TAISE stands for Trusted AI Safety Expert. The Cloud Security Alliance built it with Northeastern University's Institute for Experiential AI and sells it as a training and exam bundle for $795. There is no exam-only route. The ten modules run in a sensible order: introduction to AI, generative AI architecture and design, use cases, ethics and explainability, the AI model lifecycle and threat taxonomy, governance risk and compliance, AI security and safety, cloud and AI security, data security and privacy in AI systems, and continuous learning. The exam takes six questions from each module for 60 in total, gives you 120 minutes, and needs 80% to pass.
It is closed book. You get two attempts, usable within two years. What I like is the cloud angle. Most AI governance courses ignore where models actually run. CSA's background in cloud controls shows up in the modules on cloud AI security and data security, and those are the parts a cloud security engineer will get the most from.
The threat taxonomy module is also a reasonable survey. What I do not like is that it stays theoretical. There are no labs, no red team exercises, nothing where you touch a model. For a $795 course in 2026, when free platforms like HackAPrompt and paid ones like HTB give you real hands-on work, that is a gap. The first three modules are also a fairly generic AI introduction, so experienced people pay for material they will skim. The recognition question matters too.
CSA calls it a certificate. Hiring managers searching for AI governance credentials tend to look for IAPP AIGP or ISACA AAISM, and in my experience TAISE does not yet appear in job ads the way CCSK does. That may change, since search interest has grown from almost nothing a year ago, but I would not buy it for the CV line alone. I give it 3.6. The structure and exam are solid.
The price and lack of practice hold it back.