Certified Trustworthy AI Analyst (CTAI-A) Certification Program by Tonex
The Certified Trustworthy AI Analyst (CTAI-A) by Tonex is a professional certification designed to equip participants with the knowledge and skills to assess, monitor, and enhance the trustworthiness of AI systems — especially Large Language Models (LLMs) and generative AI. Drawing from OWASP, NIST, ISO/IEC 42001, and EU AI Act frameworks, this program focuses on analyzing risks, detecting vulnerabilities, and ensuring compliance with ethical and regulatory standards.
It bridges AI innovation and cybersecurity by teaching you how to identify trust failures like prompt injection, bias, and data leakage while implementing effective risk mitigation and assurance strategies. Graduates will be able to contribute confidently to AI governance, security, and reliability initiatives in complex environments.
Learning Objectives:
- Understand and apply OWASP LLM Top 10 risk mitigation practices
- Evaluate AI systems using NIST trustworthiness pillars
- Conduct trust audits of LLM workflows (training to output)
- Perform adversarial testing and red teaming for AI
- Build trust scorecards and maintain risk registries
- Design safe prompts and human-in-the-loop trust controls
- Detect and manage hallucination, bias, and model drift
- Collaborate effectively with governance, legal, and compliance teams
Target Audience:
- Cybersecurity professionals
- AI risk assessors and auditors
- AI ethics reviewers
- AI QA/test engineers
- Product security teams
Program Modules:
Module 1: OWASP LLM Threat Landscape
- Understanding OWASP LLM Top 10 risks
- Prompt injection and output manipulation
- Data leakage and privacy breaches
- Overreliance and model overconfidence
- Misuse and abuse scenarios
- Mitigation strategies for identified risks
Module 2: NIST Trustworthiness in AI
- Accuracy, resilience, and robustness
- Explainability and transparency techniques
- Reliability under adversarial conditions
- Testing for fairness and bias
- Security implications in trustworthiness
- Case studies on NIST applications
Module 3: Trust Audits and Workflow Controls
- Auditing AI training pipelines
- Monitoring inference processes
- Output control mechanisms
- Logging and traceability of decisions
- Risk registry documentation
- Reporting trust audit outcomes
Module 4: Adversarial Testing & Red Teaming
- Setting up adversarial scenarios
- Red teaming AI prompts and APIs
- Detecting trust failure patterns
- Evaluating model responses to attacks
- Reporting and remediation planning
- Lessons learned from real-world cases
Module 5: Scoring and Metrics for Trust
- Designing trust scorecards
- Building and updating risk registries
- Quantifying trust metrics
- Visualizing trustworthiness over time
- Communicating trust metrics to stakeholders
- Continuous improvement processes
Module 6: Safe Prompts & Human-in-the-Loop
- Principles of safe prompt engineering
- Avoiding malicious or misleading prompts
- Designing HITL (Human-in-the-Loop) controls
- Integrating human oversight in workflows
- Handling unexpected AI outputs
- Real-world examples of effective HITL
Exam Domains:
- OWASP LLM Threats & Controls
- Trust Scoring & Risk Metrics
- Testing & Evaluation Techniques
- Governance & Assurance Reporting
- Legal and Compliance Alignment
- Adversarial Risk Management
Course Delivery:
The course is delivered through lectures, interactive discussions, and expert-led sessions, with access to online resources such as case studies, readings, and tools for practical exercises.
Assessment and Certification:
Participants are assessed through quizzes, assignments, and a final project. On successful completion, candidates earn the Certified Trustworthy AI Analyst (CTAI-A) certificate.
Question Types:
- Multiple Choice Questions (MCQs)
- Scenario-based Questions
Passing Criteria:
To pass the Certified Trustworthy AI Analyst (CTAI-A) exam, candidates must achieve a score of 70% or higher.
Take the next step in your career by becoming a Certified Trustworthy AI Analyst. Gain the skills to protect and enhance trust in AI systems while advancing cybersecurity and compliance initiatives. Enroll today to lead with confidence.