Cybersecurity
AI
Computational Thinking
100

This control makes data converted from its readable form (plaintext) to an unreadable form (ciphertext) 

What is Encryption

100

[True or False] AI does not have biases

False
100

This is the process of formulating a problem and solving it by laying out a detailed, organized, step-by-step solution.  

What is Computational Thinking?

200

This control is known as the principle of least privilege. It involves restricting access to sensitive information to authorized personnel only. 

What is Limit Access to Sensitive data 

200

This is a subset of AI that helps computers learn from data and make decisions without being reprogrammed for the same tasks. 

a.) Machine Learning

b.)Deep Learning

c.)Neural Network

What is Machine Learning?

200

This is the process of breaking information into smaller pieces

What is decomposition? 

300

This kind of hacker motive is to cause harm, steal data, and disrupt services; ultimately for money. 

What is black hat?

300

This is a subset of ML that uses artificial neural networks with multiple hidden layers and mathematical operations to automatically learn complex patterns from data (audio, images, and text )

a.) Machine Learning

b.)Deep Learning

c.)Neural Network

What is Deep Learning?

300

This is the process of analyzing and finding similar patterns  

What is Pattern Recognition? 

400

This is the most common cyber attack that involves targeting people through easy and cheap deployment across emails, texts, and fake websites.

What is phishing?

400

This is considered as " Weak AI"

a.) Artificial Narrow Intelligence 

b.) Artificial General Intelligence

What is Artificial Narrow Intelligence?

400

This is the process of developing a series of clear instructions to solve the problem.

What is an algorithm?

500

These 3 components are considered the fundamentals of cybersecurity, and every cyber attack aims to disrupt one or a combination of these. 

What is the CIA triad?

500

This happens due to language models (e.g., LLMs), which make predictions by looking at patterns and guessing the next word or decision. They could then return incorrect or misleading outputs due to poor data quality, such as incorrectly labeled data or bias.

a.) AI Bias

b.)Decision Tree

c.)AI Prediction

d.)AI Hallucination 

What is AI Hallucination?

500

These are diagrams that represent a process or a set of instructions for how a task is done, how a product is designed, or how software is designed.

What is a flow chart?