> For the complete documentation index, see [llms.txt](https://modern-security.gitbook.io/ai-security-and-cybersecurity/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://modern-security.gitbook.io/ai-security-and-cybersecurity/best-ai-cybersecurity-certifications-in-2027.md).
# Best AI Cybersecurity Certifications in 2027
Explore the top AI cybersecurity certifications for 2027. Hands-on AI security training labs for cybersecurity professionals and beginners.
AI security is becoming a specialized area within cybersecurity. Security teams are dealing with LLM applications, RAG systems, AI agents, model integrations, AI supply chains, and new attack methods that do not fit neatly into traditional application security testing.
For cybersecurity professionals planning their next career move, an AI-focused certification can help build knowledge in this area. The best choice depends on whether your goal is hands-on AI application security, AI platform security, or enterprise AI risk management.
The following three certifications are strong options to consider for 2027, based on programs available or established by 2026.
### 1. Certified AI Security Expert (MSec-CAIS) by Modern Security
Best for: Security engineers, AppSec professionals, penetration testers, red teamers, developers, and cybersecurity professionals moving into AI security.
The Certified AI Security Expert (MSec-CAIS) from Modern Security takes a practical approach to AI security. The program starts with AI and LLM fundamentals before moving into hands-on security testing. No previous AI or LLM experience is required.
The[ AI Security Certification](https://www.modernsecurity.io/courses/ai-security-certification) covers LLM APIs, embeddings, vector databases, RAG, AI agents, MCP, AI threat modeling, prompt injection, sensitive information disclosure, model backdoors, AI supply-chain security, guardrails, and defensive architecture. The current course lists 40 lessons and hands-on training.
This makes MSec-CAIS particularly useful for professionals who want to understand how AI applications are built, how they can be attacked, and how security controls can be applied.
### 2. GIAC AI Platform Security (GAIPS)
Best for: Experienced application security, cloud security, AI/ML, and security engineering professionals.
GIAC's AI Platform Security (GAIPS) focuses on auditing and securing generative AI applications and LLM development pipelines. Its curriculum includes agentic systems, AI application architecture, MLOps and MLSecOps, AI infrastructure, RAG, model customization, and AI risk management.
A major feature is GIAC's CyberLive examination format. Instead of relying entirely on multiple-choice questions, candidates work in virtual environments with real security tools, code, and systems. The current GAIPS exam has 54 questions, a two-hour duration, and a 65% passing score for the exam version released from July 25, 2026.
GIAC currently lists GAIPS as an AI-focused practitioner certification, making it a relevant option for technical professionals who want to validate practical AI platform security skills.
### 3. ISACA Advanced in AI Security Management (AAISM)
Best for: Senior cybersecurity professionals, security managers, CISOs, and enterprise risk professionals.
The ISACA Advanced in AI Security Management (AAISM) follows a different path. Rather than concentrating primarily on penetration testing, it focuses on enterprise AI security management.
The certification covers AI Governance and Program Management, AI Technologies and Controls, and AI Risk Management. ISACA positions it for experienced IT professionals who need to manage AI-related security risks and support responsible use of AI within an organization.
AAISM has a significant prerequisite: candidates must hold an active CISM or CISSP certification and have relevant security or advisory experience, along with some experience assessing, implementing, and maintaining AI systems.
For professionals moving toward AI security leadership, governance, and enterprise risk, AAISM may be a better fit than a purely technical certification.
### Which AI Security Certification Should You Choose?
Your career direction should guide the decision.
| Certification | Best Fit |
| ------------- | --------------------------------- |
| MSec-CAIS | Hands-on AI application security |
| GIAC GAIPS | AI platform and LLM security |
| ISACA AAISM | Enterprise AI security management |
AI security is also becoming part of broader cybersecurity certification paths. ISC2 has been adding AI concepts across its certification portfolio while developing dedicated AI security guidance.[ ISC2 AI Security Skills Guidance](https://www.isc2.org/landing/AI-security-skills)
For 2027, cybersecurity professionals should look beyond the certificate itself. Practical experience with AI applications, threat modeling, security testing, agents, RAG, and defensive controls can make the certification far more useful in real-world security work.
If your goal is to build hands-on AI security skills,[ Modern Security](https://www.modernsecurity.io/) offers a focused path around building, testing, and securing modern AI applications.
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