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AI Security Analyst

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May 10, 2024 4 minute read

AI Security Analysts are responsible for protecting computer systems and networks from unauthorized access, use, disclosure, disruption, modification, or destruction. They use their knowledge of AI to detect and respond to threats, and to develop and implement security measures. AI Security Analysts work in a variety of settings, including government, healthcare, and finance.

AI Security Analyst: A Growing Field

The demand for AI Security Analysts is growing rapidly as businesses and governments increasingly rely on AI-powered systems. According to the U.S. Bureau of Labor Statistics, the number of AI Security Analyst jobs is projected to grow by 31% from 2020 to 2030. This growth is expected to be driven by the increasing adoption of AI-powered systems, the growing number of cyber threats, and the increasing regulation of AI.

Skills and Knowledge Required

To be successful as an AI Security Analyst, you will need a strong understanding of:

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Salaries for AI Security Analyst

City
Median
New York
$104,000
San Francisco
$193,000
Seattle
$170,000
See all salaries
City
Median
New York
$104,000
San Francisco
$193,000
Seattle
$170,000
Austin
$149,000
London
£61,000
Paris
€63,000
Berlin
€92,000
Tel Aviv
₪878,000
Singapore
S$128,000
Beijing
¥165,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to AI Security Analyst

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We've curated one courses to help you on your path to AI Security Analyst. Use these to develop your skills, build background knowledge, and put what you learn to practice.
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Reading list

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Provides a comprehensive guide to AI and ML security, covering topics such as adversarial attacks, data poisoning, and model tampering. It is suitable for both technical and non-technical readers.
Provides a practical guide to AI security, covering topics such as threat modeling, risk assessment, and defense mechanisms.
Provides a balanced and comprehensive overview of the ethical considerations surrounding AI and ML, including topics such as bias, fairness, and transparency. It is suitable for both technical and non-technical readers.
Provides a comprehensive guide to cloud computing security, covering topics such as cloud architecture, security controls, and compliance. It is suitable for both technical and non-technical readers.
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