Securing Agentic AI with F7-LAS

What’s New in F7-LAS v4.0 Aligns the conceptual architecture with the verified F7-LAS v4.0.0 repository release. Defines PDP and PEP boundaries, policy-bound approvals, and strict approval expiration. Introduces eight canonical records, deterministic action digests, evidence verification, and replay. Clarifies that the Layer 6 reference implementation is a synthetic in-process executor, not a production sandbox. Documents 51 controls: 46 core controls and five supplemental controls, with 6 implemented, 29 partial, and 16 not implemented. Updates the control-loop diagrams and related standards positioning.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-21
DOI
https://doi.org/10.5281/zenodo.22867553
Primary Topic
Multi-Agent Systems and Negotiation
Type
article
Field-Weighted Citation Impact
0.00
Controls
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Securing Agentic AI with F7-LAS

Anthony Fuller
Zenodo (CERN European Organization for Nuclear Research)
Multi-Agent Systems and Negotiation
article

Securing Agentic AI with F7-LAS

Anthony Fuller
article en

Abstract

What’s New in F7-LAS v4.0 Aligns the conceptual architecture with the verified F7-LAS v4.0.0 repository release. Defines PDP and PEP boundaries, policy-bound approvals, and strict approval expiration. Introduces eight canonical records, deterministic action digests, evidence verification, and replay. Clarifies that the Layer 6 reference implementation is a synthetic in-process executor, not a production sandbox. Documents 51 controls: 46 core controls and five supplemental controls, with 6 implemented, 29 partial, and 16 not implemented. Updates the control-loop diagrams and related standards positioning.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 8%
Multi-Agent Systems and Negotiation
DOIOpen Access PDFOpenAlex
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Securing Agentic AI with F7-LAS — Anthony Fuller · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS