Trusted AI Safety Expert (TAISE)
Build AI governance and security capability with TAISE- winner of the 2026 SC Award for Best Professional Certification Program. Live, instructor-led training designed to secure AI systems and operationalize governance in real-world environments.
Description
The Trusted AI Safety Expert (TAISE) certificate, developed by the Cloud Security Alliance (CSA) and Northeastern University, is a rigorous, research-backed program for professionals who build, manage, or audit intelligent systems.
Through 10 comprehensive modules and a final exam, learners gain the skills to evaluate AI risks, apply AI safety and security controls, and lead responsible AI adoption.
About This Course
TAISE is tailored for IT and security professionals interested in expanding their knowledge of AI best practices. This includes AI developers, practitioners, auditors, compliance and governance professionals, and others who are committed to integrating safety protocols into AI technologies.
Ideal for professionals who:
● Develop, manage, or audit AI systems
● Oversee compliance, ethics, or governance programs
● Lead AI adoption strategies in enterprises
● Secure AI/ML pipelines and data systems
TAISE covers ten core domain/modules of AI safety, equipping professionals with the frameworks, tools, and practical methods needed to navigate regulatory requirements, defend against emerging AI threats, and build organizational trust in AI.
Module 1: Introduction to AI
Provides foundational knowledge of AI concepts, modalities, and their historical evolution.
Module 2: Generative AI Architecture & Design
Explores the technical components, training methods, and deployment considerations of generative AI.
Module 3: AI Use Cases: GenAI, Multimodal & AI Agents
Examines real-world applications of generative AI across industries while addressing ethical implications such as deepfakes, misinformation, and bias.
Module 4: Ethics, Transparency, & Explainability in AI
Introduces key ethical principles and practical explainability methods to promote fairness, accountability, and transparency in AI systems.
Module 6: Governance, Risk Management, & Compliance
Focuses on governance structures, regulatory frameworks, and compliance models for managing AI systems responsibly at the organizational level.
Module 7: Introduction to AI Safety & Security
Differentiates between AI safety and AI security, highlighting the unique challenges of securing GenAI.
Module 8: Cloud & AI Security
Details cloud security fundamentals for AI, including deployment strategies, monitoring, Zero Trust, and incident response planning
Module 9: Data Security & Privacy in AI Systems
Explains techniques for ensuring data quality, privacy, and governance in AI systems, with a focus on authenticity, minimization, and secure handling.
Module 10: Continuous Learning & Adaptation
Emphasizes ongoing monitoring, feedback loops, and MLSecOps practices to keep AI systems accurate, resilient, and safe over time.
Who Should Attend?
- CISOs,
- AI Engineers,
- Data Scientists,
- Compliance Managers,
- Risk Officers
- Security Architects
- Business Analysts
Prerequisites
No prerequisites are required before you take the TAISE training and exam. A basic familiarity with AI, cloud, and cybersecurity is recommended.
Assessment
- Environment: Online, open-book, unproctored
- Questions: 60 multiple-choice questions (6 per module)
- Time Limit: 120 minutes
- Passing Score: 80%
- Attempts: 2 included with the training + exam bundle (valid for 2 years)
The results are immediate. You will know your score as soon as you finish the exam.
Certification Logo
CPD Hours
The course attracts 21 CPD hours.
What's Included?
- Course Study Guide
- Glossary of AI terminology
- 3 days Instructor led training
- 2 x Exam attempts
- Access to the TAISE Prompt Library