Overview of the Certified Security Professional in Artificial Intelligence Exam
The SISA CSPAI certification mandates that Security Analysts, AI Engineers, and Cloud Architects evaluate adversarial machine learning, prompt injection vulnerabilities, and model inversion attacks. Candidates must secure pipelines by implementing robust frameworks like MITRE ATLAS, OWASP Top 10 for LLMs, and NIST AI Risk Management Frameworks. Technical proficiency requires auditing data poisoning vectors, bias mitigation, and secure MLOps practices across PyTorch, TensorFlow, and LangChain environments. Practitioners assess adversarial robustness, enforce granular access controls on generative APIs, and integrate automated threat intelligence into continuous integration lifecycles. Mastery entails neutralizing prompt leakage, model extraction, and insecure output handling within enterprise AI deployments.