Research Note

AI Smart Home Permission Boundary Framework

Model household access across people, roles, devices, data, actions, locations, time windows, consequences, confirmation, logging, expiry, recovery, and manual control.

Aug 4, 20261 min readBy Dalton Anderson
In this article

AI Smart Home Permission Boundary Framework

Model household access across people, roles, devices, data, actions, locations, time windows, consequences, confirmation, logging, expiry, recovery, and manual control.

Read-only status checks should not inherit permission to unlock, heat, dispense, purchase, record, disable, or delete. High-consequence actions need stronger identity, narrow scope, explicit confirmation, visible feedback, and a tested reversal or safe fallback.

The framework extends NIST consumer-IoT outcomes with an assistant authorization layer. It does not certify a device, integration, household, or security posture.

Sources

Follow the evidence.

  1. Introducing Llama 3.1ai.meta.com
  2. tensorflow.org: recommendation systemstensorflow.org
  3. ai.meta.com: the llama 3 herd of modelsai.meta.com
  4. csrc.nist.gov: finalcsrc.nist.gov
  5. tensorflow.org: Retrievaltensorflow.org
  6. NIST AI Risk Management Frameworknist.gov
  7. github.com: MODEL CARDgithub.com
  8. open.spotify.com: 5xmE0hYheRvBOoqaQCyUokopen.spotify.com
  9. NIST AI Resource Centerairc.nist.gov
  10. Meta Llama models repositorygithub.com
  11. nist.gov: 7 tips keep your smart home safer and more private nist cybersecuritynist.gov
  12. youtu.be: J2I1fJW1sB4youtu.be
  13. etsi.org: 2457 etsi releases new guidelines to enhance cyber security for consumer iot devicesetsi.org
  14. github.com: USE POLICYgithub.com
  15. elastic.co: search rank evalelastic.co
  16. daltonanderson.ghost.io: metas ai power play llama 3 smart reel searchdaltonanderson.ghost.io
  17. tensorflow.org: basic retrievaltensorflow.org
  18. github.com: LICENSEgithub.com

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