CompTIA SecAI+
CompTIASpecialized
Exam fee
$404
≈ 319 GBP · 545 CAD · 372 EUR · rolling-avg FX; verify with your bank before any payment
Exam code
SAI-001
Renewal
3yr
The CompTIA SecAI+ is a cybersecurity certification from CompTIA with an exam fee of $404 and a 3-year renewal cycle. Career intelligence sourced from BLS and CompTIA official data using the DecipherU Methodology™.
Version 1.0 · Published April 2026 · Last verified April 2026
How is it pronounced?
COMP-tee-uh SEK-eye plus
About the CompTIA SecAI+
SecAI+ is CompTIA's newest cert and the first vendor-neutral credential to cover AI security end-to-end. It addresses the unique risks that AI systems introduce: prompt injection, training data poisoning, adversarial-input attacks, model theft, and governance of generative AI in the enterprise. The content maps to the OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI Risk Management Framework. For security practitioners adding AI to their scope, SecAI+ is the first formal credential that signals you understand the attack surface specific to AI rather than just general application security.
Who should earn it
Security practitioners whose scope now includes AI systems, appsec engineers working with ML-integrated products, and architects designing AI governance programs.
Exam details
- Provider
- CompTIA
- Exam code
- SAI-001
- Questions
- 85
- Duration
- 165 minutes
- Passing score
- 750/900
- Exam fee
- $404 (verify with CompTIA)
- Renewal
- Every 3 years via CPE
- Experience level
- Specialized
- DoD 8570/8140
- Not on the list
Prerequisites
CompTIA recommends Security+ or CySA+ plus hands-on experience with machine learning systems. Not enforced.
Key domains
- AI System Security Fundamentals
- Adversarial Machine Learning
- Generative AI and LLM Security
- AI Governance and Risk Management
- Secure AI Development and MLOps
Salary impact
Too new for stable salary data but early job postings for AI security specialists in the $130,000-$180,000 range list it as preferred. The market premium for AI-specific security expertise is currently 15-25% over equivalent generalist security roles.
Most relevant roles
Last verified: April 2026?Report an inaccuracy
Certification details are sourced from official certifying body websites. Verify current pricing, exam format, and requirements directly with the certifying organization before making decisions. DecipherU is not affiliated with any certifying body.
The CompTIA SecAI+ is a cybersecurity certification from CompTIA targeting cybersecurity specialists. It validates core competencies employers look for when hiring for security-focused roles.
The CompTIA SecAI+ exam fee is $404 as of April 2026. Pricing is set by CompTIA and subject to change. Always verify current pricing at the official CompTIA website before registering. Some employers and training programs offer exam vouchers that can reduce out-of-pocket cost.
The CompTIA SecAI+ is designed for experienced professionals seeking advanced credential recognition in a specialized area.
The CompTIA SecAI+ certification is valid for 3 years. Renewal requires earning continuing education units (CEUs) or retaking the exam before expiration. CompTIA manages the renewal process through their member portal. Plan renewal activities well before the expiration date.
The CompTIA SecAI+ is commonly listed as a preferred or required qualification for SOC Analyst, Security Engineer, Penetration Tester, and related cybersecurity roles. Use the DecipherU career assessment to find which certifications match your target role and experience level.
Sources
- CompTIA official website · Certification pricing, exam format, and renewal requirements
- Bureau of Labor Statistics, Occupational Employment and Wage Statistics, May 2024
Related Cybersecurity Resources
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DecipherU career intelligence is developed by Julian Calvo, Ed.D., M.S., using AI-assisted research, analysis, and content generation: reviewed and validated against the DecipherU Methodology™. Career and compensation data is sourced from the U.S. Bureau of Labor Statistics, O*NET OnLine, and industry compensation databases. Assessment frameworks are grounded in published psychometric research, applied learning sciences (University of Miami), organizational learning theory (Barry University), and applied AI (Northeastern University). DecipherU uses artificial intelligence as a research and authoring tool; all methodology, framework design, scoring models, and editorial standards are developed and maintained by the DecipherU team.
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