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OSINT Insights: Precise Signals in a Noisy World

What happened

Dataminr's Global Field CTO discusses OSINT challenges and thoughtful AI model calibration.

Source

YouTubeJun 17, 2026

Fed Gov Today

OSINT Insights: Precise Signals in a Noisy World

views
350
comments
0

Video description

Tim Miller, Global Field CTO and Chief Cybersecurity Strategist at Dataminr, frames the core OSINT challenge as a signal-to-noise problem - and argues that the analytical community is, on the whole, approaching it more thoughtfully than many other technology-adjacent fields. Rather than layering AI on top of existing workflows and hoping for improvement, the more effective practitioners are asking a harder question: how do we ensure the AI models we're using are actually calibrated for the preci

youtube.com/watchRead the full source

Extracted by Autobound

From the Signal API record
Signal
YouTube

What this signalsCompany videos often show what the team is pushing right now.

Channel
Fed Gov Today

More YouTube signals at other companies

The full record

From the Signal API record

Topics and mentions

Tags

  • Cybersecurity
  • OSINT
  • AI

Pain points

  • signal-to-noise problem in OSINT
  • ensuring AI models are properly calibrated for specific tasks

Extraction

Detected
Jul 14, 2026
signal_type
youtube-company
signal_subtype
youtubeVideo

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The API returns more than this page shows

This page shows a preview. The full youtube-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/7b3b2f36-2337-46f8-9af0-f25742fad83a returns this record as JSON. POST /v1/companies/enrich returns every signal for dataminr.com.

{
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  "signal_type": "youtube-company",
  "signal_subtype": "youtubeVideo",
  "detected_at": "2026-07-14T09:29:14.668+00:00",
  "company": {
    "name": "Dataminr",
    "domain": "dataminr.com"
  },
  "data": {
    "tags": [
      "OSINT",
      "AI",
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    "summary": "Dataminr's Global Field CTO discusses OSINT challenges and thoughtful AI model calibration.",
    "videoLink": "https://www.youtube.com/watch?v=boiKNQezf0g",
    "viewCount": "350",
    "pain_points": [
      {
        "topic": "signal-to-noise problem in OSINT",
        "intensity": 0.6
      },
      {
        "topic": "ensuring AI models are properly calibrated for specific tasks",
        "intensity": 0.7
      }
    ],
    "publishedAt": "2026-06-17T23:34:43Z",
    "video_title": "OSINT Insights: Precise Signals in a Noisy World",
    "channelTitle": "Fed Gov Today",
    "commentCount": "0",
    "video_description": "Tim Miller, Global Field CTO and Chief Cybersecurity Strategist at Dataminr, frames the core OSINT challenge as a signal-to-noise problem - and argues that the analytical community is, on the whole, approaching it more thoughtfully than many other technology-adjacent fields. Rather than layering AI on top of existing workflows and hoping for improvement, the more effective practitioners are asking a harder question: how do we ensure the AI models we're using are actually calibrated for the preci",
    "technologies_mentioned": [
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        "status": "using"
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        "status": "using"
      }
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    "company_youtube_channel_url": "https://www.youtube.com/channel/UCXBoDQjj_don5_4Xuagnozw"
  }
}

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