Cyber & AI Policy Basics: What Every Organization Needs in Place - Pamela "Pam" Feld & Greg Goldberg - DCTLV2026 **1-day Course - Friday**

Name of Training: Cyber & AI Policy Basics: What Every Organization Needs in Place
Trainer(s): Pamela "Pam" Feld & Greg Goldberg
Dates: August 7, 2026 **Note: 1-day Course**
Time: 8:00 am to 5:00 pm 
Venue: Las Vegas Convention Center
Cost: $3,500 (USD)

**Please note: This one-day training will be held Friday, August 7. Participants will receive a DEF CON Human Badge with their registration**

Short Summary:

As organizations rapidly adopt AI while facing escalating cyber threats, leaders are increasingly exposed to operational, legal, and reputational risk. This class is designed for executives, IT leaders, and decision-makers who need practical guidance—not theory—on how to govern AI and cybersecurity responsibly.

Participants will explore real-world Cyber incidents, AI Ethics and failures, and governance breakdowns, gaining clarity on executive accountability, regulatory expectations, and insurance realities. The session goes beyond awareness, equipping attendees with actionable frameworks, policy guidance, and incident response strategies they can immediately apply within their organizations.

This interactive workshop includes live exercises, scenario-based discussions, ensuring attendees leave with defensible governance practices and a clear roadmap for reducing risk while enabling innovation.

Led by a Certified IEEE Artificial Intelligence Ethics expert/Cybersecurity Consultant, and a Business Technology Attorney, this course blends AI ethics, cybersecurity, and legal insight into practical guidance that can save your organization thousands of dollars—and prevent costly mistakes—with just one smart, implementable tip.

Course Description:

This course offers a practical, business-focused introduction to Artificial Intelligence and Cybersecurity, emphasizing risk awareness, secure adoption, and responsible use of emerging technologies. Designed for industry professionals, students, and career changers at beginner to intermediate levels, participants will learn how AI systems operate, their limitations, and how improper use can expose organizations to cybersecurity, ethical, and financial risk. A technology attorney provides real-world insight into navigating legal and compliance challenges, helping organizations avoid costly mistakes in a rapidly evolving regulatory landscape.

Through real-world examples, learners will see how AI interacts with data and decision-making, and how problems like data leaks, poorly connected systems, or relying too much on automated tools can create risks for organizations. The course covers ways to spot potential risks in AI, and practical tips to protect systems. By the end, participants will have foundational frameworks and confidence to work safely with AI, ask the right questions, and help their organizations adopt technology responsibly with their policies and procedures.

Course Outline:

Introduction and Course Overview

• Overview of the training goals, Agenda, and expectations
• Introduction to key concepts across management, security, and AI Ethics & governance
• Icebreaker: Participants share experiences with AI or security concern

Leadership and Decision Making in Technology Environments

• Role of leadership in managing technology driven change
  
• Understanding accountability, risk ownership, and ethical responsibility
  
• How leaders make informed decisions when adopting AI and digital systems.
  
• Interactive polling
  

Policy and Governance Fundamentals

• Introduction to policy development and governance structures.
  
• Difference between internal policies, external regulations, and industry standards
  
• Overview of governance frameworks used to manage technology and security risks. Overview of Insurance
  

Risk Management and Organizational Oversight

• Identifying operational, legal, and reputational risks
  
• Roles of management, boards, and compliance teams
  
• Practical examples of governance failures and best practices
  

Case Discussion and Knowledge Check

• Guided discussion using real world management and governance scenarios
  
• Short group exercises to reinforce key concepts

Introduction to AI Policy and Ethics

• What AI systems are and how they are used in organizations
• Ethical principles such as fairness, transparency, accountability, and human oversight
• Why AI policy matters in real world decision making
• Group discussion breakout

Managing Ethical and Security Risks in AI Systems

• Common risks including bias, misuse, automation errors, and overreliance on AI
• Intersection of security, ethics, and governance
• How policies help reduce these risks
• Live exercise. Sample templates for policies

Practical Use Cases and Responsible AI Adoption

• Real world examples of AI in business, public sector, and services
• Evaluating AI tools before use
• Questions leaders and managers should ask vendors and internal teams

Course Wrap Up, Resources, Templates, and Next Steps

• Key takeaways and summary
• Open discussion and Q and A
• Overview of optional proficiency exam and further learning resources
• Optional exam

Difficulty Level:

Beginner to Intermediate

Beginner Definition - The student has an interest in the topic presented and general technology knowledge that a power user or undergraduate student may have acquired.

Intermediate Definition - The student has education and some experience in the field and familiarity with the topic being presented. The student has foundational knowledge that the course will leverage to provide practical skills on the topic.

Suggested Prerequisites:

There are no formal prerequisites for this course. The training is designed to be accessible to participants with little to no technical background.

What Students Should Bring:

Students should bring a laptop with reliable internet access and the ability to access websites, online platforms, and scan or upload documents as needed. This will ensure full participation in hands-on exercises, assessments, and any required digital activities during the training.

What the Trainer Will Provide:

We will provide additional materials, resources and policy templates of a 30-day action plan

Participants who complete the course may be eligible for an optional, discounted post- program Cyber/AI policy review conducted by our consulting team, with legal review available were permitted by conference guidelines and applicable ethics rules.

Trainer(s) Bio:

Pamela Feld is the Founder & CEO of Triumph Technology Group and an award-winning national speaker on Cybersecurity, AI governance, and Digital Transformation. With decades of experience across corporate, public sector, and regulated industries, Pamela advises executives and organizations on reducing cyber risk, implementing ethical AI, and building resilient governance frameworks.

Pamela has worked with utilities, healthcare organizations, universities, and Fortune-level enterprises, and is a recognized leader in executive education. Her work bridges technical risk, legal exposure, and executive decision-making—transforming complex issues into practical, accessible, and actionable strategies for leadership teams. In addition to recently being awarded as an IEEE Certified Assessor, she is a graduate of UC Irvine,Stanford Graduate Entrepreneur Program, and the UCLA MDE program. Her company Triumph Technology Group, a Cyber and AI consulting firm, recently partnered with Intel on their AI Accelerator program.

Greg Goldberg is a savvy litigator with twenty years of experience battling in state and federal courts across the United States. Greg is also General Counsel for the Business Technology Association, a 100-year-old not-for-profit organization whose members include office equipment dealers and managed information technology providers all over the country. Through his work, Greg has developed subject matter expertise in cyber security, privacy, and artificial intelligence.

Serving as ex officio General Counsel to member organizations in the office technology and managed IT services sectors, Greg advises businesses on a wide range of employment, privacy, and litigation matters. His experience includes counseling on employee restrictive covenants, separations and terminations, workforce restructurings, and the development of workplace policies such as AI governance, surveillance, personal device use, and vehicle policies. He regularly guides organizations on data security, privacy compliance, crisis management, and website best practices. In addition to managing a robust commercial litigation docket—from pre-litigation strategy through trial, enforcement, and appeals—he is a frequent presenter and educator, delivering webinars and live programs and contributing monthly columns on emerging legal and regulatory trends impacting technology-driven businesses.

Proficiency Exam Option:

The exam will include multiple choice questions to assess participants' understanding of core AI policy frameworks, ethical principles, and real-world application considerations. Participants must achieve a minimum passing score of at least 70 percent to successfully complete the exam and earn a proficiency credential.

Please reach out to training@defcon.org for any questions related to the proficiency exam and certificate option.

Registration Terms and Conditions: 

Trainings are refundable before July 11, 2026, minus a non-refundable processing fee of $250.

Between July 11, 2026 and August 5, 2026 partial refunds will be granted, equal to 50% of the course fee minus a processing fee of $250.

All trainings are non-refundable after August 5, 2026.

Training tickets may be transferred to another student. Please email us at training@defcon.org for specifics.

If a training does not reach the minimum registration requirement, it may be cancelled. In the event the training you choose is cancelled, you will be provided the option of receiving a full refund or transferring to another training (subject to availability).

Failure to attend the training without prior written notification will be considered a no-show. No refund will be given.

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By purchasing this ticket you agree to abide by the DEF CON Training Code of Conduct and the registration terms and conditions listed above.

Several breaks will be included throughout the day. Please note that food is not included.

All courses come with a certificate of completion, contingent upon attendance at all course sessions. Some courses offer an option to upgrade to a certificate of proficiency, which requires an additional purchase and sufficient performance on an end-of-course evaluation.