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Maureen Doyle-Spare

Enterprise Governance Architect | Independent Researcher in AI Governance and Runtime Governance at Doyle-Spare Research

Foxboro, United States

Maureen Doyle-Spare is an enterprise governance architect and independent researcher in AI governance, specializing in agentic AI oversight and cybersecurity for autonomous and multi-agent systems. She is the originator of an agentic AI governance taxonomy built on a set of named constructs, developed for the layer above conventional AI controls, where autonomous agents interpret business meaning across fragmented enterprise systems and commit to it before acting.

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 behavioral visibility, pre-execution oversight, adversarial resilience, autonomous systems evaluation, and safe deployment, and policy crosswalks against the NIST AI RMF, MITRE ATLAS, STRIDE, ISO/IEC 42001, and the EU AI Act. She has provided public comments across multiple NIST AI initiatives, including the AI RMF, CAISI, COSAiS, NCCoE, and TEVV. Her working papers are available on SSRN and Zenodo.

Capstone reference architecture: https://doi.org/10.5281/zenodo.20749051
ORCID: https://orcid.org/0009-0009-6655-1394
SSRN Author Page: https://papers.ssrn.com/Sol3/Cf_Dev/AbsByAuth.cfm?per_id=10836296
ResearchGate: https://www.researchgate.net/profile/Maureen-Doyle-Spare/research
LinkedIn: https://www.linkedin.com/in/maureendoylespare/
GitHub: https://github.com/maureendoylespare/maureendoylespare
Substack: https://maureendoylespare.substack.com/

Available For: Advising, Authoring, Consulting, Influencing, Speaking
Travels From: Boston, MA
Speaking Topics: Agentic AI Governance, Governing the Reasoning Layer, Runtime Governance for Autonomous AI Systems, Agentic Workflow Drift and Subversion, Semantic La

Speaking Fee $7,500 (In-Person), $4,000 (Virtual)

Maureen Doyle-Spare Points
Academic 0
Author 11
Influencer 60
Speaker 0
Entrepreneur 0
Total 71

Points based upon Thinkers360 patent-pending algorithm.

Thought Leader Profile

Portfolio Mix

Company Information

Company Type: Individual
Minimum Project Size: N/A
Average Hourly Rate: N/A
Number of Employees: N/A
Company Founded Date: Undisclosed

Areas of Expertise

Agentic AI 30.37
AI 30.03
AI Ethics
AI Governance 30.55
AI Orchestration 30.31
AI Safety
Architecture
Business Strategy
Cybersecurity 30.14
Digital Disruption
Digital Transformation
Emerging Technology
Finance
FinTech
GRC
Innovation
InsurTech
IT Leadership
IT Strategy
RegTech
Risk Management 30.09
Security
Transformation

Industry Experience

Publications & Experience

11 Article/Blogs
Agentic Workflow Drift in Life Sciences: A Risk Taxonomy to GxP-Regulated Pharmaceutical and Biotechnology Operations
Linkedin
August 21, 2026
IN BRIEF
A checkpoint can clear and the batch can still be wrong.

That is the problem agentic AI brings into GxP-regulated pharmaceutical and biotechnology operations. An autonomous agent can begin from an authorized specification, consult prior dispositions, read a controlled procedure, satisfy every validation checkpoint, and leave a complete audit trail. Every artifact can look correct, and the workflow can still proceed under a meaning the organization never authorized.

See publication

Tags: Agentic AI, AI, Cybersecurity

Executive Brief: Agentic AI Semantic Deviation Index
Linkedin
August 14, 2026
A Pre-Execution Measurement Standard for Authorized Meaning in Agentic AI Systems

See publication

Tags: Agentic AI, Cybersecurity, Risk Management

Agentic AI Is Turning Cyberattacks Into Coordinated Workflows
Medium
August 13, 2026
The latest warning about agentic AI governance and cybersecurity did not come from another laboratory demonstration

See publication

Tags: Agentic AI, AI Governance, Cybersecurity

Executive Brief: Agentic AI Cyber Subversion
Linkedin
August 07, 2026
The Semantic Layer Integrity Attack as a New Threat Class Against the Reasoning Layer

See publication

Tags: Agentic AI, Cybersecurity, Risk Management

Executive Brief: Agentic AI Systems Governance
Linkedin
July 31, 2026
A Runtime Reference Architecture for the Reasoning Layer and the Semantic Control Plane in Regulated Financial Institutions

See publication

Tags: Agentic AI, AI Governance, Cybersecurity

Agentic AI Governance System Runtime Reference Architecture
Medium
July 05, 2026
Agentic AI is changing where operational authority is formed inside the firm. Autonomous systems no longer simply automate decisions; they resolve at runtime how a regulated term or policy applies to a specific action, before that action is taken.

See publication

Tags: Agentic AI, AI Governance, Cybersecurity

Agentic Workflow Drift: The Next Control Failure in Banking Will Not Break a Rule
Medium
June 08, 2026
Banking did not become disciplined about controls by accident. Financial loss, remediation programs, consent orders, and reputational damage forced execution architecture to mature over several decades. In 2023 and 2024 alone, U.S. authorities imposed roughly $7.5 billion in anti-money-laundering and sanctions-related penalties and asset seizures across financial institutions.

See publication

Tags: Agentic AI, AI, AI Governance

The Agentic AI Semantic Deviation Index (SDI) -Measuring What Current Control Frameworks Cannot See
Linkedin
April 21, 2026
The control fired. The workflow executed. The audit trail is clean. And the bank is still wrong.

Not because a system failed. Not because a rule was broken. Because the meaning of the rule shifted before the control was applied.

Every risk framework in financial services assumes that deviation produces a signal. A threshold trips. A control fails. Something surfaces that a risk officer or examiner can point to.

That assumption no longer holds in agentic systems.

This is not a monitoring gap. It is a measurement gap.

See publication

Tags: Agentic AI, AI Governance

Agentic Workflow Drift: A New Failure Mode in Banking Controls Testing
Linkedin
March 10, 2026
Let’s be honest.

Banking has spent decades engineering deterministic control systems. Agentic workflows are now reshaping how execution authority is determined.

The next major control failure in banking will not come from a broken rule. It will come from workflows moving from deterministic validation to inferred readiness.

See publication

Tags: Agentic AI, AI Governance, Risk Management

Agentic AI the SMB Banking Advantage - SaaS as an Accelerator to Semantic Architecture
Linkedin
February 10, 2026
The SMB Reality: Ambition Without the Luxury of Time & Money
Small and mid-size banks do not lack ambition. What they lack is the luxury of time, budget, and large architecture teams dedicated to multi-year transformation programs.

Unlike Tier-1 institutions, SMB banks cannot realistically pause execution to design a perfect enterprise ontology, build a comprehensive semantic layer, and deploy an enterprise-wide knowledge graph in one coordinated effort.

More importantly, they do not need to.

See publication

Tags: Agentic AI, AI Governance

Super Bowl Strategy for Agentic AI: Context, Control, and Coordination
Linkedin
February 03, 2026
It’s that time of year again where Super Bowl energy is hard to miss. It is a reminder of what sustained execution looks like when complexity and expectations are at their highest, which is exactly where banks now find themselves as they move toward agentic AI.

See publication

Tags: Agentic AI, AI Governance, AI Orchestration

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