6 answers
Choi
Student
Seoul, South Korea
1
Question
Updated
1665 views
I wish to understand the career path to becoming an AI security expert.?
I am a student at a university in Korea who has been studying AI and security.
As there are currently no entry-level positions related to AI security available in Korea, I am curious whether such roles will be developed within the next two years, including during my military service.
I also wish to learn how to become an AI security expert.
This is because I enjoy studying AI and security.
5 answers
Kristen Drobnis
Data Protection Officer
11
Answers
Mashpee, Massachusetts
Updated
Kristen’s Answer
If you're interested in AI security or AI roles, start by exploring positions in data science, as that's the foundation of AI. Consider roles like data analyst or security analyst to build your analytical skills. Combining these skills with information security knowledge is crucial. Focus on learning AI tools like Python and Tableau, and understand how algorithms work to improve your expertise. Additionally, enrolling in an AI certificate program or taking a class focused on AI will help you gain more skills.
Anne Wong
Software Development
8
Answers
Redwood City, California
Updated
Anne’s Answer
AI security is growing fast and will be vital as AI becomes more common in business and tech. Here's a simple guide to becoming an AI security expert:
1. Build a Strong Cybersecurity Foundation
- Learn the basics of cybersecurity, like encryption and network security.
- Understand common security flaws like SQL injection and cross-site scripting.
- Get to know offensive security by learning about penetration testing and ethical hacking.
- Keep up with new hacking methods by reading blogs and attending webinars.
2. Understand AI and Machine Learning
- Learn the basics of AI and machine learning, including supervised and unsupervised learning.
- Study neural networks and deep learning.
- Familiarize yourself with large language models like GPT-3 or GPT-4.
- Know the difference between training AI models and using them for predictions.
- Be aware of security issues in AI, like adversarial attacks and data poisoning.
3. Focus on AI-Specific Security Challenges
- Learn how AI systems can be exploited, such as through automated phishing.
- Study injection attacks that can create vulnerabilities in AI models.
- Understand the ethical concerns and biases in AI that can lead to security risks.
4. Stay Informed and Connect with the AI Security Community
- Follow AI research and developments to understand new security risks.
- Join AI security networks on platforms like LinkedIn and Reddit.
- Contribute to open-source AI security projects for hands-on experience.
5. Identify a Specialization in AI Security
- Choose a specific area to focus on, like adversarial machine learning or AI ethics.
- Consider specializing in automated security testing for AI systems.
- Deepen your expertise in one area to become a leader in that niche.
1. Build a Strong Cybersecurity Foundation
- Learn the basics of cybersecurity, like encryption and network security.
- Understand common security flaws like SQL injection and cross-site scripting.
- Get to know offensive security by learning about penetration testing and ethical hacking.
- Keep up with new hacking methods by reading blogs and attending webinars.
2. Understand AI and Machine Learning
- Learn the basics of AI and machine learning, including supervised and unsupervised learning.
- Study neural networks and deep learning.
- Familiarize yourself with large language models like GPT-3 or GPT-4.
- Know the difference between training AI models and using them for predictions.
- Be aware of security issues in AI, like adversarial attacks and data poisoning.
3. Focus on AI-Specific Security Challenges
- Learn how AI systems can be exploited, such as through automated phishing.
- Study injection attacks that can create vulnerabilities in AI models.
- Understand the ethical concerns and biases in AI that can lead to security risks.
4. Stay Informed and Connect with the AI Security Community
- Follow AI research and developments to understand new security risks.
- Join AI security networks on platforms like LinkedIn and Reddit.
- Contribute to open-source AI security projects for hands-on experience.
5. Identify a Specialization in AI Security
- Choose a specific area to focus on, like adversarial machine learning or AI ethics.
- Consider specializing in automated security testing for AI systems.
- Deepen your expertise in one area to become a leader in that niche.
Isha Jagawat
Marketing
7
Answers
Mumbai, Maharashtra, India
Updated
Isha’s Answer
If you're interested in both AI and security, don't wait for a specific "AI Security Engineer" job title to start. The field is still growing, and many future AI security experts will likely come from backgrounds in cybersecurity or AI/ML.
Here's a practical path:
1. Begin with cybersecurity basics like networking, Linux, Python, web security, authentication, cloud basics, and common attack methods.
2. Develop skills in offensive security. If you're interested in red teaming or pentesting, consider certifications like Security+, CEH, eJPT, or later on, OSCP/CPENT, depending on your experience and learning style. You don't need all of them.
3. Learn about AI, including how ML models, LLMs, RAG systems, and AI agents work. Then, study their security issues, such as prompt injection, data poisoning, adversarial attacks, model abuse, insecure AI applications, and attacks on AI agents.
4. Once you have this foundation, you can specialize in AI red teaming or AI security testing. Specialized options like COASP are available but should be considered later.
5. Alongside certifications, build practical experience. Engage with TryHackMe or Hack The Box labs, CTFs, security research, test open-source AI applications, or document small AI security experiments to discuss in interviews.
Think of the progression as moving from cybersecurity fundamentals to offensive security, then to understanding AI/ML, and finally to specializing in AI security. This can lead to AI security roles.
Even if these roles aren't common in Korea yet, a strong foundation in security or red teaming can help you start. By the time you're ready to specialize, the job market might have changed.
Here's a practical path:
1. Begin with cybersecurity basics like networking, Linux, Python, web security, authentication, cloud basics, and common attack methods.
2. Develop skills in offensive security. If you're interested in red teaming or pentesting, consider certifications like Security+, CEH, eJPT, or later on, OSCP/CPENT, depending on your experience and learning style. You don't need all of them.
3. Learn about AI, including how ML models, LLMs, RAG systems, and AI agents work. Then, study their security issues, such as prompt injection, data poisoning, adversarial attacks, model abuse, insecure AI applications, and attacks on AI agents.
4. Once you have this foundation, you can specialize in AI red teaming or AI security testing. Specialized options like COASP are available but should be considered later.
5. Alongside certifications, build practical experience. Engage with TryHackMe or Hack The Box labs, CTFs, security research, test open-source AI applications, or document small AI security experiments to discuss in interviews.
Think of the progression as moving from cybersecurity fundamentals to offensive security, then to understanding AI/ML, and finally to specializing in AI security. This can lead to AI security roles.
Even if these roles aren't common in Korea yet, a strong foundation in security or red teaming can help you start. By the time you're ready to specialize, the job market might have changed.
Vianne Phan
Youth Development Teacher
316
Answers
San Diego, California
Updated
Vianne’s Answer
Pursuing a career as an AI security expert is an excellent choice right now, as it's a rapidly growing field worldwide. As businesses adopt AI systems, they need experts who can protect these systems from attacks, misuse, or failures. Concerns about AI-related risks, such as data leaks and harmful decisions by autonomous systems, are increasing. This means there's a rising demand for specialists who know both AI and cybersecurity. Industry experts say AI vulnerabilities are becoming one of the fastest-growing risks in cybersecurity, prompting companies to invest more in this area. Even if there are currently fewer entry-level AI security jobs in some countries, the field itself is expanding.
This career path usually involves building two key skill sets. First, you need strong technical skills in computer science, networking, and cybersecurity. Second, you need knowledge of machine learning and AI. Most people don't start as "AI security experts" right away. A typical path involves studying computer science or cybersecurity, then gaining experience in roles like SOC analyst, security engineer, or machine learning engineer before specializing. Many professionals suggest a step-by-step learning approach: start with programming (especially Python), learn about operating systems and networks, study cybersecurity basics, and then explore machine learning and AI model security. This progression is important because AI security combines both fields.
This career path usually involves building two key skill sets. First, you need strong technical skills in computer science, networking, and cybersecurity. Second, you need knowledge of machine learning and AI. Most people don't start as "AI security experts" right away. A typical path involves studying computer science or cybersecurity, then gaining experience in roles like SOC analyst, security engineer, or machine learning engineer before specializing. Many professionals suggest a step-by-step learning approach: start with programming (especially Python), learn about operating systems and networks, study cybersecurity basics, and then explore machine learning and AI model security. This progression is important because AI security combines both fields.
Sandeep Khandelwal
Software Engineer
147
Answers
San Ramon, California
Updated
Sandeep’s Answer
Hello Choi,
It’s great that you enjoy both AI and security. This is a strong and future-proof combination. AI security experts focus on protecting AI systems from attacks, misuse, and data leaks as AI becomes part of important real-world systems.
To become an AI security expert, focus on building strong programming skills (especially Python), solid fundamentals in AI and machine learning, and core security knowledge like cryptography, secure coding, and network security.
It’s great that you enjoy both AI and security. This is a strong and future-proof combination. AI security experts focus on protecting AI systems from attacks, misuse, and data leaks as AI becomes part of important real-world systems.
To become an AI security expert, focus on building strong programming skills (especially Python), solid fundamentals in AI and machine learning, and core security knowledge like cryptography, secure coding, and network security.
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