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/.
Future Tech DC 2026 Post-Event Training: NIST AI RMF Workshop
NIST AI RMF Workshop
April 17, 2025 from 8:30 AM to 4:00 PM
George Mason University, Arlington VA Campus
7 CPE
$150 for Future Tech Attendees (Early-Bird)
$175 for All Other Registrants (Early-Bird)
NIST AI Risk Management Framework (AI RMF) Workshop
A Future Tech DC 2026 Post-Event Workshop
Join your fellow Future Tech DC 2026 attendees for an immersive, full-day workshop designed to equip cybersecurity, privacy, risk, and technology professionals with a comprehensive understanding of the NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0) and its application across modern AI-enabled environments. This program provides a manager-focused exploration of how the AI RMF can be used to identify, assess, measure, and manage AI risks throughout the AI lifecycle, helping organizations implement responsible and trustworthy AI practices. Participants will gain practical insights into the Framework’s Core functions—Govern, Map, Measure, and Manage—and learn how to apply trustworthiness characteristics, risk mapping methods, and lifecycle-aligned controls. Real-world use cases, ecosystem-wide responsibilities, and AI-specific risk scenarios (such as bias, safety, security, transparency, and emergent behavior) are emphasized throughout. Led by Jim Wiggins, GWDC Media Director and Founder of the Federal IT Security Institute (FITSI), this workshop blends expert instruction, demonstrations, hands-on exercises, and collaborative discussions to help technical and non-technical leaders operationalize the AI RMF within their organizations.
Registration closes on April 16 @ 5pm. There is no walk-up registration for this event.
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Date and Time
The workshop will be held on April 17, 2026 from 8:30 am to 4:00 pm.
Add this event to your calendar using the Add to Calendar link at the bottom of the page.
Venue Location, Parking, and Metro
George Mason University (GMU) Arlington Campus (Mason Square)
3351 Fairfax Drive, Arlington, VA 22201
Parking: Visitor parking is available in the Van Metre Hall (formerly Founders) Garage, located directly beneath the school. To access the garage, use the entrance located off of Kirkwood Drive, in between Fairfax Drive and Washington Boulevard. Please view the Mason Square parking map for additional information.
Metro: The nearest Metro station is the Virginia Square-GMU station. It is a 5-minute walk from the metro station to the GMU Campus
Pricing
Early Bird Pricing (through 3/6/26)
$150 for Future Tech Attendees
$175 for all other registrants
Regular Pricing
$200 for Future Tech Attendees
$225 for all other registrants
Future Tech registrants will receive details in the registration confirmation email for Future Tech DC 2026 regarding the discount for this workshop.
What’s included in the pricing: Lunch will be provided
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.
Workshop Format
A blended learning experience combining:
- Interactive discussions and analysis of deployment contexts, risk scenarios, and trustworthiness challenges
- Group activities applying the Govern–Map–Measure–Manage functions
- Practical exercises building AI RMF Profiles and evaluating AI risk controls
Course Materials
Course Materials Include:
- Expert lectures
- Demonstrations and walkthroughs
- Hands-on lab activities
- Supplemental online resources and references
Learning Objectives
By completing this course, participants will be able to:
- Understand the foundational components, structure, and purpose of the NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0).
- Explain AI risk management concepts—including AI-specific risks, lifecycle considerations, and trustworthiness characteristics—and their importance in supporting organizational objectives.
- Identify and apply the AI RMF Core functions (Govern, Map, Measure, Manage) and their associated categories and subcategories.
- Develop and use AI RMF Current and Target Profiles to support alignment, comparative analysis, and self-assessment.
- Assess the trustworthiness of AI systems by applying measurement methods, TEVV practices, and appropriate risk metrics aligned to the Framework.
- Conduct AI risk mapping by evaluating context, potential impacts, assumptions, affected actors, and system categorizations throughout the AI lifecycle.
- Integrate AI governance structures, accountability mechanisms, and organizational policies to support responsible and transparent AI practices.
- Embed AI risk management activities into system design, development, deployment, and monitoring processes across the AI lifecycle.
- Understand and manage ecosystem-wide roles, responsibilities, and risks by engaging relevant AI actors—including developers, deployers, impacted communities, and third-party entities—throughout the AI system lifecycle.
Who Should Attend
This workshop is ideal for:
- Cybersecurity managers and technical team leads
- AI program managers and solution owners
- Data scientists and machine learning engineers
- Federal and defense IT security personnel
- Security auditors and assessors
- Governance, Risk, and Compliance (GRC) professionals
- Technology leaders preparing to implement or evaluate AI systems
- Privacy and ethics professionals responsible for evaluating AI impacts
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.
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
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.
Additional CPE Details
- Prerequisites: None
- Advance Preparation: None
- Program Knowledge Level: Basic
- Delivery Method: Live, In-Person
- Field of Study: Information Technology – Technical