Skip to main content
CrowdStrikePatent grant

CrowdStrike was granted a patent for predicting vulnerability exploitation risk

What happened

In September 2026 CrowdStrike patented risk-scoring technology for prioritizing vulnerabilities across enterprise computing environments and endpoint networks.

Source

patents.google.comSep 29, 2026

US patent US12748852

Vulnerability risk prediction engine

Abstract

A system and method of predicting the probability of exploitation of vulnerabilities of a computing environment. The method includes acquiring one or more environment variables associated with a computing environment. The method includes identifying a vulnerability in the computing environment based on a vulnerability database (VDB) and the one or more environment variables associated with the computing environment. The method includes generating an input dataset based on behavioral-based endpoint detection and response (EDR) data associated with the vulnerability. The method includes providing the input dataset to one or more predictive models respectively trained to predict probabilities of exploitation of vulnerabilities of computing environments based on the input dataset. The method includes generating, by a processing device, a vulnerability risk score for the vulnerability of the computing environment based on the input dataset and the one or more predictive models.

patents.google.com/patent/US12748852Read the full source

Extracted by Autobound

From the Signal API record
Signal
Patent grant

What this signalsA new patent often shows where a company is putting its R&D budget.

Grant date
Sep 29, 2026
Inventors
4
Tech area
software / computing
Patent number
US12748852

The full record

From the Signal API record

People

  • Daniel KahanInventor
  • Adrian Bledea-GeorgescuInventor
  • Cynthia LaiInventor
  • Jeff KaplanInventor
  • Joe FaulhaberInventor
  • Anand VisvanathanInventor

Details

Primary CPC class
G06F 21/577 (Electric digital data processing)
USPTO assignee
CrowdStrike, Inc.
What the invention does
A system that combines vulnerability records with details about an organization’s environment and endpoint behavior to estimate which weaknesses attackers are most likely to exploit.

Topics and mentions

Tags

  • Intellectual Property
  • Research & Development
  • Cyber Security
  • Information Security
  • Threat Intelligence

Technologies named

  • vulnerability management
  • endpoint security
  • risk prediction
  • cybersecurity analytics

Extraction

Detected
Sep 30, 2026
signal_type
patents-company
signal_subtype
patentGrant

Use this data

Get every patent signal for CrowdStrike and the companies you sell to, in the tools you already use.

  1. Ask Claude about it

    Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at CrowdStrike this week?”

  2. Send it to your own tools

    The Signal API returns patent signals for any list of companies as JSON, for your CRM, warehouse or app.

  3. Try it free

    Sign up and spend your free credits on the companies you sell to.

    Start Free1,000 free credits

The API returns more than this page shows

This page shows a preview. The full patents-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/4f31743f-2e6a-5124-9f82-8f9e877a54b6 returns this record as JSON. POST /v1/companies/enrich returns every signal for crowdstrike.com.

{
  "signal_id": "4f31743f-2e6a-5124-9f82-8f9e877a54b6",
  "signal_type": "patents-company",
  "signal_subtype": "patentGrant",
  "detected_at": "2026-09-30T17:19:25+00:00",
  "company": {
    "name": "CrowdStrike",
    "domain": "crowdstrike.com"
  },
  "data": {
    "cpc": [
      {
        "code": "G06F 21/577",
        "label": "Electric digital data processing"
      },
      {
        "code": "H04L 63/1433",
        "label": "Transmission of digital information"
      },
      {
        "code": "G06F 2221/034",
        "label": "Electric digital data processing"
      },
      {
        "code": "H04L 63/1416",
        "label": "Transmission of digital information"
      }
    ],
    "tags": [
      "Intellectual Property",
      "Research & Development",
      "Cyber Security",
      "Information Security",
      "Threat Intelligence"
    ],
    "detail": "In September 2026 CrowdStrike patented risk-scoring technology for prioritizing vulnerabilities across enterprise computing environments and endpoint networks.",
    "summary": "CrowdStrike was granted a patent for predicting vulnerability exploitation risk",
    "event_at": "2026-09-29",
    "inventors": [
      {
        "name": "Daniel Kahan",
        "status": "resolved",
        "is_primary": true,
        "linkedin_url": "https://www.linkedin.com/in/danieljeremykahan"
      },
      {
        "name": "Adrian Bledea-Georgescu",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Cynthia Lai",
        "status": "unresolved",
        "is_primary": false
      },
      {
        "name": "Jeff Kaplan",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/jeffreykaplan"
      },
      {
        "name": "Joe Faulhaber",
        "status": "resolved",
        "is_primary": false,
        "linkedin_url": "https://www.linkedin.com/in/joe-faulhaber-6000891"
      },
      {
        "name": "Anand Visvanathan",
        "status": "unresolved",
        "is_primary": false
      }
    ],
    "tech_area": "software / computing",
    "event_kind": "grant_date",
    "grant_date": "2026-09-29",
    "source_url": "https://patents.google.com/patent/US12748852",
    "cpc_primary": {
      "code": "G06F 21/577",
      "label": "Electric digital data processing"
    },
    "patent_title": "Vulnerability risk prediction engine",
    "patent_number": "US12748852",
    "uspto_assignee": "CrowdStrike, Inc.",
    "patent_abstract": "A system and method of predicting the probability of exploitation of vulnerabilities of a computing environment. The method includes acquiring one or more environment variables associated with a computing environment. The method includes identifying a vulnerability in the computing environment based on a vulnerability database (VDB) and the one or more environment variables associated with the computing environment. The method includes generating an input dataset based on behavioral-based endpoint detection and response (EDR) data associated with the vulnerability. The method includes providing the input dataset to one or more predictive models respectively trained to predict probabilities of exploitation of vulnerabilities of computing environments based on the input dataset. The method includes generating, by a processing device, a vulnerability risk score for the vulnerability of the computing environment based on the input dataset and the one or more predictive models.",
    "precision_class": "structural",
    "invention_explanation": "A system that combines vulnerability records with details about an organization’s environment and endpoint behavior to estimate which weaknesses attackers are most likely to exploit.",
    "technologies_mentioned": [
      "vulnerability management",
      "endpoint security",
      "risk prediction",
      "cybersecurity analytics"
    ]
  }
}

Long text fields are shortened on this page.

Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.