Associate Professor of Artificial Intelligence at the University of the Cumberlands and Lead Technical Program Manager for Public Sector Security at N-able. Previously led Responsible AI, privacy and federal readiness work across Microsoft Security Copilot and cloud and AI security.
Former Microsoft Security · Harvard Kennedy School MPA · U.S. Navy Veteran · Doctor of Engineering, George Washington University
Product and program leadership on Microsoft Security Copilot and the early agents built on it, covering Responsible AI review, privacy engineering and sovereign cloud readiness. No precedent existed for how trust should be built into a generative AI security product, so the team wrote one.
The practice →Public-sector security program execution at N-able, including FedRAMP Moderate and CMMC 2.0 Level 2, from control implementation through evidence collection and assessment readiness. Ownership means the audit finding lands on your desk, not someone else's.
Program work →Designed Ethics in Responsible AI for the University of the Cumberlands' first PhD in Artificial Intelligence cohort. Teaches and advises doctoral students working on AI governance, responsible AI and cybersecurity.
Teaching and research →
A look at how a verification system could be designed offers some insight into some of the technical challenges AI agents are poised to introduce
What happens if your bot buys something you didn’t tell it to?
What compliance with Colorado's automated decision-making law actually requires of the organizations inside its scope, and how little time remains to build it.
Internal teams can now build in days what they used to license. The renewal conversation has changed, and most vendors have not noticed.
CMMC compliance costs fall hardest on the smallest firms in the defense industrial base. The state has options, and a narrowing window to use them.
A profile on carrying Responsible AI work from Microsoft Security Copilot into doctoral teaching. Ethics as an engineering discipline rather than a reading list.
The hard part of AI governance is rarely the principle. It is the meeting where an engineer, a lawyer and a contracting officer discover they mean different things by the same word. I speak to technical, academic, policy and executive audiences about Responsible AI, CMMC, FedRAMP and what security assurance requires in operational environments.
Recent appearances include the Federal News Network Risk & Compliance Exchange in 2026, on closing the CMMC evidence gap.
Panels and keynotes, academic collaboration, media commentary on AI governance and public-sector security, or a straightforward professional conversation.