AI Security Policy and Compliance Training by Tonex
As artificial intelligence (AI) adoption expands, organizations must establish effective security policies, governance structures, and compliance practices to manage emerging risks. AI Security Policy and Compliance Training by Tonex equips professionals with knowledge of regulatory expectations, policy development, risk assessment, security controls, and organizational accountability.
Strong AI security governance strengthens cybersecurity by addressing unauthorized access, data exposure, model misuse, and system vulnerabilities. Integrating AI policies with cybersecurity frameworks improves risk oversight, incident management, and regulatory compliance.
The course follows a practical training approach that includes exercises, real-world case studies, and examples of processes and documentation used in AI security policy and compliance projects.
Learning Objectives
Upon completion of this course, participants will be able to:
- Understand fundamental AI security principles, governance structures, and compliance obligations.
- Develop organizational policies addressing AI security, accountability, and responsible deployment.
- Identify regulatory requirements and established frameworks governing AI applications.
- Evaluate AI-related risks involving data, models, applications, and organizational operations.
- Establish security controls, responsibilities, and documentation requirements for AI governance.
- Integrate AI governance with cybersecurity policies to strengthen threat prevention, data protection, and incident response.
- Assess third-party AI services and associated contractual and security obligations.
- Implement compliance monitoring, reporting, auditing, and continuous improvement practices.
Audience
This course is designed for:
- Cybersecurity Professionals
- AI Governance Professionals
- Information Security Managers
- Compliance and Regulatory Professionals
- Risk Management Professionals
- Data Protection Officers
- Information Technology Managers
- AI Project Managers
- Internal Auditors
- Security Policy Developers
- Legal and Corporate Governance Professionals
- Technology Consultants
- Enterprise Architects
Course Modules
Module 1: AI Security Governance Foundations
- Fundamental AI security principles and organizational responsibilities
- AI governance structures, accountability, and decision-making authority
- Security challenges across AI development and deployment
- Relationships between AI governance and enterprise security
- Roles of security, compliance, and business stakeholders
- Organizational security objectives and governance documentation
Module 2: AI Security Policy Development
- Establishing organizational AI security policy requirements
- Defining acceptable AI usage and operational boundaries
- Developing security standards, procedures, and control responsibilities
- Establishing data handling and access management policies
- Integrating AI security into existing corporate policies
- Policy approval, communication, enforcement, and periodic review
Module 3: Regulatory Compliance and Framework Alignment
- Overview of international AI regulations and standards
- European Union Artificial Intelligence Act compliance considerations
- International Organization for Standardization AI management requirements
- National Institute of Standards and Technology risk management guidance
- Mapping regulatory obligations to organizational security controls
- Maintaining compliance registers, records, and supporting evidence
Module 4: AI Security Risk Management
- Identifying AI security threats and organizational vulnerabilities
- Assessing risks across AI applications and workflows
- Evaluating data exposure, privacy, and confidentiality risks
- Addressing adversarial manipulation and unauthorized model access
- Selecting appropriate risk mitigation and security controls
- Documenting risk assessments, treatment decisions, and residual risks
Module 5: AI Security Controls and Assurance
- Establishing identity, authentication, and authorization requirements
- Protecting sensitive information throughout AI data processing
- Implementing security requirements for third-party AI services
- Managing AI security incidents and reporting obligations
- Reviewing control effectiveness and security assurance documentation
- Coordinating security responsibilities across organizational functions
Module 6: Compliance Oversight and Continuous Improvement
- Establishing AI security compliance monitoring processes
- Defining compliance indicators, reporting, and management oversight
- Conducting internal reviews and security compliance assessments
- Managing policy violations, corrective actions, and exceptions
- Maintaining audit records and regulatory evidence documentation
- Improving AI security governance through periodic policy updates
Strengthen organizational AI security, establish effective governance policies, and navigate evolving compliance requirements with confidence. Enroll in AI Security Policy and Compliance Training by Tonex to develop practical expertise in AI security governance, regulatory alignment, risk management, and compliance oversight.