INE launches eAIS certification to secure AI systems
INE introduces the AI Systems Security Specialist (eAIS) certification to equip IT and cybersecurity professionals with practical skills to secure AI-enabled systems. The vendor-neutral certification covers five core domains, including AI abuse, secure design, and operational safety. It is available immediately for individuals and enterprises.
*this image is generated using AI for illustrative purposes only.
INE, a provider of cybersecurity and networking training, has launched the AI Systems Security Specialist (eAIS) certification. This new credential is designed to help IT, cybersecurity, and operations professionals understand, assess, and secure modern AI-enabled systems. The certification aims to address the growing gap between general AI literacy and advanced AI red teaming by focusing on practical, operational security outcomes.
The eAIS certification is built for technology and operations professionals who are not AI engineers but are increasingly expected to identify AI-specific risks and apply baseline controls. It targets IT support teams, help desk professionals, system administrators, junior security analysts, SOC teams, DevOps, platform, and cloud operations professionals, as well as students and career changers entering cybersecurity.
Key Learning Areas
The certification emphasizes security-first AI fundamentals, including understanding how LLM applications, RAG pipelines, tools, agents, and logging systems create new exposure points. It covers identifying risks such as prompt injection, jailbreaks, data leakage, RAG poisoning, tool misuse, and over-permissioning.
Practical safeguards taught in the program include least privilege, parameter validation, fail-closed controls, human-in-the-loop gates, structured outputs, retrieval hardening, and safe logging. The curriculum also focuses on testing and validating mitigations through repeatable, hands-on exercises and using AI safely in SOC, IT operations, automation, and SDLC workflows.
Exam Domains
The eAIS exam covers five core domains:
| Domain |
|---|
| AI and LLM foundations for security |
| AI abuse and exploitation |
| Secure AI design and controls |
| AI security testing and validation |
| Safe operational use in IT, security, and SDLC environments |
The learning path includes modules on AI systems for security practitioners, embeddings and RAG security, prompt injection and jailbreaks, tool and agentic workflow abuse patterns, defensive controls, secure integrations, human-in-the-loop automation, telemetry, and AI security testing.
Availability
The AI Security Fundamentals (eAIS) certification and learning path are available now through INE. For details on exam requirements, preparation resources, and enterprise training options, professionals can visit the INE website.
Will major cloud providers and enterprise software vendors integrate these specific AI security controls into their native platforms?
How will the demand for this certification influence hiring standards for general IT and SOC roles over the next year?
Could this certification become a prerequisite for regulatory compliance in industries heavily adopting AI?
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