Certified Generative AI Risk Manager (C-GenAIRM)

Certified Generative AI Risk Manager (C-GenAIRM) Certification Program by Tonex

This program prepares leaders to govern, assess, and secure enterprise GenAI. It blends compliance, risk, and operational controls into a practical framework. You learn to manage multimodal models across text, image, audio, and video. You align policies with EU AI Act, NIST AI RMF, and ISO/IEC 42001. You build evidence for audits and product reviews. You design incident playbooks that work under pressure.

Cybersecurity impact is direct. You harden GenAI pipelines against prompt injection and data leakage. You detect deepfakes and prevent abuse at scale. You operationalize guardrails, monitoring, and response. You integrate with security operations and legal teams. The result is safer releases, faster approvals, and lower risk. Organizations gain trust and resilience without slowing innovation.

Learning Objectives:

• Build a GenAI risk taxonomy and control baseline.
• Govern multimodal systems with clear accountability.
• Implement authenticity and deepfake defenses.
• Map controls to EU AI Act, NIST AI RMF, ISO/IEC 42001.
• Operationalize guardrails, monitoring, and IR playbooks.
• Produce audit-ready evidence and metrics.

Audience:

• Cybersecurity Professionals
• Risk and Compliance Officers
• AI Product Managers
• Security Architects and Engineers
• Data Protection and Privacy Leads
• Legal, Audit, and Governance Stakeholders

Program Modules:

Module 1: GenAI Risk Foundations

• GenAI architectures and threat surfaces
• Risk taxonomy and likelihood/impact methods
• Data privacy, IP, and safety considerations
• Attack classes: prompt injection and inversion
• Third-party and open-model risk
• Risk registers and control mapping

Module 2: Governance of Multimodal GenAI

• Oversight structures, roles, and RACI
• Policy for text, image, audio, and video models
• Data governance for training and inference
• Human-in-the-loop approvals and gates
• Shadow AI discovery and containment
• Vendor governance and due diligence

Module 3: Content Authenticity and Deepfake Defense

• Watermarking techniques and limitations
• C2PA provenance workflows end-to-end
• Deepfake detection pipelines and tuning
• Abuse monitoring and takedown processes
• Brand, fraud, and election risk controls
• User education and trust signals

Module 4: Compliance Alignment (EU AI Act, NIST AI RMF, ISO/IEC 42001)

• Risk classification and conformity paths
• AI impact assessments and DPIA linkage
• Control libraries, policies, and records
• Model cards, datasheets, and logging
• Audit readiness and evidence management
• Cross-border data and sector rules

Module 5: Secure Operations and Incident Response for GenAI

• Threat modeling for prompts, tools, and agents
• Guardrails, filters, rate limits, and quotas
• Telemetry, drift, and anomaly detection
• IR runbooks for misuse and data leaks
• Legal, PR, and stakeholder coordination
• Post-incident reviews and improvements

Module 6: Implementation and Assurance

• Minimum control baselines and exceptions
• Secure SDLC for GenAI applications
• Red teaming and evaluation strategies
• KPIs, KRIs, and risk dashboards
• Vendor SLAs and continuous assessments
• Roadmaps, training, and change management

Exam Domains:

1. Enterprise GenAI Risk Strategy
2. Model Supply Chain Assurance
3. Responsible Data Use and Privacy Engineering
4. AI Output Integrity and Abuse Prevention
5. Regulatory Evidence and Audit Management
6. GenAI Incident Command and Recovery

Course Delivery:
The course is delivered through a combination of lectures, interactive discussions, hands-on workshops, and project-based learning, facilitated by experts in the field of Certified Generative AI Risk Manager (C-GenAIRM). Participants will have access to online resources, including readings, case studies, and tools for practical exercises.

Assessment and Certification:
Participants will be assessed through quizzes, assignments, and a capstone project. Upon successful completion of the course, participants will receive a certificate in Certified Generative AI Risk Manager (C-GenAIRM).

Question Types:

• Multiple Choice Questions (MCQs)
• Scenario-based Questions

Passing Criteria:
To pass the Certified Generative AI Risk Manager (C-GenAIRM) Certification Training exam, candidates must achieve a score of 70% or higher.

Ready to lead responsible GenAI adoption? Enroll now. Bring your team, align risk and compliance, and accelerate trustworthy AI.