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  "created_at": "2026-10-10T15:00:28.546Z",
  "updated_at": "2026-10-10T15:03:10.190Z",
  "title": "Why Manual Governance Fails With AI Agents",
  "description": "80% of governance is still periodic and manual—but AI agents act constantly. That's why detecting breaches takes 6-9 months. Here's how hybrid governance catches issues in real time, across any cloud.",
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    "transcript_url": "https://reelsbuilder.ai/video/6aca530c75435c1147763f0a/transcript.txt",
    "transcript": "Your employees are going to innovate. You want to give them the tools to do that. Now, we know that the average governance solutions, 80% of the governance today is periodic and manual. \n\nAnd that's a problem when you are in a world where you've got lots of agents acting all the time. But it takes anywhere between six to nine months to pick up a model drift issue or breach. \n\nHow do we provide you with a hybrid solution that does governance across any applications, any cloud, any data, and also gives you the ability to tag and understand and react to alerts the minute there's a problem? \n\nso you can remediate this issue.",
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    "summary": "80% of governance is still periodic and manual—but AI agents act constantly. That's why detecting breaches takes 6-9 months. Here's how hybrid governance catches issues in real time, across any cloud.",
    "topics": [
      "YouTube Clip"
    ],
    "source_links": [
      {
        "label": "Why Manual AI Governance is Breaking for the Enterprise",
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    "handle": null,
    "name": "Alec Furrier",
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