Prompt Hacking Resources

Hands-on project ideas to practice and apply your learning

Intro to AI-Powered Security Automation
Beginner 8h

This project introduces beginners to AI-powered security tools by creating a simple automated workflow to detect and alert on suspicious activities in a network. Participants will use basic machine learning models to identify potential threats.

Real-World Context: This project simulates how security teams can use AI to automate routine tasks, increasing efficiency and response time in real-world scenarios.
Learning Objectives
  • Understand the basics of AI in cybersecurity
  • Implement a basic security automation workflow
  • Learn to use AI tools for threat detection
Skills Practiced
Basic programming Security automation
Deliverables
  • A working security automation script
  • Documentation of the workflow process
  • A presentation on findings and improvements
Success Criteria
  • The script reliably identifies and alerts on test threats
  • Clear and concise documentation
  • Presentation demonstrates understanding of concepts
Required Tools & Technologies
Python Jupyter Notebook
Concepts from Resource
AI in cybersecurity Security automation
Project Type:

Individual

Industry Context:

Cybersecurity

Developing AI Red Teaming Strategies
Intermediate 8h

Participants will design and implement AI red teaming strategies to test the robustness of AI systems against prompt hacking techniques. This project involves creating scenarios to simulate attacks and assess the system's defenses.

Real-World Context: This project mirrors the professional practice of stress-testing AI systems to identify weaknesses before they can be exploited by malicious actors.
Learning Objectives
  • Learn AI red teaming methodologies
  • Design and implement test scenarios
  • Evaluate AI system vulnerabilities
Skills Practiced
Threat detection AI system evaluation
Deliverables
  • A set of red teaming scenarios
  • A report on system vulnerabilities
  • Recommendations for improving AI defenses
Success Criteria
  • Scenarios effectively test system defenses
  • Comprehensive vulnerability report
  • Actionable recommendations provided
Required Tools & Technologies
Kali Linux AI simulation platforms
Concepts from Resource
AI red teaming Threat detection
Project Type:

Team

Industry Context:

Cybersecurity

Advanced AI Safety and Prompt Injection Defense
Advanced 8h

An advanced project where participants design and implement comprehensive defenses against prompt injection attacks. This involves developing and integrating AI models capable of detecting and mitigating such attacks in real-time.

Real-World Context: This project is essential for professionals tasked with protecting AI systems against sophisticated attacks, ensuring the integrity and reliability of AI applications.
Learning Objectives
  • Master prompt injection defense techniques
  • Integrate AI models for real-time threat mitigation
  • Evaluate effectiveness of defense mechanisms
Skills Practiced
Machine learning applications Security best practices
Deliverables
  • A deployed AI model for threat mitigation
  • Performance metrics of defense system
  • A technical report on defense strategies
Success Criteria
  • AI model accurately detects and mitigates attacks
  • Defense system meets performance benchmarks
  • Technical report demonstrates depth of understanding
Required Tools & Technologies
TensorFlow or PyTorch Security Information and Event Management (SIEM) tools
Concepts from Resource
Prompt injection AI safety
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:
documentation
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.