AI-Enabled Cyber GRC Masterclass
Cyber GRC is the control center of ALL organizations. AI is the accelerator.
A 6-week live, instructor-led masterclass + hands-on bootcamp designed to give you real-world mastery of Governance, Risk & Compliance — powered by AI.
April 15 – End of May 2026
Tuesdays & Thursdays
Virtual (Live Sessions)
U.S.
1:00 PM CT
2:00 PM ET
UK
6:00 PM GMT
7:00 PM BST
Africa
7:00 PM WAT
8:00 PM CAT
9:00 PM EAT
6 Weeks
Live Instruction
Bonus
Courses Library Access
12
Live Sessions
1 Day
Hands-On Bootcamp
20+
CPE Credits
Program Structure
6 weeks of live, instructor-led sessions (Tuesdays & Thursdays, 2 hours each) with take-home assignments - covering real-world Cyber GRC, powered by AI. Plus a full-day hands-on bootcamp.
Phase 1: Foundations of Cyber GRC
Learning Outcomes:
- Articulate what Cyber GRC is and how governance, risk, and compliance interact as a system — not as three separate functions.
- Identify the organizational stakeholders in a GRC program and explain each party's role and accountability.
- Map Cyber GRC to real business value: regulatory obligation, cost reduction, trust-building, and operational resilience.
- Distinguish between a mature and immature GRC posture using observable indicators.
- Understand the core GRC frameworks at a headline level (NIST CSF, ISO 27001, SOC 2, COBIT) in preparation for deep dives in later sessions.
- Describe how AI is beginning to transform GRC practice — and why the foundations must come first.
Tools & Frameworks: ServiceNow GRC, FAIR Model, Vanta, Claude / GPT-4 | Framework / Std: NIST CSF 2.0 • ISO 27001
Learning Outcomes:
- Design a governance framework for a mid-sized organization, including the appropriate tier structure, roles, and decision rights.
- Distinguish between policies, standards, procedures, and guidelines — and know when each instrument is appropriate.
- Write a cybersecurity policy that is clear, enforceable, and aligned to business objectives.
- Understand the role of governance committees, security councils, and the CISO in organizational oversight.
- Apply the RACI model to assign accountability in a GRC program.
- Identify the failure modes of governance (policy theater, governance gaps, shadow IT) and design structures that prevent them.
Tools & Frameworks: ServiceNow GRC, Claude / GPT-4, MetricStream, LogicGate, Splunk ES
Learning Outcomes:
- Execute a full risk assessment from scoping through treatment decisions.
- Build and maintain a risk register with the correct fields, scoring logic, and treatment tracking.
- Explain the difference between qualitative and quantitative risk assessment and know when to use each.
- Apply the FAIR model to translate a cyber risk scenario into a financial impact range.
- Define and apply the concepts of risk appetite, risk tolerance, and residual risk.
- Communicate risk to non-technical stakeholders using financial and business language.
Tools & Frameworks: ServiceNow GRC, LogicGate, FAIR Model, RSA Archer, Power BI + AI
Learning Outcomes:
- Explain the purpose, structure, and key requirements of NIST CSF 2.0, ISO 27001:2022, SOC 2, PCI-DSS v4.0, and HIPAA Security Rule.
- Build a basic unified control library that maps a single control to multiple frameworks.
- Conduct a compliance gap analysis using a structured methodology.
- Understand the difference between a compliance framework and a legal regulation — and how they interact.
- Explain the different types of SOC 2 reports (Type I vs. Type II, and the five Trust Services Criteria) and when each is appropriate.
- Design a compliance mapping approach that prioritizes business risk rather than checkbox completion.
Tools & Frameworks: Vanta, AuditBoard, OneTrust, LogicGate | Framework / Std: NIST CSF 2.0 • ISO 27001
Learning Outcomes:
- Explain the phases of an audit lifecycle and the GRC team's role in each phase.
- Design an evidence collection program that is continuous, organized, and auditor-ready.
- Execute a control test for a sample control, including test objective, test steps, sampling approach, and pass/fail criteria.
- Write a clear, defensible audit finding with observed condition, criteria, root cause, impact, and recommendation.
- Build a management response to an audit finding that is specific, credible, and committed.
- Explain the difference between design effectiveness testing and operating effectiveness testing.
Tools & Frameworks: AuditBoard, Vanta, Claude / GPT-4
Phase 1 Milestone
Complete the foundational Risk & Governance modules to officially unlock the AI-Accelerated curriculum of Phase 2.
Phase 2: AI-Accelerated Cyber GRC
Learning Outcomes:
- Categorize AI capabilities relevant to GRC: NLP, machine learning, generative AI, and automation — and explain what each enables.
- Apply a decision framework for where AI provides genuine GRC leverage versus where it creates risk.
- Assess major AI-native and AI-augmented GRC platforms against a set of evaluation criteria.
- Explain the concept of 'AI governance' as distinct from 'AI in governance' — and why organizations need both.
- Identify the regulatory landscape governing AI use in GRC: EU AI Act, NIST AI RMF, FFIEC guidance.
Tools & Frameworks: Claude / GPT-4, ServiceNow GRC, OneTrust | Framework / Std: EU AI Act • NIST AI RMF
Learning Outcomes:
- Use generative AI tools to draft, improve, and align security policies to specific regulatory requirements.
- Design an AI-assisted policy lifecycle management system that maintains currency without manual review burden.
- Apply decision tree logic to automate governance routing decisions (e.g., exception approvals, risk acceptance workflows).
- Understand the governance requirements created by AI systems themselves — what oversight structures AI needs.
- Evaluate the risks of AI in governance: hallucination, regulatory misinterpretation, accountability gaps.
- Build a practical prompt library for AI-assisted governance engineering tasks.
Tools & Frameworks: Claude / GPT-4, Compliance.ai, ServiceNow GRC | Framework / Std: NIST CSF 2.0 • ISO 27001 • NIST AI RMF • EU AI Act
Learning Outcomes:
- Explain how machine learning is applied to threat intelligence, UEBA, and vulnerability prioritization.
- Distinguish between risk scoring models that are ML-based vs. rule-based and understand the implications of each for GRC oversight.
- Apply AI-assisted risk scoring to improve a traditional risk register with predictive and contextual signals.
- Define model risk and explain why AI models used in GRC programs require their own risk governance framework.
- Apply the NIST AI Risk Management Framework (AI RMF) to assess an AI system used in a GRC context.
- Identify the regulatory requirements for model risk governance in financial services (SR 11-7 / OCC 2011-12) and the emerging equivalent for AI more broadly.
Tools & Frameworks: Splunk ES, Recorded Future, MetricStream, ServiceNow GRC | Framework / Std: MITRE ATT&CK • EPSS • CVSS • NIST AI RMF • EU AI Act
Learning Outcomes:
- Design a predictive risk intelligence process using AI-enriched threat feeds, vulnerability data, and behavioral signals.
- Build a third-party AI risk assessment questionnaire aligned to NIST AI RMF and emerging regulatory requirements.
- Apply the EU AI Act risk classification system to categorize AI systems in use at a sample organization.
- Explain the concept of continuous risk monitoring and distinguish it from periodic risk assessment.
- Design a model inventory and model risk register for an organization that uses both internally developed and third-party AI models.
Tools & Frameworks: Recorded Future, OneTrust, Splunk ES, MetricStream | Framework / Std: EPSS • CVSS • NIST AI RMF • EU AI Act
Learning Outcomes:
- Explain how NLP-powered regulatory intelligence platforms track and classify regulatory changes across jurisdictions.
- Design an automated compliance change management workflow using AI tools.
- Apply AI-driven gap analysis to identify control deficiencies in a multi-framework compliance program.
- Build a continuous compliance monitoring architecture using a combination of SIEM, GRC platform, and AI analytics.
- Understand the limitations of automated compliance monitoring and design human oversight checkpoints.
Tools & Frameworks: Compliance.ai, ServiceNow GRC, Vanta, Splunk ES, AuditBoard | Framework / Std: NIST AI RMF
Learning Outcomes:
- Deploy automated evidence collection workflows that gather, label, and organize audit evidence without manual intervention.
- Understand how AI is being used to perform automated control testing and anomaly detection in audit contexts.
- Use AI tools to draft internal audit reports, executive risk summaries, and board-level presentations.
- Design a smart reporting architecture that provides different stakeholders with the right level of insight in the right format.
- Understand the regulator and auditor expectations around AI-generated audit evidence and reporting.
Tools & Frameworks: Vanta, AuditBoard, Claude / GPT-4, Power BI + AI | Framework / Std: NIST AI RMF • EU AI Act
Learning Outcomes:
- Explain the core principles of responsible AI: fairness, transparency, explainability, robustness, privacy, and accountability.
- Apply an AI ethics framework to evaluate a real AI deployment scenario for governance gaps.
- Design an AI governance policy and an AI incident response procedure.
- Understand the relationship between AI governance and existing GRC frameworks: how NIST AI RMF complements NIST CSF, how ISO 42001 relates to ISO 27001.
- Present a professional GRC Artifact Portfolio demonstrating mastery of Phase 1 and Phase 2 capabilities.
Tools & Frameworks: OneTrust, ServiceNow GRC, Claude / GPT-4, AuditBoard | Framework / Std: NIST AI RMF • EU AI Act • ISO 42001 • NIST CSF 2.0 • ISO 27001
🛠️ Bootcamp Day — Career Accelerator
Saturday, May 9, 2026 | 10:00 AM – 4:00 PM CT | 6-Hour Intensive
The Bootcamp is where technical mastery meets career momentum. Alongside the GRC simulation exercises, dedicated sessions are built for one purpose: converting your new skills into real opportunities — fast.
Resume Crafting Workshop
Transform generic experience into GRC-specific, keyword-optimized narratives. Swap vague responsibilities for risk-led, results-driven statements that stop recruiters mid-scroll.
Interview Preparation Intensive
Master the most common GRC interview frameworks. Practice live with peers in mock interview rounds, and sharpen your answers using the STAR method adapted for compliance professionals.
Certification Exam Guidance
Get a clear, personalized roadmap through the GRC certification landscape: CRISC, CISM, CGRC, CompTIA Security+, and AI governance credentials, mapped to your career goals.
Career Counselling Session
Map your background, skills, and goals to specific GRC and AI governance career tracks. Leave with a 30-60-90-day action plan calibrated to your current position and target role.
What You Leave Bootcamp Day With
By the end of Bootcamp Day, you will hold four career-ready assets: a polished GRC-specific resume; a rehearsed, confident interview narrative; a prioritized certification roadmap with a 90-day study plan; and a personalized career action plan.
You won't just have completed a Masterclass. You'll be positioned, prepared, and ready to move.
What You Receive
âś… Who This Is For
Career Switchers
Non-tech professionals transitioning into Cyber GRC and AI.
Students & Recent Graduates
Exploring future-ready careers in cybersecurity and governance.
IT & Security Professionals
Looking to expand into GRC or specialize in AI-driven compliance.
Risk, Audit & Compliance Officers
Wanting to modernize their approach with AI tools.
Working Professionals
From any background looking to transition into one of the fastest-growing career paths in tech.
❌ Who This Is NOT For
People looking for a passive, self-paced course — this is live and interactive.
Anyone expecting certification without effort — you'll earn your credentials through real work.
Those looking only for theory — this program is hands-on and practical.
Meet Your Instructor
What Past Participants Say
⏳ Limited Cohort — Seats Are Filling Up
This is a live, instructor-led program with limited enrollment. Once seats are filled, registration closes. Don't wait.
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Limited seats | Live cohort program | Certificate & CPE credits included