Upcoming Chapter Events
Below are upcoming chapter conferences, seminars, review courses, and other events. Prior chapter events can also be viewed.
For information on our event policies, see https://isaca-gwdc.org/event-policies/.
Generative AI for Privacy Professionals Workshop
January 24, 2026
Virtual Event (Teams)
Earn up to 7 CPE
$125 for GWDC Members
$200 for Non-Members
Generative AI for Privacy Professionals Workshop
This intensive one-day virtual workshop, Generative AI for Privacy Professionals, will provide participants with a comprehensive understanding of how generative AI impacts privacy and data protection practices. The workshop will cover the use of AI tools within the context of global privacy regulations, privacy-by-design principles, and risk mitigation strategies, with practical exercises to ensure participants can effectively operationalize privacy in AI-driven environments.
Registration closes on January 22 @ 5PM.
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Event Details
Date and Time
The workshop will be held on January 24, 2026 (Saturday) from 9:00 am to 5:00 pm.
Add this event to your calendar using the Add to Calendar link at the bottom of the page.
Virtual Event
The workshop will be held using Microsoft Teams.
Prior to the event, the instructor will email all participants the Teams link for the course along with course materials
Pricing
The fee for GWDC Members is $125 for the workshop.
The fee for all other registrants is $200 for the workshop.
To become a member and take advantage of the member rate for our events, among other benefits, join ISACA and select the Greater Washington D.C. Chapter as your local chapter.
Event Policies
Cancellation and refund for advance registrations is allowed if cancellations are submitted through the registration system by the date registration closes. Refunds vary depending on the date of cancellation and cost of the event. See ISACA GWDC Event Policies for details.
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All complaints should be submitted through the Registration Contact Form.
ISACA AI Certifications
ISACA has launced new certifications in the AI space: Advanced in AI Audit™ (AAIA™) and Advanced in AI Security Management™ (AAISM™). Click on the links below to learn more about these certifications and how they can further your career in AI. If you are interested in taking one of these certification exams, check our events calendar for upcoming review courses.
Course Outline
Module 1: Generative AI and Privacy Fundamentals
- Introduction to Generative AI and large language models (LLMs)
- Overview of privacy risks unique to AI (data leakage, re-identification)
- Understanding personal data exposure in AI training and outputs
Module 2: Global Privacy and AI Regulatory Landscape
- Key privacy laws impacting AI (GDPR, CCPA/CPRA, HIPAA, PIPEDA)
- EU AI Act and its privacy implications
- Emerging AI guidance from the FTC, EDPB, and NIST
Module 3: Privacy Risks in Generative AI Systems
- Data collection, storage, and processing risks in AI pipelines
- Prompt injection, model inversion, and data exfiltration threats
- Case studies of privacy incidents caused by AI tools
Module 4: Privacy-by-Design for AI
- Embedding privacy principles into AI system development
- Data minimization, anonymization, and pseudonymization strategies
- Leveraging privacy-enhancing technologies (PETs) for AI systems
Module 5: Conducting AI Privacy Impact Assessments (PIAs)
- Methodology for AI-specific PIAs and risk assessments
- Identifying high-risk data flows in generative AI use cases
- Documenting mitigations for compliance and audit purposes
Module 6: Managing AI Vendors and Third-Party Risks
- Due diligence for AI vendors and cloud-based generative AI services
- Contractual clauses for privacy compliance (DPA, SCCs, AI-specific terms)
- Continuous monitoring of data handling and model behaviors
Module 7: Operationalizing Privacy in AI Deployments
- Implementing privacy policies and controls for AI usage
- Employee training on privacy-conscious AI usage
- Responding to DSARs, deletion requests, and breaches in AI contexts
Module 8: The Future of Privacy in the AI Era
- Trends in synthetic data and privacy-preserving AI
- Preparing for next-generation AI regulations and enforcement
- Building a sustainable privacy strategy in an AI-driven enterprise
Instructor
Jim Wiggins
AAISM, AAIA, AIGP, CISM, CISA, CRISC, CISSP, ISSEP, CGRC (CAP), SCNA, SCNP, IAM, IEM, SSCP, CEH, ECSA, CHFI, LPT, TICSA, CIWSA, Security+, FITSP-M, CGEIT, MCITP, MCSE: Security, MCSE: Messaging, MCSA, MCDST, Server+, Network+, A+, CDPSE, CIPP/US, PMP, ICE-CCP, DACUM Facilitator
Jim Wiggins is a seasoned IT and cybersecurity expert with over 29 years of industry experience, 24 of which have been dedicated to information security – and, more recently, the last 3 years on artificial intelligence. He is the Founder and CEO of Securible, LLC, a Washington, DC-based cybersecurity training and consulting firm specializing in practical, forward-thinking solutions. Through Securible, Jim has championed innovative approaches to address emerging threats, ensure regulatory compliance, and harness the power of Artificial Intelligence in IT audit, cybersecurity, governance and privacy. Throughout his distinguished career, Jim has trained well over 20,000 IT and cyber professionals, underscoring his commitment to education and the advancement of the field.
In addition to his leadership at Securible, Jim also serves as the Founder and CEO of the Federal IT Security Institute (FITSI), a 501(c)(6) non-profit certification body accredited by the ANSI National Accreditation Board (ANAB) under ISO 17024:2012. FITSI provides role-based cybersecurity certifications designed to fortify the U.S. federal cybersecurity workforce.
Enhancing his contributions to the cybersecurity community, Jim hosts a TV show in the Washington, DC area called Cybersecurity Today. The program offers expert insights, in-depth analysis, and the latest updates on cybersecurity trends and threats, further establishing his role as a prominent thought leader in the industry.
Recognized as a Federal 100 award recipient in 2019 and the Federal Information Systems Security Educators’ Association (FISSEA) “Educator of the Year” in 2011, Jim is widely respected for his commitment to elevating cybersecurity education.
In the rapidly evolving arena of Artificial Intelligence (AI), Jim has directly trained well over 1,000 IT and cyber professionals on generative AI fundamentals through intensive sessions with the Department of the Interior’s University, the Defense Information Systems Agency (DISA), the National Risk Management Center (NRMC) within CISA, and the Greater Washington DC Chapter of ISACA. He leverages AI-driven tools such as ChatGPT, Gemini, Dalle, Midjourney, and Copilot to translate complex concepts into practical, governance-focused applications.
Jim holds numerous certifications, including:
- Artificial Intelligence: AAISM, AAIA, AIGP
- Cybersecurity: CISM, CISA, CRISC, CISSP, ISSEP, CGRC (CAP), SCNA, SCNP, IAM, IEM, SSCP, CEH, ECSA, CHFI, LPT, TICSA, CIWSA, Security+, and FITSP-M.
- Information Technology: CGEIT, MCITP, MCSE: Security, MCSE: Messaging, MCSA, MCDST, Server+, Network+, A+.
- Privacy: CDPSE, CIPP/US
- Project Management: PMP (Project Management Professional).
- Education: ICE-CCP (I.C.E. Certified Credentialing Professional), DACUM Facilitator
Jim is currently finalizing a master’s degree in education from George Washington University with a concentration in Assessment, Testing, and Measurement.
CPE Information
Earn up to 7 Continuing Professional Education (CPE) credit in the area of Information Technology. The ISACA® Greater Washington, D.C. Chapter is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.NASBARegistry.org
Poll Questions
Participants must respond to all the poll questions polling feature or chat log in order to receive NASBA CPE credits. The GWDC will not be responsible for the participant’s inability to respond to the polls.
CPE Distribution and Evaluation Survey
CPEs will be distributed via e-mail along with the event evaluation survey after the completion of the event. Attendees must be present for the full event to receive full CPE credit.
Learning Objectives
- Explain the fundamentals of generative AI and large language models (LLMs).
- Describe privacy risks unique to AI, including data leakage and re-identification.
- Summarize key privacy laws impacting AI, such as GDPR, CCPA/CPRA, HIPAA, and PIPEDA.
- Explain the privacy implications of the EU AI Act and emerging regulatory guidance.
- Identify privacy risks in AI pipelines related to data collection, storage, and processing.
- Evaluate threats such as prompt injection, model inversion, and data exfiltration.
- Apply privacy-by-design principles to AI system development.
- Implement strategies for data minimization, anonymization, and pseudonymization.
- Conduct AI-specific privacy impact assessments and risk evaluations.
- Document mitigations for compliance and audit readiness.
- Perform due diligence on AI vendors and cloud-based generative AI services.
- Draft contractual clauses to ensure AI vendor privacy compliance.
- Implement privacy policies and controls to govern AI usage.
- Train employees on privacy-conscious use of AI tools.
- Assess emerging trends such as synthetic data and privacy-preserving AI.
- Develop a sustainable enterprise privacy strategy for the AI era.
CPE-Related Details
- Prerequisites: None
- Advance Preparation: None
- Program Knowledge Level: Basic
- Delivery Method: Group Internet Based
- Field of Study: Information Technology – Technical