Supported Entity Types

Private AI supports over 50 unique entity types, including their counterparts in each of our Core Support languages as detailed on our Supported Languages page. The complete inventory of supported entity types is listed in the charts below, divided into four groups: PII (Personally Identifiable Information), PHI (Protected Health Information), PCI (Payment Card Industry), and Beta Entity Types (see that section for information on how to enable Beta classes). In addition to our standard entities, Private AI's Pro Tier offers custom entity types. For details, see Pricing.

Note that some entities, such as NAME and LOCATION, also have subtypes. For instance, LOCATION_CITY is a subtype of LOCATION. This means that, in a phrase such as I live in Boston, the location name Boston will be detected as both LOCATION and LOCATION_CITY, with the more specific label (in this case, LOCATION_CITY) appearing in the output. Other entity types are groupings of related categories. For example, HEALTHCARE_NUMBER captures health plan beneficiary numbers and medical record numbers, both of which are outlined as identifiers in the HIPAA Safe Harbor provision. Similarly, NUMERICAL_PII covers a broad range of entity types such as MAC addresses and cookie IDs.

While our entity types have English names, international variants are also redacted. For example, SSN covers American Social Security Numbers, as well as many equivalent identification numbers used in different regions worldwide, such as the Canadian Social Insurance Number or the German Sozialversicherungsnummer. Where applicable, this information can be viewed under More Details, including the names of entities supported in various languages and locales.

Supported Regulations

Private AI offers coverage of the following regulations:

• EU General Data Protection Regulation (GDPR)
• California Privacy Rights Act (CPRA)
• USA Health Insurance Portability and Accountability Act (HIPAA Safe Harbor)
• Quebec Privacy Act (law 25)
• Japan Act on the Protection of Personal Information (APPI) .

In addition, our entity categorizations are sensitive to unlisted data protection regulations. For example, when using our de-identification tool, you can select between a set of entities defined by the GDPR as personal data and a set of entities defined by the GDPR as sensitive data. Sensitive data is a more restricted subset of personal data that cannot be processed without a documented, lawful reason, according to Article 9 of the GDPR. In general, we recommend using the broader category GDPR. The relevant regulations for each entity type can be found in the charts below.

You can learn more about the supported regulations and how to configure the de-identification service to meet your own needs in our Customizing Detection Guide.

{
   "text": [
      "In the last quarter, our revenues grew faster which led us to acquire one of our smaller competitors"
   ],
   "link_batch": true,
   "processed_text": {
      "type": "MARKER",
      "pattern": "[BEST_ENTITY_TYPE]"
   },
   "entity_detection": {
      "accuracy": "high",
      "entity_types": [
        { "type": "ENABLE", "value": ["TREND", "FINANCIAL_METRIC", "CORPORATE_ACTION"]}
      ]
   }
}

[
  {
    "processed_text": "In the last quarter, our [FINANCIAL_METRIC] [TREND] which led us to [CORPORATE_ACTION]",
    "entities": [
      {
        "processed_text": "FINANCIAL_METRIC",
        "text": "revenues",
        "location": {
          "stt_idx": 25,
          "end_idx": 33,
          "stt_idx_processed": 25,
          "end_idx_processed": 43
        },
        "best_label": "FINANCIAL_METRIC",
        "labels": {
          "FINANCIAL_METRIC": 0.9445
        }
      },
      {
        "processed_text": "TREND",
        "text": "grew faster",
        "location": {
          "stt_idx": 34,
          "end_idx": 45,
          "stt_idx_processed": 44,
          "end_idx_processed": 51
        },
        "best_label": "TREND",
        "labels": {
          "TREND": 0.8404
        }
      },
      {
        "processed_text": "CORPORATE_ACTION",
        "text": "acquire one of our smaller competitor",
        "location": {
          "stt_idx": 62,
          "end_idx": 99,
          "stt_idx_processed": 68,
          "end_idx_processed": 86
        },
        "best_label": "CORPORATE_ACTION",
        "labels": {
          "CORPORATE_ACTION": 0.9806
        }
      }
    ],
    "entities_present": true,
    "characters_processed": 99,
    "languages_detected": {
      "en": 0.9696551561355591
    }
  }
]