Customized, role-based AI training for government agencies and public-sector teams. We build every program on your own AI governance policy and deliver it in person or virtually, taught by practitioners who work in AI governance and security every day.
Federal agencies, defense organizations, state and local government, universities and regulated industry. The same practical approach, adapted to each room.
Logos identify organizations whose staff have attended True CyberChampion or Dr. Beza training sessions. They are trademarks of their respective owners, and their display does not imply endorsement.
True CyberChampion is a Washington, DC-area artificial intelligence and cybersecurity advisory, engineering, and training firm. We help government agencies, defense contractors, businesses, and regulated organizations adopt AI responsibly, build practical solutions, and develop the workforce skills needed to succeed.
We combine scientific research, hands-on engineering, cybersecurity and regulatory expertise, executive advisory, and adult education to help organizations move from policy and strategy to implementation and everyday practice.
We are scientists, engineers, researchers, and educators who understand that technology alone does not solve business problems. Organizations need sound governance, solutions that work, and people who know how to use them. Our approach is practical, customized, and focused on results.
Our leadership brings together advanced academic research, executive experience, AI engineering, cybersecurity expertise, and a commitment to developing real-world workforce capability.
CEO and President
Dr. Beza leads True CyberChampion's strategic and technical direction, bringing expertise in AI engineering, cybersecurity governance, executive advisory, and applied AI solutions. His work connects research and emerging technologies with practical business applications, helping organizations build AI capabilities and prepare their workforce for real-world adoption.
Chief Scientist
Dr. Kuk brings extensive experience in AI research, advanced modeling, enterprise technology transformation, and education. He contributes scientific and technical leadership to the development of AI solutions, research initiatives, and workforce programs, connecting advanced AI concepts with practical organizational needs.
Chief AI Advisor
Dr. Kramarczyk provides technical and strategic guidance in applied AI, cybersecurity analytics, and emerging technologies. He helps bridge scientific research, technology decisions, and organizational implementation.
VP, Business Development and Communication
Rick brings more than 20 years of technology management experience. A decorated Navy veteran, he has held senior and technical positions supporting NORAD, the Army and the Pentagon. He takes True CyberChampion's services to clients, makes sure each client's challenge is clearly defined before work begins, and holds the team accountable for delivering what was promised.
We help organizations establish the rules for AI, build solutions that solve problems, and equip their people with the skills to use AI effectively.
Establish clear policies. Manage risks. Adopt AI with confidence.
We help organizations develop AI strategies, governance frameworks, responsible-use policies, risk management practices, and oversight mechanisms that support innovation while protecting organizational interests.
Turn business challenges into working AI solutions.
Our scientists and engineers design, develop, integrate, and evaluate AI systems for practical organizational applications. We focus on technology that solves defined problems, supports existing workflows, and delivers measurable value.
Build the AI skills your workforce needs to perform.
We design and deliver practical AI training for executives, professionals, technical teams, and entire organizations. Our programs are tailored to organizational policies, approved technologies, job responsibilities, and real workplace challenges.
Our scientists and engineers design, build, test and field AI systems that solve defined problems. We pair every build with independent evaluation, so you can show what works, how well, and why it is safe to deploy.
From feasibility studies and rapid prototypes to production systems in cloud, hybrid or restricted environments, we bring research rigor and security discipline to every stage.
Research and development: NAICS 541715Production LLM applications grounded in your authoritative data, with natural-language interfaces and governed agentic workflows.
From feasibility to production: rapid prototypes and R&D roadmaps for problems with no off-the-shelf answer.
Independent evidence for deployment decisions: benchmarks, evaluation gates, and adversarial, robustness and bias testing.
Turn large document collections into structured, searchable knowledge and faster, more consistent reviews.
Models that detect attacks and deception: anomaly detection, deepfakes across voice, image and video, and impersonation fraud.
Security-by-design systems with the evidence assessors expect, delivered in cloud, hybrid or restricted environments.
Our founders developed original AI models in their academic research, each aimed at a real security or trust problem. That research depth shapes how we design and evaluate every system we build.
Research to protect the systems that keep the power on, by spotting attack activity inside grid operations.
Research to identify false and manipulated content as it spreads, so people and organizations can trust what they act on.
Research using liquid neural networks to recognize attacks on connected medical devices, where safety depends on fast, reliable detection.
Have a problem with no off-the-shelf answer? Tell us what you need to detect, decide or automate, and we will scope a prototype.
Scope an AI prototypeCustomized training
We do not start with a generic course catalog. Every program follows our methodology: six stages and four integrated frameworks that turn your AI policy into everyday practice, role by role, and prove the change. Explore our full methodology.
Seven failure modes
We see seven recurring failure modes. Each one has a known cause in the research, and each one maps to a specific design choice in our system. Select any row to fix it.
| Failure mode | What it looks like | Why it fails | What we do instead |
|---|---|---|---|
| 1Generic content | One deck for everyone, with examples about marketing emails and meal plans | Skills transfer when practice resembles the job. Generic examples resemble nobody’s job. | Work-TwinTM scenarios built from each role’s real tasks |
| 2Passive format | Lecture, video and demo. People watch an expert type prompts. | Watching builds familiarity, not skill. Doing beats listening. | DRILLTM: people produce first, then critique and improve |
| 3Rules without practice | A slide of do’s and don’ts from the AI policy | People can recite a rule and still misapply it in a gray-zone case | Policy-to-Practice drills: sort real cases into Go, Sanitize or Stop |
| 4No verification skill | “Always check the output,” with no method for checking | AI quality is uneven, and people over-trust it on tasks outside its competence | Trap tasks with planted errors; we measure the catch rate |
| 5Tool tour, not judgment | Feature walkthroughs of one product | Features change monthly. Judgment about when and how to use AI is what lasts. | Tool-agnostic technique plus your approved tools |
| 6One and done | A single session, then nothing | Unpracticed skills fade within weeks | 30/60/90-day micro-drills and launch check-ins |
| 7Measured by satisfaction | Completion rates and smile sheets | How much people liked a session says little about what they can now do | Proof FrameworkTM: before-and-after work samples, catch rates, launch ledger |
All seven fixed. That is the Capability Proof System: every failure of awareness training answered by a design choice.
Our answer
From awareness to evidence. Every engagement moves through six stages in sequence, each ending with a quality check, while four integrated framework components run in parallel underneath. Select a stage to see how it works and which frameworks are at work.
Every stage ends in a quality gate that must pass before the next begins, and success is defined up front in a signed Outcome Contract.
| Framework | The question it answers | What it produces |
|---|---|---|
| Role SignatureTM | Who needs what, and where can AI safely help in this role? | Role profile, task inventory, Delegation GridTM, Work-TwinTM scenarios |
| BELGICTM | Which AI capabilities matter most for this role? | Weighted capability emphasis per role group; learning objectives |
| DRILLTM | How does a capability become a habit inside a session? | Time-boxed practice cycles; principles written by learners; launched work |
| Proof FrameworkTM | Did it work, for whom, and how do we know? | Before-and-after work samples, trap catch rate, Launch Ledger, Evidence Report |
These four components work together as one integrated training framework. ↺ Continuous improvement: evidence from each training cohort informs the next, allowing us to continuously refine the curriculum, improve delivery and strengthen learning outcomes.
Why our methodology is unique
Most AI training on the market falls into three categories. Each has a place. None is built to produce and prove role-specific capability.
| Dimension | Awareness training | Tool training | Technical bootcamps | True CyberChampion’s Capability Proof SystemTM |
|---|---|---|---|---|
| Built from | Generic examples | Product features | Technical curriculum | Your roles, tasks and policy |
| Learner activity | Watch and listen | Follow along | Code | Produce, critique, improve, launch |
| Customization | Logo and examples | None | By skill level | Role profile, Delegation GridTM, Work-TwinsTM |
| Risk and policy | A slide of rules | Product settings | Varies | Practiced decisions with trap tasks |
| Audience | Everyone, the same way | Tool users | Developers | Every role, differently |
| Proof of impact | Completion, satisfaction | Completion | Projects | Before-and-after work samples, catch rate, launches |
| After the session | Nothing | Help articles | Alumni network | 30/60/90 reinforcement and a 90-day review |
AI strategy, governance, accountability, enterprise risk, investment decisions, and strategic adoption.
AI literacy, effective prompting, responsible use, data protection, output verification, and human accountability.
Role-based training
Financial analysis, investment research, reporting, forecasting, and verification.
VP, AI Strategy and Workforce Development
Dr. Beza holds a Doctor of Engineering in Cyber Analytics and Artificial Intelligence from The George Washington University and brings 20 years of technology experience across the federal government, big tech and consulting. Today he helps federal agencies adopt AI safely: developing AI enablement strategies, building role-based training, and designing AI solutions for real operational challenges. He also advises businesses that want to deploy AI safely and responsibly.
His strength is working both sides of the table. He explains complex technical concepts in plain terms to leaders and managers, and translates strategic priorities and business concerns into clear direction for technical teams.
Our goal is not simply to teach employees about AI. It is to help them use AI effectively, securely, and confidently within the boundaries established by their organization.
We focus on practical learning, relevant workplace scenarios, and skills that employees can apply immediately.
Whether you need AI governance training, a role-based professional program, or an organization-wide AI proficiency initiative, we can design a program around your policies, people, and priorities.
Discuss customized training
Practical training that turns your AI policy into everyday decisions, delivered in person or virtually. Everyone gets the same foundation, then practices realistic scenarios from their own work in a small, role-based lab.
We map your AI policy to practice, profile each role and its real tasks, and agree measurable outcomes in a one-page Outcome Contract.
We build Work-Twin scenarios, trap tasks, Delegation Cards and job aids. Your IT, HR and Legal leads approve every scenario before delivery.
A shared foundation session and role-based DRILL labs, in person, virtually or hybrid. People finish real work with AI under your rules.
Before-and-after work samples, trap catch rates and an Evidence Report for leadership, then 30/60/90-day reinforcement.
Custom training usually takes months. We are known for high-quality training solutions developed rapidly. Like a pit crew, our team works in parallel, so your program is ready when you need it, without cutting corners.
Practical talks that build AI literacy, governance capability and strategic execution. Each can run on its own or be tailored to your organization, in person, virtually or hybrid.
Learn how to develop a comprehensive AI strategy that aligns with business objectives, identifies high-value use cases, and creates a practical implementation roadmap with clear milestones and success metrics.
Establish robust AI governance structures that ensure responsible AI deployment, manage risk, maintain compliance, and build stakeholder trust across your organization.
Discover proven strategies for scaling generative AI across your enterprise while maintaining security, managing costs, ensuring quality, and maximizing business value.
Move from AI strategy to operational reality with a structured approach that addresses technology integration, workforce enablement, change management, and performance measurement.
Build AI literacy across your organization with practical training tailored to different business functions, enabling informed decision-making and effective AI collaboration.
Learn frameworks for evaluating, prioritizing, and assessing AI use cases based on value, feasibility, risk, and strategic alignment to optimize investment and outcomes.
Understand the legal implications, liability risks, and governance requirements associated with AI deployment to protect your organization and ensure compliance.
Design effective AI organizational structures, define roles and responsibilities, establish operating models, and build cross-functional collaboration for AI success.
Leverage generative AI to transform customer service operations while maintaining quality, managing risk, and delivering exceptional customer experiences.
Develop robust frameworks for measuring generative AI return on investment, calculating total cost of ownership, and demonstrating business value to stakeholders.
Need a course built around your organization's policy, tools and roles? Every program can be customized.
Ask about a talk
For organizations adopting AI. Every engagement is role-based, customized to your environment, and 100% practical: your people work on real tasks from their own jobs.
Put fairness, transparency, privacy and human accountability into how your organization uses and builds AI.
Turn your AI policy into everyday behavior, so AI adoption is fast, safe and consistent across the organization.
Each role gets training built for its own work, data and decisions, from the executive suite to the front line.
Evaluate organizational preparedness to adopt AI responsibly across governance, data, workforce, and risk management.
Align AI initiatives to recognized risk management principles, including the NIST AI RMF, for trustworthy AI.
Assess AI and automated decision systems for risk, fairness, transparency, and control effectiveness.
We combine deep technical expertise with executive-level strategic guidance to deliver practical, assessment-ready outcomes.
We turn complex cybersecurity, compliance, and AI governance requirements into clear, manageable actions your team can understand and execute with confidence.
We deliver every engagement through frameworks we built: the Belgic AI skills framework, the DRILL method for teaching AI skills to adults, and the iCRAFT Prompts online learning platform. We are scientists, and dedicated educators.
We bring current experience supporting federal government environments and understand the operational, compliance, and documentation expectations required.
Our deliverables are built around your organization, workflows, technology environment, and security posture so the end result is relevant, usable, and credible.
We provide responsive, hands-on support and work closely with your team throughout the engagement to ensure progress, alignment, and practical results.
We are scientists, researchers and educators who design and build solutions to real problems. Our team brings AI governance, risk, and compliance experience across a wide range of environments.
Short essays on AI strategy, security, governance and the future of work. Each one ends with a leadership takeaway you can act on this week.
Schedule a consultation to discuss your organization's challenges and how we can help you achieve compliance, manage risk, and scale AI with confidence.
Answers to common questions about our services, approach, and engagement process.
We serve a diverse range of clients including:
Our expertise spans both public and private sector environments with particular strength in federal compliance frameworks and emerging AI governance requirements.
Several key differentiators set us apart:
We have current, hands-on experience supporting federal government environments with deep expertise in:
We understand the operational, compliance, and documentation expectations required to serve regulated and mission-driven organizations effectively.
Yes, executive training is a core part of our service offerings. We provide comprehensive training programs including:
All training is practical, interactive, and designed for real-world application. Available in-person, virtual, or hybrid formats.
Our typical engagement process includes:
We work closely with your team throughout, ensuring alignment and practical results.
Our team brings deep expertise in both cybersecurity compliance and emerging AI governance frameworks including NIST AI RMF. We combine technical knowledge with strategic advisory capabilities to help organizations navigate the complex intersection of AI innovation, risk management, and regulatory compliance. Our approach is grounded in practical experience and evidence-based methodologies.
Engagement duration varies by scope:
We work with you to establish realistic timelines based on your needs and constraints.
We treat all client information with the highest level of confidentiality:
Your trust is fundamental to our work.
Tell us about your team, your AI policy and your timeline. We typically respond within one business day.
True Cyber