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Gartner10-K: Cybersecurity investment

Facing IP protection challenges from AI development and unauthorized access

Read at SEC EDGAR

What happened

Gartner is concerned that existing copyright laws are inadequate to protect its proprietary content from being used to train AI models, potentially devaluing their core intellectual property. This creates a need for enhanced IP protection and content security technologies.

Source

SEC EDGARFeb 12, 2026

Annual report (Form 10-K)

Gartner 10-K for FY2025

Filing excerpt

If we are unable to enforce and protect our intellectual property rights, our competitive position may be harmed.

sec.gov/Archives/edgar/data/749251/000074925126000112/it-20251231.htmRead the full source

Other signals in this filing (11)

Extracted by Autobound

From the Signal API record
Signal
10-K: Cybersecurity investment

What this signalsFilings often name leadership changes, deals and spending plans.

Period
FY2025
Fiscal year end
12/31
Filed
Feb 12, 2026

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The full record

From the Signal API record

Details

CIK
749251
Accession number
0000749251-26-000112
Filing year
2026
Why it matters
Security vendor opportunity
Signal category
Technology

Topics and mentions

Technologies

  • AI
  • machine learning

Extraction

Confidence
High
Relevance
70%
Sentiment
Negative
Detected
Feb 17, 2026
signal_type
sec-10k
signal_subtype
cybersecurityInvestment

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This page shows a preview. The full sec-10k 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
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Show the full JSONThe record on this page and the API request

GET /v1/signals/76ebb65b-2bc4-4e9c-8364-d1f75b0ceed1 returns this record as JSON. POST /v1/companies/enrich returns every signal for gartner.com.

{
  "signal_id": "76ebb65b-2bc4-4e9c-8364-d1f75b0ceed1",
  "signal_type": "sec-10k",
  "signal_subtype": "cybersecurityInvestment",
  "detected_at": "2026-02-17T06:34:29.808+00:00",
  "company": {
    "name": "Gartner",
    "domain": "gartner.com"
  },
  "data": {
    "detail": "Gartner is concerned that existing copyright laws are inadequate to protect its proprietary content from being used to train AI models, potentially devaluing their core intellectual property. This creates a need for enhanced IP protection and content security technologies.",
    "summary": "Facing IP protection challenges from AI development and unauthorized access",
    "excerpts": "If we are unable to enforce and protect our intellectual property rights, our competitive position may be harmed.",
    "relevance": 0.7,
    "sentiment": "negative",
    "confidence": "high",
    "source_url": "https://www.sec.gov/Archives/edgar/data/749251/000074925126000112/it-20251231.htm",
    "filing_date": "2026-02-12",
    "filing_year": 2026,
    "fiscal_year_end": "12/31",
    "sales_relevance": "Security vendor opportunity",
    "signal_category": "technology",
    "technologies_mentioned": [
      "AI",
      "machine learning"
    ]
  }
}

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