AI security is becoming a specialised skill within cybersecurity. Security teams now have to deal with risks involving large language models, RAG applications, AI agents, model supply chains, and systems that can take actions through external tools.
For cybersecurity professionals planning their next certification in 2027, the choice should depend on the type of work they want to do. Some programs focus on hands-on application security, while others are aimed at offensive testing, AI platform security, or enterprise security management.
Here are five AI security certifications worth considering.
1. Certified AI Security Expert (MSec-CAIS) – Modern Security

The Certified AI Security Expert (MSec-CAIS) from Modern Security takes a hands-on approach to AI security. The course starts with AI, ML, GenAI, and LLM fundamentals before moving into the technologies used to build real AI applications, including embeddings, vector databases, RAG, agents, MCP, LangChain, and LangSmith.
The practical work then moves into offensive security. Students work through prompt injection, indirect prompt injection, sensitive information disclosure, agent attacks, MCP attacks, model backdoors, and AI supply-chain security. The course also covers model signing, AIBOMs, dependency pinning, model scanning, and end-to-end AI security pipelines.
The defensive side includes LLM guardrails, MCP gateways, prompt-injection defenses, security testing with Garak, and techniques for protecting sensitive information.
The course is designed for security engineers, developers, penetration testers, red teamers, and technical leaders. No previous AI or LLM experience is required, and the course includes 40 lessons with hands-on work.
2. GIAC AI Platform Security (GAIPS)

GIAC's AI Platform Security certification focuses on securing generative AI applications and LLM development pipelines. Its coverage includes AI application architecture, agentic systems, model integrations, APIs, MLOps, MLSecOps, infrastructure, and AI risk management.
GAIPS also uses GIAC's CyberLive format, which tests practical skills in virtual lab environments rather than relying only on traditional multiple-choice questions.
This makes GAIPS a relevant option for AI/ML engineers, application security engineers, developers, cloud security professionals, and security practitioners who want to assess AI systems across the development and deployment lifecycle.
3. OffSec AI Red Teamer (OSAI)

The OffSec AI Red Teamer (OSAI) certification is designed for professionals who want to approach AI security from an offensive perspective. Its AI-300 course covers attacks against LLMs, AI agents, RAG pipelines, embeddings, machine learning systems, and supporting infrastructure.
The certification exam is a practical red-team engagement in which candidates assess an AI-enabled environment and demonstrate their ability to identify and exploit vulnerabilities. OffSec recommends a strong cybersecurity foundation and experience with penetration testing, networking, operating systems, and scripting.
OSAI is therefore better suited to experienced penetration testers, red teamers, security engineers, and other professionals who want to specialise in offensive AI security.
4. ISACA Advanced in AI Security Management (AAISM)

AAISM takes a different approach. It is aimed at experienced security professionals who are responsible for managing AI-related security risks at an organisational level.
The certification covers three main areas: AI governance and program management, AI risk management, and AI technologies and controls. Candidates must hold an active CISM or CISSP certification and have relevant security or advisory experience.
AAISM makes more sense for security managers and experienced professionals involved in AI governance, policy, risk assessment, and enterprise security decisions than for someone looking primarily for hands-on AI penetration testing.
5. CompTIA SecAI+

CompTIA's SecAI+ is another certification to consider when building AI security knowledge within a broader cybersecurity career. It is suited to professionals who want to understand security considerations around AI while connecting those skills with established cybersecurity practices.
For someone at an earlier stage of an AI security career, a broader certification can provide useful groundwork before moving into a specialised area such as AI application security, AI red teaming, or security management.
Which AI Security Certification Is Right for You?

The best choice depends on the work you want to perform.
MSec-CAIS is a strong fit for professionals who want to build AI applications, test them for security weaknesses, and work through practical defensive techniques. GAIPS focuses on securing AI platforms and LLM development pipelines, while OSAI is aimed at offensive AI security and red teaming. AAISM is designed for experienced security professionals managing AI risk and governance.
Before choosing a certification for 2027, compare the curriculum, practical requirements, prerequisites, examination format, and the type of AI security work you want to pursue.