Study Guide & Learning Paths
Learning Path 1: Beginner (2-4 weeks)
Week 1: Foundations
- Day 1-2: Read Introduction & Deepfakes Basics
- Day 3-4: Watch detection tool tutorials
- Day 5-7: Complete Deepfakes Quiz 1
Time: 5-7 hours
Outcome: Understand deepfake threats
Week 2: Prompt Injection Basics
- Day 1-2: Read Prompt Injection Understanding
- Day 3-4: Study attack vectors
- Day 5-7: Complete Prompt Injection Quiz 1
Time: 5-7 hours
Outcome: Understand LLM vulnerabilities
Week 3: Prevention Fundamentals
- Day 1-3: Study prevention strategies
- Day 4-5: Review code examples
- Day 6-7: Complete Quiz 3 & 4
Time: 6-8 hours
Outcome: Know basic prevention techniques
Week 4: Real-World Application
- Day 1-3: Study case studies
- Day 4-5: Review emergency templates
- Day 6-7: Complete all quizzes
Time: 6-8 hours
Outcome: Apply knowledge to scenarios
Learning Path 2: Intermediate (4-8 weeks)
Weeks 1-2: Advanced Detection
- Study forensic analysis techniques
- Learn multimodal detection
- Analyze detection tools
- Complete detection quiz
Time: 12-16 hours
Outcome: Implement detection systems
Weeks 3-4: Advanced Prevention
- Study NIST AI RMF
- Learn OWASP LLM Top 10
- Implement code examples
- Design security architecture
Time: 12-16 hours
Outcome: Design secure LLM systems
Weeks 5-6: Incident Response
- Study emergency procedures
- Learn forensic analysis
- Practice response scenarios
- Review case studies
Time: 12-16 hours
Outcome: Handle security incidents
Weeks 7-8: Standards & Compliance
- Study industry standards
- Learn compliance requirements
- Map standards to controls
- Complete certification prep
Time: 12-16 hours
Outcome: Achieve compliance
Learning Path 3: Advanced (8-12 weeks)
Weeks 1-3: Deep Forensics
- Master forensic analysis
- Learn legal admissibility
- Study chain of custody
- Analyze complex cases
Time: 18-24 hours
Outcome: Conduct forensic investigations
Weeks 4-6: Security Architecture
- Design detection systems
- Implement prevention controls
- Build monitoring systems
- Create incident response plans
Time: 18-24 hours
Outcome: Architect security solutions
Weeks 7-9: Research & Innovation
- Study latest 2025-2026 research
- Implement new detection methods
- Contribute to open source
- Publish findings
Time: 18-24 hours
Outcome: Advance the field
Weeks 10-12: Certification & Leadership
- Prepare for certifications
- Lead security initiatives
- Mentor others
- Present at conferences
Time: 18-24 hours
Outcome: Become industry expert
Study Resources by Topic
Deepfakes
Essential Reading:
- Tolosana et al., 2020 - DeepFakes and Beyond (DOI: 10.1016/j.inffus.2020.06.014)
- Sensity AI - State of Deepfakes 2025
- Europol - Deepfake Threat Assessment 2025
Tools to Practice:
- Deepware Scanner
- Microsoft Video Authenticator
- Intel FakeCatcher
Videos:
- Blood flow analysis techniques
- Metadata examination
- Forensic analysis procedures
Prompt Injection
Essential Reading:
- Liu et al., 2023 - Prompt Injection Attack (arXiv:2306.05499)
- OWASP Top 10 for LLM Applications v1.1
- NIST AI Risk Management Framework
Tools to Practice:
- Prompt injection test environments
- LLM security scanners
- Input validation frameworks
Videos:
- Attack demonstrations
- Prevention techniques
- Incident response procedures
Standards & Compliance
Essential Reading:
- NIST AI RMF 1.0
- ISO/IEC 42001:2023
- IEEE 2941-2023
- C2PA v1.3
Certifications:
- NIST AI RMF Practitioner
- ISO 42001 Lead Auditor
- OWASP Certified
2025-2026 Research Highlights
Latest Deepfake Research
Vision Transformers for Detection (2025)
- Advanced neural networks with attention mechanisms
- Pixel-level inconsistency detection
- 95%+ accuracy rates
Biological Signal Analysis (2025)
- Blood flow pattern detection
- Passive liveness detection
- Single-image analysis capability
Europol Predictions (2025)
- 90% of online content may be synthetic by 2026
- Deepfakes shifting from reputational to financial fraud
- Detection spending to grow sharply
Latest Prompt Injection Research
Agents Rule of Two (2025)
- Agents must satisfy no more than 2 of 3 properties
- Robustness research ongoing
- New defense mechanisms emerging
Fortune 500 Incident (March 2025)
- Customer service AI leaked sensitive data
- Prompt injection bypassed traditional controls
- Weeks of undetected data exfiltration
Mathematical Function Attacks (2025)
- Text-based injection using mathematical functions
- New encoding techniques
- Requires updated detection methods
Practice Exercises
Exercise 1: Deepfake Detection
Objective: Identify deepfake in sample video
Steps:
- Download sample video
- Use detection tools
- Analyze metadata
- Document findings
- Write forensic report
Time: 2-3 hours
Difficulty: Beginner
Exercise 2: Prompt Injection Prevention
Objective: Implement input validation
Steps:
- Review vulnerable code
- Identify injection points
- Implement sanitization
- Test with payloads
- Document controls
Time: 3-4 hours
Difficulty: Intermediate
Exercise 3: Incident Response
Objective: Respond to simulated incident
Steps:
- Receive incident alert
- Isolate systems
- Collect evidence
- Analyze attack
- Prepare response
Time: 4-5 hours
Difficulty: Advanced
Exercise 4: Forensic Analysis
Objective: Conduct forensic investigation
Steps:
- Acquire evidence
- Preserve chain of custody
- Analyze artifacts
- Document findings
- Prepare legal report
Time: 6-8 hours
Difficulty: Advanced
Assessment Checkpoints
Beginner Checkpoint
- Complete all beginner quizzes
- Score 80%+ on assessments
- Understand basic threats
- Know prevention basics
Intermediate Checkpoint
- Complete intermediate quizzes
- Score 85%+ on assessments
- Implement detection systems
- Design prevention controls
Advanced Checkpoint
- Complete advanced quizzes
- Score 90%+ on assessments
- Conduct forensic analysis
- Lead security initiatives
Recommended Study Schedule
Daily (30 minutes)
- Review one quiz question
- Read one research paper section
- Practice one code snippet
Weekly (3-4 hours)
- Complete one quiz
- Study one major topic
- Practice one exercise
Monthly (8-10 hours)
- Review all materials
- Complete practice labs
- Prepare for certification
Resources by Format
Text Resources
- Course chapters (26 markdown files)
- Research papers (15+ peer-reviewed)
- Case studies (5 detailed incidents)
- Code examples (20+ snippets)
Video Resources
- Detection tool tutorials
- Attack demonstrations
- Prevention techniques
- Incident response procedures
Interactive Resources
- Knowledge quizzes (6 comprehensive)
- Practice exercises (4 hands-on)
- Code labs (10+ scenarios)
- Simulations (incident response)
Community Resources
- GitHub discussions
- Study groups
- Mentorship program
- Certification prep
Certification Paths
NIST AI RMF Practitioner
Duration: 4-6 weeks
Prerequisites: Intermediate knowledge
Topics: AI governance, risk management, compliance
ISO 42001 Lead Auditor
Duration: 6-8 weeks
Prerequisites: Advanced knowledge
Topics: AI management systems, auditing, compliance
OWASP Certified
Duration: 4-6 weeks
Prerequisites: Intermediate knowledge
Topics: LLM security, vulnerability assessment, testing
Last Updated: December 5, 2025
Research Quality: Enterprise-grade with 2025-2026 sources