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Preprint . 2026
License: CC BY NC SA
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY NC SA
Data sources: Datacite
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CCS: A Formal Framework for Runtime Verification of Agentic AI Systems

descriptionPublicationkeyboard_double_arrow_right Preprint 09 Jul 2026Publisher:Zenodo
Authors: Correctover Research Group;

doi: 10.5281/zenodo.21271910 , 10.5281/zenodo.21234579

CCS: A Formal Framework for Runtime Verification of Agentic AI Systems

Abstract

Updated version with expanded methodology, empirical validation across 50,000 production traces, and integration evidence from major agent frameworks (AutoGen, CrewAI, LangGraph). Includes formal proof of Required(τ) ⊆ Supported(τ) conformance criterion and performance benchmarks showing 1.47μs verification overhead. Keywords: MCP, LLM Agent, Conformance Validation, Protocol Verification, Formal Verification, Agent Runtime Governance Repository: github.com/Correctover Website: correctover.com

Keywords

Agent Runtime Verification, LLM Agent Governance, MCP, AI Safety, Formal Verification, Conformance Checking

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
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