AI Systems Security Specialist (eAIS)
eAIS Certification
eAIS is a practical, role-aligned certification that validates foundational skills required to identify, test, and secure AI-powered systems.
The Exam
INE Security’s eAIS (AI Systems Security Specialist) certification evaluates a candidate’s ability to identify, test, and secure real-world AI systems, including analyzing system behavior, detecting vulnerabilities, validating risks, and applying appropriate security controls.
About the Certification Exam
The eAIS certification covers the end-to-end fundamentals of securing modern AI-powered systems, including system architecture, common attack techniques, defensive controls, security testing, and safe operational use of AI.
This certification exam emphasizes practical, real-world capability over theory. Candidates are evaluated not only on their understanding of AI security concepts, but on their ability to think like a security professional—identifying vulnerabilities, analyzing system behavior, validating risks, and applying controls to secure AI systems in real-world scenarios.
Domains + Objectives
The eAIS evaluates an individual’s ability to identify, test, and secure AI systems across key security domains.
eAIS
Exam Domains
AI/LLM Foundations for Security (15%)
AI Abuse & Exploitation (25%)
Secure AI Design & Controls (30%)
AI Security Testing & Validation (20%)
Safe Operational Use in IT/Security & SDLC (10%)
AI/LLM Foundations for Security (15%)
Explain the core components of AI/LLM systems, including models, retrieval layers, tools, and guardrails. Analyze how data flows through these systems to identify potential exposure risks related to prompts, embeddings, and stored information.
AI Abuse & Exploitation (25%)
Identify common attack techniques against AI systems, including prompt injection, data exfiltration, jailbreaks, and tool misuse. Explain how attackers exploit models, workflows, and dependencies to bypass controls, access sensitive data, or abuse system resources.
Secure AI Design & Controls (30%)
Apply security best practices to design and protect AI systems, including access control, prompt and data handling, and safe tool usage. Implement safeguards such as validation, monitoring, and abuse prevention to reduce risk and ensure secure operation.
AI Security Testing & Validation (20%)
Execute security tests on AI systems to identify vulnerabilities such as injection, data leakage, and tool misuse. Document findings, validate fixes, and assess residual risk to ensure effective and measurable security improvements.
Safe Operational Use in IT/Security & SDLC (10%)
Apply best practices for safely using AI in security operations and development workflows. Ensure proper validation, data handling, and oversight to prevent misuse, reduce risk, and support reliable decision-making.
Who It’s For
The eAIS certification is designed for individuals entering, transitioning into, or upskilling within IT and cybersecurity roles who need a practical, security-first understanding of modern AI systems.
Get eAIS Certified
To take the eAIS exam, you’ll need both an INE subscription and an exam voucher.
The Process
Whether you are attempting the eAIS certification exam independently or after completing the recommended learning path, the process is simple.
