How to Be Artificial Intelligence Security Engineer - Job Description, Skills, and Interview Questions

Apr 15, 2020 / 5 Minutes Read / By Albert

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The rise of Artificial Intelligence (AI) has drastically changed the security landscape, forcing security engineers to adapt to new challenges. As AI technology continues to advance, so do the methods of malicious actors who use AI to exploit vulnerabilities and gain access to sensitive data. AI Security Engineers play a vital role in protecting organizations from these threats by developing and deploying advanced systems to detect and neutralize malicious AI-enabled attacks.

By applying their deep knowledge of AI and security, AI Security Engineers are able to analyze the behavior of malicious actors, identify the weaknesses in an organizations security systems, and develop strategies to prevent or mitigate these threats. As AI technology becomes more widespread, the need for AI Security Engineers will become increasingly important, as they will be responsible for ensuring the safety of a companys data and protecting its users.

Steps How to Become

Earn a Bachelor's Degree. To become an Artificial Intelligence (AI) security engineer, you must first earn a bachelor's degree in computer science, engineering, or a related field. Depending on the employer, a degree in mathematics or a related field may also be acceptable.
Gain Relevant Experience. After earning a bachelors degree, most employers require applicants to have at least 1-2 years of experience in a related field. Consider taking courses, internships, or working part-time in the field to gain relevant experience.
Obtain Certification. Obtaining certification in Artificial Intelligence Security is a great way to demonstrate your knowledge and skills to potential employers. Several organizations offer certifications in AI security such as the International Association of Cyber Security Professionals and the Association of Information Security Professionals.
Stay Up-to-Date on Developments. AI security is an ever-evolving field, and staying up-to-date on the latest developments is essential. Consider attending conferences, reading industry publications, and networking with other AI security professionals to stay abreast of the latest trends and technologies.
Pursue Further Education. Consider pursuing a masters degree in computer engineering or a related field to increase your knowledge and skills in the field of AI security. This can provide you with an edge over other job applicants and help you stand out in the job market.

With the ever-growing complexity of Artificial Intelligence (AI) Security solutions, it is important for engineers to stay up-to-date and competent in this field. Keeping informed about the latest developments in AI technology, industry trends, and security best practices is essential for engineers to stay ahead of potential threats and vulnerabilities. Additionally, investing in ongoing training and certifications can ensure that engineers remain knowledgeable and confident in their ability to identify, monitor, and protect against potential threats. Finally, regularly engaging with peers and other professionals in the AI security space can provide valuable insights and resources to help engineers stay on the cutting edge of this rapidly evolving field.

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Job Description

Design and develop security protocols to protect AI systems from malicious actors.
Monitor AI systems and networks to detect potential security threats.
Develop tools and processes to analyze security threats and vulnerabilities.
Create and implement strategies to protect AI systems from cyber-attacks.
Research emerging technologies in AI security and evaluate their effectiveness.
Develop secure coding standards and best practices for AI-related projects.
Audit existing AI systems for security risks and compliance.
Provide technical guidance to developers on secure coding practices.
Work with stakeholders to ensure secure deployment of AI systems.
Maintain an up-to-date understanding of AI security principles and practices.

Skills and Competencies to Have

Knowledge of computer security principles
Expertise in designing, developing and deploying secure AI systems
Expertise in AI algorithms and applications
Proficiency in programming languages such as Python, Java, and C++
Understanding of machine learning frameworks and libraries such as TensorFlow, PyTorch and Scikit-learn
Knowledge of cryptography and encryption
Understanding of cloud security principles and architectures
Ability to develop security protocols and policies
Experience with ethical hacking techniques
Familiarity with intrusion detection systems and malware analysis
Ability to analyze security logs and identify patterns
Knowledge of applicable industry regulations and standards
Excellent problem solving and analytical skills
Strong communication and interpersonal skills

Artificial Intelligence Security Engineer is a highly sought after professional who utilizes their technical knowledge and experience to protect against cyber threats. As new technologies are increasingly being integrated with Artificial Intelligence (AI), the need for this specialized security engineer is becoming increasingly important. AI security engineers are responsible for assessing the security of AI systems, designing and implementing countermeasures, and monitoring the system for any potential intrusions or vulnerabilities.

In order to be successful in this role, they must have a strong knowledge of AI, data science, machine learning, and computer security. They must also be able to think creatively and identify potential risks before they become an issue. As the use of AI continues to expand, the demand for AI security engineers will continue to rise.

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Frequent Interview Questions

What experience do you have in Artificial Intelligence Security?
How do you stay up-to-date with the latest developments in Artificial Intelligence Security?
How would you design a secure Artificial Intelligence system?
How would you define the concept of AI Safety?
What strategies do you use to prevent AI security breaches?
How do you ensure data privacy when dealing with AI systems?
What challenges have you faced in the past when securing AI systems?
How do you detect and respond to potential threats to an AI system?
What process do you use to assess existing AI security protocols?
How would you go about designing an AI-based security system from scratch?

Common Tools in Industry

AI-Enhanced Firewalls. Firewalls equipped with AI algorithms to detect and block malicious activities. (Eg: FireEye Helix)
AI-Powered Intrusion Detection Systems. AI-driven IDS that uses machine learning to identify potential threats and malicious activity. (Eg: Endgame)
AI-Based Network Forensics. AI-based tools used to analyze large amounts of network data to identify anomalies and security threats. (Eg: CyberX)
AI-Based Malware Analysis. AI-based malware analysis solutions that can quickly detect and classify zero-day malware. (Eg: CylancePROTECT)
AI-Based Vulnerability Management. AI-driven vulnerability management solutions that can help identify and prioritize unpatched vulnerabilities. (Eg: Skybox Security Suite)
AI-Driven Log Management Solutions. AI-driven log management solutions that can detect suspicious activity, identify potential malicious actors, and alert security teams to potential threats. (Eg: Splunk Enterprise Security)

Professional Organizations to Know

Association for Computing Machinery (ACM)
International Association for Cryptologic Research (IACR)
Institute of Electrical and Electronics Engineers (IEEE)
International Foundation for Artificial Intelligence (IFAI)
International Association for Artificial Intelligence and Law (IAAIL)
Association for the Advancement of Artificial Intelligence (AAAI)
International Association for Machine Learning (ICML)
International Symposium on Security and Privacy (S&P)
International Joint Conference on Artificial Intelligence (IJCAI)
International Conference on Machine Learning and Cyber Security (MLCS)

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Common Important Terms

Machine Learning. A subfield of artificial intelligence that uses algorithms to build models and make predictions from data.
Deep Learning. A subset of machine learning that uses deep neural networks to analyze large amounts of data.
Natural Language Processing (NLP). A subfield of artificial intelligence focused on understanding and generating natural language.
Computer Vision. A subfield of artificial intelligence focused on teaching computers how to recognize and interpret images and videos.
Cyber Security. The practice of protecting networks, systems, and programs from digital attacks.
Data Security. The practice of protecting and securing data from unauthorized access or modification.
Identity Management. The practice of managing and verifying the identity of users, devices, and systems on a network or system.
Access Control. The practice of managing who has access to resources and information on a network or system.
Network Security. The practice of protecting networks from malicious attacks and unauthorized access.
Encryption. The practice of encoding data to prevent unauthorized access or modification.

Frequently Asked Questions

What is an Artificial Intelligence Security Engineer?

An Artificial Intelligence Security Engineer is a specialist who designs, builds and implements security measures to protect AI systems from malicious attacks and unauthorized access.

What are the responsibilities of an Artificial Intelligence Security Engineer?

Responsibilities of an Artificial Intelligence Security Engineer include designing secure architectures, writing secure code, analyzing security threats and vulnerabilities, implementing security protocols and monitoring system performance.

What qualifications are needed to become an Artificial Intelligence Security Engineer?

Qualifications needed to become an Artificial Intelligence Security Engineer typically include a degree in Computer Science, Information Technology or a related field, as well as experience with AI technologies and security frameworks.

What are the top skills for an Artificial Intelligence Security Engineer?

The top skills for an Artificial Intelligence Security Engineer include strong problem-solving abilities, knowledge of AI technologies, knowledge of security protocols and frameworks, advanced coding skills, and experience with cryptography and data security.

How much does an Artificial Intelligence Security Engineer make?

An Artificial Intelligence Security Engineer can earn anywhere from $75,000 to $160,000 annually depending on experience and location.

Web Resources

Artificial Intelligence Engineering | Software Engineering Institute www.sei.cmu.edu
How to Become an Artificial Intelligence Engineer [Career Guide] onlinedegrees.sandiego.edu
How to Become an Artificial Intelligence Developer - University of San onlinedegrees.sandiego.edu