Cybersecurity professional and AI governance researcher advancing risk-based security frameworks, vulnerability management, and cybersecurity workforce development across government, education, and industry.

Grace A. Durotolu — Cybersecurity Professional | AI Governance Researcher | STEM Workforce Development Leader
My work focuses on advancing AI-driven cybersecurity governance, strengthening critical infrastructure resilience, and expanding the U.S. cybersecurity workforce through research, education, and public service. I hold an M.S. in Computer Science (cybersecurity concentration) from Troy University and a B.S. from Redeemer's University, and I am CompTIA Security+ certified.
My background spans hands-on vulnerability management and SIEM operations within Maryland state government, applied AI/ML research on threat detection for critical infrastructure, and technology education — from K-12 cybersecurity curriculum to adult workforce-development instruction.
Conventional, signature-based defenses are increasingly outmatched by advanced persistent threats and zero-day exploits. My work develops adaptive, AI-enabled governance frameworks — and builds the workforce pipeline to sustain them — across three connected pillars.
Risk-based, adaptive frameworks that organizations of any size — from federal agencies to SMEs — can adopt, aligned with NIST RMF.
AI/ML-enabled defense of smart-grid and industrial control systems against an expanding digital attack surface.
Building the domestic technology and cybersecurity talent pipeline — from K-12 curriculum to adult workforce instruction.
Delivers hands-on technology instruction within a nationally recognized workforce-development initiative serving adults facing barriers to employment.
Designed and delivered cybersecurity and computer science curricula for middle and high school students; secured a $15,000 FY27 Maryland Robotics Education Grant from MSDE.
Supported the security posture of state education technology systems through vulnerability management, remediation tracking, and SIEM operations.
Peer-reviewed research on AI/ML threat detection, critical infrastructure security, and national cybersecurity policy.
International Journal of Research Publication and Reviews · with E.C. Eze, F.D. John, S.O. Raji
Comparative evaluation of machine learning approaches to cyber threat detection.
International Journal of Research Publication and Reviews · with F.D. John
Examines how AI reshapes national digital-defense and resilience planning.
add journal/venue · with F.D. John, S.O. Raji
Examines AI/ML approaches to securing electrical infrastructure against cyberattack.
Title, abstract, and venue to be added once the source PDF is confirmed.
Featured (Sept. 2025) for advocacy on AI-driven, risk-based national cybersecurity policy.
Accepted a formal offer for IT Systems Technical Specialist from a Maryland state public-safety agency; the offer was later revised due to immigration status before a start date began.
Served as a judge, evaluating technical projects and mentoring participants.
Recipient of a mentorship award recognizing contributions to developing emerging talent.
Prepared and submitted a competitive state education grant application to MSDE.
Ongoing engagement with national K-12 cybersecurity information-sharing communities.
“Scientist Wants AI-Driven National Cybersecurity Policy”
Featured for advocacy on adaptive, risk-based national cybersecurity strategy over conventional signature-based defenses.
Open to research collaboration, speaking engagements, and press inquiries.