AI Security Engineer
AI Security Engineers play a crucial role in securing AI systems and large language models. Learn more about the skills and training needed to take on this vital role.
Role profile
What does an AI security engineer do?
AI Security Engineers are critical for businesses. They play a vital role in safeguarding AI systems, ensuring the protection of sensitive data, prompts, and responses.
As businesses increasingly integrate generative AI models into their operations, AI Security Engineers are essential for deploying these models securely and maintaining their safety in production environments.
This protection is crucial for mitigating risks, maintaining trust, and ensuring that AI technologies are used safely and responsibly in business operations.
What are the main responsibilities of an AI security engineer?
As an AI Security Engineer, your role is critical in securing the AI systems and LLM's. You will assess the security of AI applications, identifying vulnerabilities and implementing the required security.
You will create AI threat models to analyse AI security risks and develop mitigation strategies and design secure AI systems and help architect AI implementations with appropriate security controls while preserving functionality.
You'll also guide AI security decisions and lead discussions about AI security trade-offs and recommend appropriate security measures.
Why do businesses need AI security engineers?
The expertise of an AI security engineer is essential in helping organisations strike the right balance between innovation and security.
Their role is to investigate emerging threats to AI and ML systems, including adversarial attacks, model poisoning, data manipulation, privacy risks, and IP theft.
They will also evaluate and implement countermeasures for resilient and secure AI, and develop and implement techniques to safeguard AI/ML models and data, such as model verification, robustness testing, data integrity checks, and privacy-preserving methods.
AI security engineer insights
Average salary
of ISC2 study participants see AI as presenting career growth opportunities
AI Security Job Vacancies
How to become an AI security engineer
There are a number of certifications and courses available to help you on your journey to becoming an AI security engineer. Our programmes include the Certified AI Security Engineer and Certified AI Governance Professional programmes, which provide the skills and qualifications needed to deliver in AI focused security roles.
Certified AI Security Engineer
Discover how to securely integrate LLMs into your applications, safeguard training data, build robust AI infrastructure, and ensure effective human-AI interaction. By the end of this course, you'll be equipped to protect your organization's AI assets and maintain the integrity of your systems.
Certified AI Governance Professional
The Artificial Intelligence Governance Professional training or 'AIGP' teaches professionals how to develop, integrate and deploy trustworthy AI systems in line with emerging laws and policies around the world.
Explore Cyber Security Apprenticeships
Our Cyber Security apprenticeship programmes are arming organisations with critical technical security know how, and enduring soft skills to become the defenders of the future.
Certified ISO 42001 Lead Implementer
The ISO/IEC 42001 Lead Implementer training course provides the participants with the essential competencies needed to effectively plan, implement, manage, monitor, maintain, and continually improve an artificial intelligence management system (AIMS).
Certified Ethical Emerging Technologist
The Certified Ethical Emerging Technologist (CEET) is designed for individuals seeking to demonstrate ethical integrity within emerging data-driven technology fields (such as artificial intelligence (AI)/machine learning, Internet of Things (IoT), data science and information security).
Insights from the experts
"Adversarial AI isn’t a future threat, it’s here now, the manipulation of AI systems to behave in unintended or harmful ways is a systemic threat that transcends any single organisation. As we push further into AI-driven innovation, understanding and mitigating these risks will become ever more important. AI security engineers will help strengthening protections against AI risks."
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