Certified AI Trust & Security Professional (CAITSP)

Certified AI Trust & Security Professional CAITSP by Tonex prepares practitioners to design, evaluate, and govern AI systems that are secure, explainable, and aligned with organizational risk posture. The program connects AI engineering practices with policy, assurance, and compliance so that security and governance are embedded rather than added as an afterthought. Participants learn how AI models interact with data pipelines, identity systems, and critical business processes, and how these interactions reshape risk. The program emphasizes cybersecurity implications of AI misuse, model poisoning, data leakage, and adversarial behavior across cloud and hybrid environments. You develop skills to translate abstract AI trust principles into practical control frameworks, monitoring strategies, and incident response playbooks. By the end, you will be ready to champion trustworthy AI and cybersecurity together, helping your organization deploy AI capabilities with confidence, resilience, and regulatory readiness.

Learning Objectives

• Understand foundations of AI trust, assurance, and governance across modern enterprises
• Map AI system lifecycles to organizational risk management, compliance, and audit expectations
• Apply cybersecurity controls to defend AI models, data, and pipelines from emerging threats
• Design policies and guardrails that balance innovation, safety, privacy, and business agility
• Evaluate AI systems for robustness, transparency, and ethical use in high stakes contexts
• Build monitoring strategies that detect drift, abuse, and security anomalies in AI enabled services
• Strengthen overall cybersecurity posture by integrating AI trust requirements into existing frameworks

Audience

• Cybersecurity Professionals
• AI and Machine Learning Engineers
• Security Architects and Security Engineers
• Risk Management and Compliance Officers
• Data Scientists and Analytics Leaders
• Chief Information Security Officers and Security Managers
• IT Governance, Audit, and Assurance Professionals

Program Modules

Module 1: Foundations of AI Trust and Safety

• Core concepts of AI trustworthiness
• Safety properties and reliability goals
• Relationships between AI ethics and security
• Data provenance and integrity expectations
• Trust boundaries in AI enabled ecosystems
• Organizational roles for AI accountability

Module 2: AI Threats, Vulnerabilities, and Abuse Patterns

• Adversarial attacks on models and data
• Prompt injection and content manipulation risks
• Model inversion and sensitive information exposure
• Supply chain threats to AI components
• Misuse of generative AI by insiders
• Threat modeling techniques tailored to AI

Module 3: Governance, Policy, and Regulatory Alignment

• Emerging AI regulations and global guidance
• Translating policy into actionable controls
• RACI structures for AI security ownership
• Model registration, inventory, and documentation
• Third party and vendor AI risk oversight
• Alignment with existing cybersecurity frameworks

Module 4: Secure AI Engineering and Deployment Practices

• Secure design for AI architectures and pipelines
• Hardening model endpoints and service interfaces
• Identity, access, and key management for AI
• Secure data handling across training workflows
• Testing, validation, and red teaming considerations
• Resilience design for failures and degradations

Module 5: Monitoring, Incident Response, and Assurance

• Telemetry requirements for AI security monitoring
• Detecting drift, anomalies, and misuse patterns
• Playbooks for AI specific incident response
• Post incident analysis and lessons learned
• Continuous assurance and control effectiveness reviews
• Reporting AI risk posture to leadership

Module 6: Strategy, Roadmapping, and Organizational Change

• Building an AI trust and security strategy
• Prioritizing initiatives using risk based approaches
• Integrating AI into enterprise cybersecurity programs
• Stakeholder engagement and communication practices
• Skills, training, and capability development pathways
• Maturity assessments and improvement roadmaps

Exam Domains

1. AI Trust Foundations and Architectural Principles
2. Adversarial Threats and AI Risk Scenarios
3. Governance, Compliance, and Policy for AI Systems
4. Secure AI Engineering and Operational Controls
5. Monitoring, Incident Response, and Assurance for AI
6. Strategic AI Security Leadership and Transformation

Course Delivery
The course is delivered through a combination of lectures, interactive discussions, and guided workshops led by experts in AI trust and security. Participants work through real world scenarios, case based exercises, and structured group activities that connect AI design decisions with organizational risk outcomes. The learning experience blends conceptual frameworks with practical tools, templates, and checklists that can be adapted to different industries. Online resources such as readings, case narratives, and curated tools support continuing development beyond the classroom and help teams integrate cybersecurity and AI trust practices into daily work.

Assessment and Certification
Participants are assessed through quizzes, short written assignments, and a capstone style integration exercise that links AI governance, engineering controls, and cybersecurity requirements. Performance is evaluated on both conceptual understanding and the ability to apply ideas to realistic organizational situations. Upon successful completion of the program and final assessment, participants receive the Certified AI Trust & Security Professional CAITSP Certification from Tonex, demonstrating validated expertise at the intersection of AI assurance and cybersecurity.

Question Types

• Multiple Choice Questions MCQs
• Scenario based Questions

Passing Criteria
To pass the Certified AI Trust & Security Professional CAITSP Certification Program exam, candidates must achieve a score of 70% or higher in the combined assessments, demonstrating consistent competence in AI trust, governance, and cybersecurity integration.

Elevate your role at the intersection of AI innovation and cybersecurity by becoming a Certified AI Trust & Security Professional with Tonex. Enroll now to gain the frameworks, language, and practical tools needed to guide your organization toward trustworthy, resilient, and secure AI adoption.