SISA CSPAI Exam Information and Actual Questions

  • Exam Code/Number: CSPAI
  • Exam Name/Title: Certified Security Professional in Artificial Intelligence
  • Certification Provider: SISA
  • Corresponding Certification: Cyber Security for AI
  • Exam Questions: 52
  • Updated On: Sep 27, 2026

CSPAI
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SISA
CSPAI Exam
Certified Security Professional in Artificial Intelligence

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All the information you need to pass SISA Certified Security Professional in Artificial Intelligence CSPAI exam and free practice exam verified by ExamDiscuss exam experts.

SISA CSPAI Exam Overview:

Certification Vendor:SISA
Exam Name:Certified Security Professional in Artificial Intelligence (CSPAI)
Exam Number:CSPAI
Passing Score:56%-70% (varies by program source/version)
Exam Format:Multiple Choice Questions, Scenario-based Questions
Exam Price:Varies by region and training bundle (typically quote-based / training-included)
Real Exam Qty:50
Exam Duration:60 minutes
Related Certifications:AI Security Certification
Cybersecurity Certification
Available Languages:English
Certificate Validity Period:3 years
Recommended Training:SISA CSPAI Training Program
Exam Registration:Official CSPAI Registration
Sample Questions:SISA CSPAI Sample Questions
Exam Way:Online or proctored exam (Prometric or remote proctoring depending on cohort)
Pre Condition:Recommended: 2+ years experience in cybersecurity or AI/ML, OR completion of a 16-hour CSPAI training/workshop.
Official Syllabus URL:https://www.sisa.ai/sisa-institute/get-certified/certification/cspai

SISA CSPAI Exam Syllabus Topics:

TopicDetails
Topic 1
  • Using Gen AI for Improving the Security Posture: This section of the exam measures skills of the Cybersecurity Risk Manager and focuses on how Gen AI tools can strengthen an organization’s overall security posture. It includes insights on how automation, predictive analysis, and intelligent threat detection can be used to enhance cyber resilience and operational defense.
Topic 2
  • Improving SDLC Efficiency Using Gen AI: This section of the exam measures skills of the AI Security Analyst and explores how generative AI can be used to streamline the software development life cycle. It emphasizes using AI for code generation, vulnerability identification, and faster remediation, all while ensuring secure development practices.
Topic 3
  • Securing AI Models and Data: This section of the exam measures skills of the Cybersecurity Risk Manager and focuses on the protection of AI models and the data they consume or generate. Topics include adversarial attacks, data poisoning, model theft, and encryption techniques that help secure the AI lifecycle.

Reference: https://www.sisainfosec.com/training/payment-data-security-programs/cspai/



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