AI Regulatory Compliance for Security Professionals Training by Tonex
Artificial Intelligence (AI) regulations are reshaping how organizations manage security, compliance, accountability, and technology risks. AI Regulatory Compliance for Security Professionals Training by Tonex equips participants with essential knowledge of regulatory frameworks, governance requirements, risk assessments, and compliance controls governing AI technologies. Participants learn to interpret regulatory obligations, establish oversight procedures, and maintain compliance documentation.
AI regulatory compliance strengthens cybersecurity by addressing data protection, system integrity, access controls, and emerging security threats. Effective governance also improves cybersecurity resilience through risk monitoring, incident reporting, and accountability.
The course follows a practical training approach that includes exercises, real-world case studies, and examples of processes and documentation used in AI regulatory compliance projects.
Learning Objectives
Upon completion of this course, participants will be able to:
- Explain fundamental AI regulatory principles, governance requirements, and organizational compliance responsibilities.
- Identify major international AI regulations, standards, and regulatory expectations.
- Evaluate AI-related security, privacy, ethical, and operational compliance risks.
- Interpret regulatory obligations across AI development, deployment, and operational activities.
- Establish governance controls, accountability structures, and compliance monitoring procedures.
- Strengthen cybersecurity through regulatory alignment, security risk assessments, incident management, and AI system oversight.
- Develop compliance documentation, assessment records, and evidence supporting regulatory reviews.
- Implement continuous improvement practices for AI regulatory compliance and organizational assurance.
Audience
This course is designed for:
- Cybersecurity Professionals
- Information Security Professionals
- AI Governance Professionals
- Regulatory Compliance Officers
- Risk Management Professionals
- Data Protection and Privacy Professionals
- Security Architects and Engineers
- Internal Auditors and Compliance Assessors
- Information Technology Managers
- Legal and Corporate Governance Professionals
- AI Project Managers
- Technology Policy and Assurance Professionals
Course Modules
Module 1: Foundations of AI Regulatory Compliance
- Fundamental AI concepts and regulatory compliance principles
- Evolution of AI governance and regulatory oversight
- Organizational responsibilities for AI regulatory compliance
- AI system classification and regulatory applicability
- Accountability, transparency, and responsible AI principles
- Security professional responsibilities in AI governance
Module 2: AI Regulations and Compliance Standards
- European Union Artificial Intelligence Act requirements and obligations
- General Data Protection Regulation implications for AI systems
- National Institute of Standards and Technology AI Risk Management Framework
- International Organization for Standardization and International Electrotechnical Commission 42001 governance requirements
- Global AI regulatory developments and jurisdictional differences
- Regulatory mapping, applicability assessments, and compliance obligations
Module 3: AI Governance and Regulatory Accountability
- Establishing organizational AI governance structures and responsibilities
- Defining accountability, ownership, and regulatory reporting requirements
- Developing AI policies, procedures, and governance documentation
- Maintaining AI system inventories and classification records
- Integrating regulatory requirements into organizational decision-making
- Establishing oversight committees and management review procedures
Module 4: AI Risk Assessment and Compliance Controls
- Identifying AI-related regulatory and security risks
- Assessing high-risk AI applications and compliance exposure
- Evaluating data quality, privacy, and security obligations
- Implementing appropriate organizational and technical compliance controls
- Maintaining risk registers, assessments, and mitigation documentation
- Monitoring control effectiveness and regulatory compliance performance
Module 5: Cybersecurity and AI Regulatory Obligations
- Aligning AI security controls with regulatory requirements
- Managing AI data protection and access control obligations
- Evaluating adversarial threats and AI security vulnerabilities
- Integrating AI compliance into cybersecurity incident response
- Managing third-party AI providers and contractual responsibilities
- Addressing security reporting, disclosure, and notification requirements
Module 6: AI Compliance Auditing and Assurance
- Planning AI regulatory compliance reviews and assessments
- Establishing audit criteria and regulatory evidence requirements
- Preparing compliance reports, registers, and supporting documentation
- Identifying nonconformities and implementing corrective actions
- Monitoring regulatory changes and updating governance procedures
- Developing continuous compliance improvement and assurance programs
Strengthen your expertise in AI governance, regulatory obligations, and security compliance. Enroll in AI Regulatory Compliance for Security Professionals Training by Tonex to develop the practical knowledge and professional capabilities needed to manage AI regulatory risks, improve cybersecurity governance, and support organizational compliance.