AI Security Certifications & Training

AI red teaming market CAGR growth

Average AI security salary (US)

Increase in AI-enabled attacks (2026)

Best for Offensive AI / Pentesting

EC-Council COASP ($500-900) — Certified Offensive AI Security Professional. Hands-on pentesting focus.

Also consider: SANS/GIAC AI certs for advanced red teaming ($800-1500+).

Best for Career Starters

CompTIA SecAI+ ($350+) — NEW for 2026. Foundation-level, industry-recognized entry point.

Also consider: Stanford AI Security ($545, 10-11 hours) for fundamentals.

Best Budget Option

CAISS ($80-130) — Certified AI Security Specialist. ISACA/ISC2 partnered. 16 CPE credits.

Also consider: Practical DevSecOps for hands-on pipeline security ($899+).

Best for Compliance / Governance

NCAISP — ISAC Foundation's AI Security Professional. Covers threat modeling, NIST, and ISO alignment.

Also consider: ISO/IEC 42001 lead auditor training for management systems.

Entry Level (0-2 years)

No prior AI security experience needed.

1. Stanford AI Security ($545, 10-11h) — Foundations
2. CompTIA SecAI+ ($350+) — Industry baseline, NEW 2026
3. CAISS ($80-130) — Budget-friendly starter

Estimated time: 2-4 months

Intermediate (2-5 years)

Some security or ML background expected.

1. NCAISP — Professional AI security, threat modeling
2. Practical DevSecOps ($899+) — Pipeline security focus
3. MSec-CAIS ($599) — Build, break, defend AI apps
4. QA Certified AI Security Engineer — Engineering-focused

Estimated time: 6-12 months

Advanced (5+ years)

Experienced security professionals specializing in AI.

1. EC-Council COASP ($500-900) — Offensive AI specialist
2. SANS/GIAC AI ($800-1500+) — Deep red team expertise
3. AICERTs AI+ Security L3 — Advanced adversarial ML

Estimated time: 12-18 months

SecAI+

CompTIA

Focus: Securing AI systems, AI for cybersecurity operations

AI+ Security Level 3

AICERTs

Focus: Advanced AI cybersecurity, adversarial ML, SOC operations

NCAISP

ISAC Foundation

Focus: AI threat modeling, LLM vulnerabilities, prompt injection, adversarial attacks

SANS/GIAC AI Certifications

SANS Institute & GIAC

Focus: Offensive AI, red team automation, AI-driven operations

COASP

EC-Council

Focus: Certified Offensive AI Security Professional

Certified AI Security Engineer

QA Ltd

Focus: AI security engineering

Practical DevSecOps AI Courses

Practical DevSecOps

Focus: AI security in DevSecOps pipeline

AI Security Course

Stanford Online

Focus: AI security fundamentals

MSec-CAIS

Modern Security

Focus: Build, break, defend AI applications

CAISS

Amplus Cyber (ISACA/ISC2 partner)

Focus: AI security specialist

OWASP Resources

• OWASP GenAI - Main resources
• OWASP LLM Top 10
• Agentic Security

MITRE & NIST

• MITRE ATLAS - Adversarial ML
• NIST AI RMF
• NIST AI Risk Management

Open Source Tools

• Garak - LLM vulnerability scanner
• Rebuff - Prompt injection detection
• Promptfoo - LLM testing

1. Pentester → AI Pentester

Traditional penetration testers adding AI security to their skillset.

Path: CEH/OSCP → AI security cert → practice

2. ML Engineer → AI Security

Machine learning engineers expanding into security.

Path: ML experience → security fundamentals → AI sec

3. Security Analyst → AI Analyst

SOC analysts adding AI-specific threat analysis.

Path: Security certs → AI fundamentals → AI sec

4. Developer → AI AppSec

Developers building secure AI applications.

Path: AppSec → AI/ML → AI security

Beginner

1. Start with Stanford AI Security course ($545)
2. Learn OWASP LLM Top 10
3. Practice with Garak and Promptfoo
4. Explore MITRE ATLAS

Intermediate

1. Take Practical DevSecOps AI courses
2. Get hands-on with red teaming tools
3. Build AI security testing projects
4. Consider CAISS ($80-130) for basics

Advanced

1. Pursue SANS/GIAC certifications
2. Specialize in offensive AI (COASP)
3. Build AI red team methodology
4. Contribute to open source tools