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CSA TAISE (Trusted AI Safety Expert Certificate) Fact Sheet

Exam Overview

Exam Code: TAISE Exam Name: Trusted AI Safety Expert (TAISE) Certificate Level: Knowledge certificate (CSA's level label not verified; basic familiarity with AI, cloud and security concepts recommended) Duration: 120 minutes Format: Online, open-book and unproctored (CSA launch article) Questions: 60 multiple-choice, 6 per module across 10 modules Passing Score: 80% (CSA education page) Cost: US$795 for the TAISE Training + Exam Bundle, including two exam attempts (CSA education page, checked 2026-11-07). CSA sells it only as a bundle, with no exam-only option Valid For: The two included exam attempts are valid for 2 years. The pages I read do not state how long the certificate itself is valid or any renewal requirement Delivery: Online through CSA's training site; created by CSA with Northeastern University Languages: The education page says the Online Self-Paced training is available only in English; instructor-led courses may offer other languages on demand Prerequisites: None required

Verify before booking. Everything above was read from CSA's pages on 2026-11-07. The certificate launched in October 2025, so details may change; the prep kit's Knowledge Guide and FAQ (a download) hold the full exam format and were not read here.

📖 CSA TAISE education page - exam format, price, prerequisites and the ten curriculum modules 📖 Introducing TAISE (CSA) - format, partnership with Northeastern University, topic areas 📖 TAISE prep kit (CSA) - knowledge guide, curriculum, FAQ and sample questions (download)

Who it is for

Security, risk, compliance and engineering staff who need a recognized grounding in AI safety and security across the AI life cycle. It is a knowledge-based certificate rather than an experience-based credential.

Exam Domains

CSA organizes the curriculum into ten self-paced modules, and the exam has six questions per module, so the modules are weighted equally (10% each). The order below is CSA's.

Module Weight Notes
1. Introduction to AI 10% 01
2. Generative AI Architecture and Design 10% 01
3. Generative AI Use Cases and Applications 10% 02
4. Ethics, Transparency, and Explainability in AI 10% 02
5. AI Model Lifecycle and Threat Taxonomy 10% 03
6. Model Governance, Risk Management, and Compliance 10% 03
7. Introduction to AI Security and Safety 10% 04
8. Cloud and AI Security 10% 04
9. Data Security and Privacy AI Systems 10% 05
10. Continuous Learning and Adaption 10% 05

CSA's names are shown as published (including "Adaption"). CSA's launch article describes the topic areas slightly differently (for example "cloud security and incident response in AI environments"); the education page's module list is used here.