Shadow AI: The MOST DANGEROUS Insider Risk of 2025

Hands-on project ideas to practice and apply your learning

AI Security Basics: Automating Threat Detection
Beginner 8h

This project introduces learners to the basics of using AI for threat detection by setting up a simple automated system to identify potential security threats in a simulated environment.

Real-World Context: This project simulates how AI can be used in real-world cybersecurity to automate the detection of potential threats, making security processes more efficient.
Learning Objectives
  • Understand the basics of AI in threat detection
  • Set up a simple automated security system
  • Learn to identify potential security threats
Skills Practiced
Basic programming Threat detection
Deliverables
  • A working threat detection script
  • Documentation of the setup process
  • A report on identified threats in the simulation
Success Criteria
  • Successfully implement a basic threat detection script
  • Correctly document the setup process
  • Accurately report on identified threats
Required Tools & Technologies
Python Jupyter Notebook
Concepts from Resource
AI in cybersecurity Threat detection
Project Type:

Individual

Industry Context:

Cybersecurity

Developing Security Automation Workflows
Intermediate 8h

In this project, participants will design and implement automation workflows for routine security tasks using AI tools, enhancing the efficiency and reliability of security operations.

Real-World Context: Automation of security tasks is crucial in modern cybersecurity practices, reducing manual workload and improving response times to threats.
Learning Objectives
  • Design automation workflows for security tasks
  • Implement AI tools to enhance security operations
  • Evaluate the efficiency of automated workflows
Skills Practiced
Workflow design Security automation
Deliverables
  • Blueprint of designed workflows
  • Implemented automation scripts
  • Evaluation report on workflow efficiency
Success Criteria
  • Successfully design and implement automation workflows
  • Demonstrate improvements in security task efficiency
  • Provide a comprehensive evaluation report
Required Tools & Technologies
Ansible Python
Concepts from Resource
Security automation Machine learning applications
Project Type:

Team

Industry Context:

Cybersecurity

Advanced AI-Powered Security Solutions
Advanced 8h

This advanced project challenges participants to integrate cutting-edge AI technologies into a comprehensive security solution, addressing complex threats and ensuring robust data protection.

Real-World Context: This project reflects the need for advanced AI integration in cybersecurity to tackle evolving threats and ensure data compliance and protection in professional environments.
Learning Objectives
  • Integrate advanced AI technologies into security systems
  • Develop solutions for complex security threats
  • Ensure robust data protection and compliance
Skills Practiced
Advanced AI integration Security solution development
Deliverables
  • Integrated AI-powered security system
  • Solution documentation
  • Compliance and data protection report
Success Criteria
  • Successfully integrate AI technologies into a security system
  • Develop solutions that address complex threats
  • Ensure compliance and robust data protection
Required Tools & Technologies
TensorFlow Docker
Concepts from Resource
AI in cybersecurity Security best practices
Project Type:

Classroom

Industry Context:

Cybersecurity

Projects Overview
Total:
3 projects
Beginner:
1
Intermediate:
1
Advanced:
1
Total Time:
~24 hours
Getting Started
  1. Start with beginner projects if you're new to the topic
  2. Review the resource material before beginning
  3. Set up the required tools and technologies
  4. Follow the learning objectives step by step
  5. Document your progress and learnings
  6. Share your completed projects for feedback
Resource Details
Type:
youtube_video
Difficulty:
intermediate
AI-Generated Content

These project ideas were generated using AI to provide practical, hands-on learning experiences based on the resource content.

Projects are designed to reinforce learning through real-world application and skill development.