          "email addresses"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "okta",
      "evidence_id": 222475,
      "data": {
        "name": "Okta",
        "purposes": [
          "Authentication,",
          "authorization of",
          "platform users"
        ],
        "sections": [
          "Subprocessors"
        ],
        "locations": [
          "EU or US"
        ],
        "data_categories": [
          "Names, usernames,",
          "email addresses, IP addresses"
        ]
      }
    },
    {
      "kind": "subprocessor",
      "vendor": "pendo",
      "evidence_id": 222475,
      "data": {
        "name": "Pendo",
        "purposes": [
          "Nobl9 Platform users",
          "Usage analytics of"
        ],
        "sections": [
          "Subprocessors"
        ],
        "locations": [
          "EU or US"
        ],
        "data_categories": [
          "Names, usernames,",
          "email addresses"
        ]
      }
    }
  ]
}