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 "name": "Streaming Secure Framework For Privacy And Risk Mitigation In Iot Enabled Health I Ffe3F05A29",
 "text": "Secure Framework for Privacy and Risk Mitigation in IoT-Enabled Health Insurance presents the following source proposition: However, this evolution has simultaneously amplified vulnerabilities to data breaches, regulatory non-compliance, and unauthorized access—posing significant threats to patient privacy and institutional credibility. This proposition is pertinent to Kaal's source-bound claim that Integrating AI with blockchain does not by itself eliminate security exposure: cyberattacks and privacy breaches remain possible absent rigorous monitoring. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
 "author": {
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  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.3593.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "name": "Secure Framework for Privacy and Risk Mitigation in IoT-Enabled Health Insurance",
  "url": "https://www.semanticscholar.org/paper/6cf01b5dca1ef550621ab2547d13c40a997c391f"
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  "citation": "Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185",
  "paper": "Wulf A. Kaal, How can we Best Monitor AI Agents",
  "authors": [
   "Wulf A. Kaal"
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   "url": "https://www.semanticscholar.org/paper/6cf01b5dca1ef550621ab2547d13c40a997c391f"
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