Identity Theft Protection Committee (ITPC)

 NameTitle Department 
Dan Blumberg
AFH Human Resources Admin
Norma Epley DirectorResearch Integrity and Compliance 
Michelle C. Evans Interim Chief Institutional Integrity Officer Office of Institutional Integrity
Amanda Fleming
Associate Director University Registrar
Mike Hanley
Associate Athletics Director
ATH Athletic Training
Kristen Kennedy
Associate University Attorney
CHH University Attorney
Robin Mayo Business Systems Analyst AFH Compliance Management 
Jack McCoy Chief Information Security Officer Information Technology and Computing Services
Hector Molina IT Project Program Manager Information Technology and Computing Services 
Kay Murphy
Senior Director, Advancement Service
UAH University Development Admin
Kevin Newman
Auditor CHH Internal Auditor
Charlotte Price
Info Technology Manager
HSH BSOM ECUP Tech Support Services
Brad Simons
Business Tech Application Specialist SAH Technology
Timothy Smith
HIPAA Security Specialist
Office of Institutional Integrity
Mary Thompson DirectorHealth Info Systems & Services, HS ECUP Medical Director Admin
Michael Wharton
IT Security Specialist, Information Security
Information Technology and Computing Services 
Tim Wiseman Assistant Vice Chancellor Enterprise Risk Management
Paul Zigas Senior Associate University Attorney
CHH University Attorney

Committee Responsibilities

  • To establish polices, regulations, standards and procedures to enable the university to comply with the requirements of the NC Identity Theft Protection Act
  • To review current campus collection and uses of social security numbers and personal identifying information
  • To approve or disapprove such collection and use (or future proposed collection and use)
  • To review security measures associated with hard copy forms and electronic files that contain social security numbers and personal identifying information
  • To document the university’s processes for these issues
  • To recommend any institutional changes required to continue compliance or best practices