AI Security Analyst
The AI Security Analyst skill test is an online assessment in Cybersecurity offered by LevelUp by Cyberyami. It contains 4 sections, is self-paced and taken online, and reports a detailed skill breakdown on completion.
Artificial Intelligence is changing the way organizations build products, automate decisions, and deliver services. But as AI adoption grows, so do the security challenges that come with it. This assessment helps you understand how to secure AI systems by exploring real-world scenarios involving AI threats, model protection, risk management, and incident response. Whether you're a security professional or an AI enthusiast, this test will help you build the skills needed to protect modern AI-driven applications.
Skill TestSkills Required
Operating System
Proficiency in various operating systems, including Windows, Linux, and Unix, including their file systems and permissions
Networking
Understanding of network protocols, configurations, and devices, including routers, switches, firewalls, and VPNs.
Programming
Test your ability to present an idea within a group
Cyber Security
Cyber security is the application of technologies, processes, and controls to protect systems, networks, programs, devices and data from cyber attacks.
Network Security
Network security is any activity designed to protect the usability and integrity of your network and data.
Cybersecurity Best Practices
Knowledge of essential security protocols including password management, multi-factor authentication, software updates, and safe browsing habits to maintain robust security.
Privacy Policy Implementation
Ability to design and enforce data privacy policies that comply with legal regulations like GDPR and CCPA.
Data Loss Prevention (DLP)
Knowledge of technologies and practices to prevent data breaches and unauthorized data transfer or leakage.
Secure Coding Practices
Implementing best practices in writing code to prevent vulnerabilities such as SQL injection, cross-site scripting, and buffer overflows.
Test Structure
- Section 1Security Foundations in the AI Context
Every secure AI system is built on a strong security foundation. Before you can defend AI applications, you need to understand what makes them different from traditional software. This section introduces the core security principles that apply to AI, including protecting models, securing training data, controlling access, and maintaining data privacy. The scenarios are designed to help you understand how these fundamentals shape secure AI development.
NA - Section 2Threat Modeling & AI Vulnerabilities
Unlike traditional applications, AI systems introduce entirely new ways for attackers to compromise security. From manipulating prompts to poisoning training data or extracting sensitive model information, the attack surface is constantly evolving. This section explores these real-world threats and helps you understand how security professionals identify, analyze, and reduce the risks associated with AI-powered applications.
NA - Section 3AI Risk Management from a Security Perspective
Building secure AI solutions isn't just about preventing attacks—it's also about making informed decisions throughout the AI lifecycle. This section focuses on evaluating security risks, protecting sensitive information, meeting compliance requirements, and implementing governance practices that help organizations use AI responsibly and securely.
NA - Section 4Secure Architecture & Incident Response for AI
Even the most advanced AI systems need strong security controls and a clear response plan when something goes wrong. This section explores how secure architectures, continuous monitoring, and incident response work together to protect AI applications from emerging threats. The questions are inspired by real production environments where quick decisions and effective security practices make all the difference.
NA
Useful Resources
No resources foundFrequently asked questions
- What is the AI Security Analyst skill test?
- The AI Security Analyst skill test is an online assessment in Cybersecurity offered by LevelUp by Cyberyami. It contains 4 sections, is self-paced and taken online, and reports a detailed skill breakdown on completion.
- How many sections does the AI Security Analyst skill test have?
- The AI Security Analyst skill test is divided into 4 sections.
- Is the AI Security Analyst skill test proctored?
- No. The AI Security Analyst skill test is self-paced and taken online, so you can start it whenever you are ready. Proctoring applies to LevelUp certification exams rather than skill tests.
- What skills does the AI Security Analyst skill test cover?
- The AI Security Analyst skill test assesses 9 skill areas: Operating System, Networking, Programming, Cyber Security, Network Security, Cybersecurity Best Practices, Privacy Policy Implementation, Data Loss Prevention (DLP).
- Do you get a certificate for the AI Security Analyst skill test?
- The AI Security Analyst skill test reports a detailed breakdown of your performance by skill. Verifiable certificates are issued for LevelUp certification exams.
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