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 "name": "Streaming Autonomous Policy Enforcement Ai Agent Based Access Control Systems For  43E1Af9679",
 "text": "Autonomous Policy Enforcement: AI Agent-Based Access Control Systems for Dynamic Resource Management presents the following source proposition: Traditional access control mechanisms often fail to adequately address the dynamic and complex nature of modern enterprise data environments, leading to significant governance gaps that compromise data quality, security, and compliance across distributed organizational infrastructures. This proposition is pertinent to Kaal's source-bound claim that Expanding regulatory oversight across sectors produces regulatory accretion, the cumulative growth of rules, which yields a complex and sometimes contradictory legal environment and burdens the very agencies charged with enforcement and oversight. The proposed response is a qualification: 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: 0.3647.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "name": "Autonomous Policy Enforcement: AI Agent-Based Access Control Systems for Dynamic Resource Management",
  "url": "https://doi.org/10.5772/intechopen.1013584"
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  "citation": "Wulf A. Kaal, The Future of Law - Dynamic Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4957318",
  "paper": "Wulf A. Kaal, The Future of Law - Dynamic Web3 Governance",
  "authors": [
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  "year": "2024",
  "ssrn": "https://ssrn.com/abstract=4957318",
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 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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