ServiceNow was granted a patent for synthetic-data anonymization.

{
  "signal_id": "62e350b8-4b12-55f4-aa83-d83dc0c229d3",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-10-30T00:33:42+00:00",
  "company": {
    "name": "ServiceNow",
    "domain": "servicenow.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06F 21/6254",
        "label": "Electric digital data processing"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Privacy",
      "Artificial Intelligence",
      "Information Security"
    ],
    "detail": "In October 2026 ServiceNow patented privacy technology for masking sensitive information in prompts and queries while preserving their formats for software and AI workflows.",
    "summary": "ServiceNow was granted a patent for synthetic-data anonymization.",
    "event_at": "2026-10-27",
    "inventors": [
      {
        "name": "Narendra Diwakar Vaidya",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/narendra-vaidya-767b702"
      },
      {
        "name": "Sid Ravindra Shetye",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Kamalendu Biswas",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/kbiswas"
      }
    ],
    "tech_area": "software / computing",
    "event_kind": "grant_date",
    "grant_date": "2026-10-27",
    "source_url": "https://patents.google.com/patent/US12775744",
    "cpc_primary": {
      "code": "G06F 21/6254",
      "label": "Electric digital data processing"
    },
    "patent_title": "Systems and methods for generating synthetic data for anonymization",
    "patent_number": "US12775744",
    "uspto_assignee": "ServiceNow, Inc.",
    "patent_abstract": "Systems and methods are provided for generating and using synthetic data to anonymize sensitive data in a query (e.g., a prompt) to preserve the data format and characteristics of the sensitive data while protecting the sensitive data. Sensitive data in a query are discovered or identified and synthetic data are generated for the sensitive data based on data patterns of the sensitive data. The synthetic data are used to replace (wholly or partially) the sensitive data in the query, resulting in an anonymized query, which is used to generate a query response. The query response is deanonymized so that the synthetic data are replaced with the corresponding sensitive data in the final query response.",
    "precision_class": "structural",
    "invention_explanation": "A method that identifies sensitive details in a query and swaps them with realistic stand-ins that retain the original structure without exposing the actual data.",
    "technologies_mentioned": [
      "synthetic data",
      "data anonymization",
      "privacy-preserving computing",
      "AI prompts"
    ]
  }
}

curl https://signals.autobound.ai/v1/signals/62e350b8-4b12-55f4-aa83-d83dc0c229d3 \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"servicenow.com","limit":20}'