Maureen Doyle-Spare

𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿 𝗶𝗻 𝗔𝗜 𝗴𝗼𝘃𝗲𝗿𝗻𝗮𝗻𝗰𝗲
The Agentic AI Governance Playbook at https://maureendoylespare.com

Pioneered research in Agentic AI governance runtime governance of the reasoning layer. Specializing in oversight and cybersecurity for autonomous and multi-agent systems. Originator of The Doyle-Spare Agentic AI Framework including the Agentic 3 C’s Framework: Context, Control and Coordination and a full enterprise AI controls reference taxonomy. Constructs such as Doyle-Spare Agentic Governance Model (AGM), AWD, AWS, SCP, SDI, SLIA, V-RSR, RSSR, Operational Interpretation Preventable Computation, Governed Semantic Reuse and Green Computation.

Her research develops a runtime governance architecture and a foundational risk and threat taxonomy for the reasoning layer, the pre-execution stage at which an agent’s Operational Interpretation is formed and evaluated. The named constructs include Agentic Workflow Drift and Subversion (AWD/AWS), the Semantic Layer Integrity Attack (SLIA) as a cyber threat class targeting the reasoning-layer attack surface, the Semantic Control Plane (SCP) as a runtime governance mechanism, and the Semantic Deviation Index (SDI) as a measurement standard for semantic divergence. Her central thesis is that agentic systems do not fail the way traditional models fail: an agent can execute flawless steps against a meaning no institution authorized.

Her work spans policy crosswalks against the NIST AI RMF, MITRE ATLAS, STRIDE, ISO/IEC 42001, and the EU AI Act.

Capstone reference architecture: https://doi.org/10.5281/zenodo.20749051
SSRN author page: https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=10836296
Substack Research Library: https://maureendoylespare.substack.com/p/research-library-agentic-ai-governance
Github: https://github.com/maureendoylespare/maureendoylespare

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