About Mori Jammeh

Governance professional. Author. AI risk advisor.

Focused on helping organizations build the institutional structures that responsible AI deployment demands — before risk becomes liability.

Background

Mori Jammeh is a cybersecurity and governance professional focused on institutional risk architecture and AI control design. His work centers on aligning artificial intelligence with structured oversight and enterprise governance systems.

With a background spanning cybersecurity, GRC framework design, and organizational risk management, Mori brings a practitioner's perspective to one of the most pressing challenges facing organizations today — deploying AI responsibly without sacrificing speed or innovation.

He is completing a Master of Science in Cybersecurity with a concentration in Governance, Risk, and Compliance at DePaul University.

What drives this work

Artificial intelligence is not merely a technological shift. It is an institutional stress test. As AI adoption accelerates, governance frameworks lag behind — systems are deployed without sufficient oversight, introducing scalable risk across operations, decision-making, and accountability structures.

The issue is not capability. The issue is control. Mori's work exists to close that gap — building practical frameworks that organizations can implement now, not theoretical models that require years to operationalize.

Credentials

Education & expertise

MS in Cybersecurity — DePaul University

Concentration in Governance, Risk, and Compliance. Currently in progress.

AI Governance Framework Design

Specializes in building GRC frameworks specifically for AI systems in enterprise environments.

Published Author

Author of AI With Guardrails™ — A Practical GRC Framework for Responsible Artificial Intelligence.

Enterprise Advisory

Works with compliance officers, CISOs, and risk teams building AI accountability structures.

Philosophy

Governance before deployment. Control before automation.

Every AI system carries embedded decisions about accountability, transparency, and risk tolerance. Those decisions should be made deliberately — with governance structures in place before deployment, not retrofitted after incidents occur. That is the principle behind every engagement and every page of AI With Guardrails™.

Ready to build AI governance that actually works?

Book a 30-minute strategy session — no pitch, just a structured conversation about your AI risk environment.

Book a free strategy call