Rapid7 was granted a patent for opinion-based vulnerability assessment.

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  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-30T17:19:39+00:00",
  "company": {
    "name": "Rapid7",
    "domain": "rapid7.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06F 21/577",
        "label": "Electric digital data processing"
      },
      {
        "code": "G06N 5/04",
        "label": "Computing arrangements based on specific computational models"
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        "label": "Computing arrangements based on specific computational models"
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    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Cyber Security",
      "Artificial Intelligence"
    ],
    "detail": "In September 2026 Rapid7 patented machine-learning technology for prioritizing cybersecurity vulnerabilities by combining vulnerability characteristics with expert threat judgments.",
    "summary": "Rapid7 was granted a patent for opinion-based vulnerability assessment.",
    "event_at": "2026-09-29",
    "inventors": [
      {
        "name": "Wah-Kwan Lin",
        "status": "unresolved",
        "is_primary": true
      }
    ],
    "tech_area": "software / computing",
    "event_kind": "grant_date",
    "grant_date": "2026-09-29",
    "source_url": "https://patents.google.com/patent/US12748858",
    "cpc_primary": {
      "code": "G06F 21/577",
      "label": "Electric digital data processing"
    },
    "patent_title": "Vulnerability assessment using opinionated threat assessment model",
    "patent_number": "US12748858",
    "uspto_assignee": "Rapid7, Inc.",
    "patent_abstract": "Disclosed herein are methods, systems, processes, and machine learned models for performing opinionated threat assessments for cybersecurity vulnerabilities. An opinionated threat assessment system is implemented that obtains a training dataset that includes a codified opinionated threat assessment for security vulnerabilities. The codified opinionated threat assessment in the training dataset includes intrinsic attributes for the security vulnerabilities and subject attributes about the security vulnerabilities. The opinionated threat assessment system trains an opinionated threat assessment model using the training dataset and according to a machine learning technique where the training tunes the opinionated threat assessment model to generate a machined learned opinionated threat assessment for a new security vulnerability based on new intrinsic attributes associated with the new security vulnerability.",
    "precision_class": "structural",
    "invention_explanation": "A system that learns from recorded security assessments to judge which software vulnerabilities pose the greatest threat.",
    "technologies_mentioned": [
      "vulnerability assessment",
      "machine learning",
      "cybersecurity"
    ]
  }
}

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curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"rapid7.com","limit":20}'