Cognitive Integrity Framework: Formal Foundations for Multiagent Security (Part 1: Theory)

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Citation KeyFriedman2026CognitiveIntegrityFrameworkFormal005

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Overview

Extracted from the local paper documentation when available.

This paper presents the Cognitive Integrity Framework, which provides formal foundations for enhancing security in multiagent systems by addressing cognitive attack surfaces. It aims to establish a theoretical basis for understanding and mitigating vulnerabilities in cognitive operators and cyberphysical systems.

cognitive integritymultiagent securitycognitive securityActive Inferencecategory theoryformal foundationsthreat modeling

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

Introduction of the Cognitive Integrity Framework for multiagent security.
Identification and analysis of cognitive attack surfaces in multiagent operators.
Development of a trust calculus and detection bounds for cognitive systems.
Proposing novel defense mechanisms tailored for cognitive security.

Methods / Techniques

Formal modeling of cognitive states and integrity properties.
Trust computation and algebra to assess security postures.
Anomaly detection techniques including cognitive drift scoring and behavioral deviation.
Architectural and runtime defense strategies designed for cognitive systems.

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2026. Cognitive Integrity Framework: Formal Foundations for Multiagent Security (Part 1: Theory). Zenodo.

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