Legitimized [SEC699: Advanced Purple Teaming – Adversary Emulation & Detection Engineering] Expert – Led Video Course – MASTERYTRAIL

1. Introduction to Purple Teaming
1.1. Definition and objectives
1.2. Red vs. Blue vs. Purple: Key differences
1.3. Evolution of cyber defense strategies
1.4. Purple team frameworks
1.5. Benefits of purple team engagements
1.6. Core competencies and roles
1.7. Communication and collaboration best practices
1.8. Metrics for success
1.9. Common challenges
1.10. Overview of course structure

2. Adversary Emulation Basics
2.1. What is adversary emulation?
2.2. Emulation vs. simulation
2.3. Understanding attack frameworks (e.g., MITRE ATT&CK)
2.4. Selecting threat actors
2.5. Planning engagements
2.6. Goals and scope
2.7. Tools and technologies
2.8. Documentation requirements
2.9. Legal and ethical considerations
2.10. Debriefing and reporting

3. Detection Engineering Fundamentals
3.1. Definition and importance
3.2. Types of detection
3.3. Security telemetry sources
3.4. Detection lifecycle
3.5. Prioritizing detection development
3.6. False positives vs. false negatives
3.7. Tuning and optimization
3.8. Automation in detection
3.9. Testing and validation
3.10. Documentation and playbooks

4. MITRE ATT&CK Framework Deep Dive
4.1. History and evolution
4.2. Tactics, techniques, and procedures (TTPs)
4.3. Navigating the ATT&CK matrix
4.4. Mapping threats to ATT&CK
4.5. Use cases in purple teaming
4.6. Integrating ATT&CK into workflows
4.7. ATT&CK Navigator
4.8. Limitations and gaps
4.9. Updates and community contributions
4.10. ATT&CK for Cloud and Enterprise

5. Threat Intelligence Integration
5.1. Types of threat intelligence
5.2. Sources of intelligence
5.3. Consuming and operationalizing intelligence
5.4. Intelligence-driven emulation
5.5. Automating threat intelligence ingestion
5.6. Contextualization and enrichment
5.7. Intelligence sharing platforms
5.8. Overcoming intelligence fatigue
5.9. Threat intelligence in detection engineering
5.10. Case studies

6. Adversary Emulation Planning
6.1. Defining emulation objectives
6.2. Scoping and rules of engagement
6.3. Selecting threat actors and scenarios
6.4. Mapping TTPs
6.5. Tool selection
6.6. Timeline and milestones
6.7. Stakeholder identification
6.8. Communication plans
6.9. Escalation procedures
6.10. Pre-engagement checklist

7. Building a Purple Team Lab
7.1. Lab requirements
7.2. Network segmentation
7.3. Physical vs. virtual labs
7.4. Lab automation (e.g., Terraform, Ansible)
7.5. Data sources and logging
7.6. Simulating endpoints and servers
7.7. Monitoring and EDR integration
7.8. Lab reset and cleanup
7.9. Security considerations
7.10. Documentation and reproducibility

8. Windows Attack Surface Overview
8.1. Common entry points
8.2. Credential access in Windows
8.3. Privilege escalation techniques
8.4. Lateral movement methods
8.5. Persistence mechanisms
8.6. Windows logging basics
8.7. Defense evasion strategies
8.8. Artifacts and forensics
8.9. Common Windows tools for emulation
8.10. Hardening recommendations

9. Linux Attack Surface Overview
9.1. Common entry points
9.2. Credential access in Linux
9.3. Privilege escalation techniques
9.4. Lateral movement methods
9.5. Persistence mechanisms
9.6. Linux logging basics
9.7. Defense evasion strategies
9.8. Artifacts and forensics
9.9. Common Linux tools for emulation
9.10. Hardening recommendations

10. Initial Access Techniques
10.1. Phishing and spear phishing
10.2. Exploit of public-facing applications
10.3. Supply chain compromise
10.4. Drive-by compromise
10.5. Valid accounts usage
10.6. Hardware additions
10.7. Trusted relationships abuse
10.8. User execution
10.9. Removable media
10.10. Detection and prevention strategies

11. Execution Techniques
11.1. Command and scripting interpreters
11.2. Native OS binaries (LOLBAS/LOLBINs)
11.3. Scheduled tasks
11.4. Service execution
11.5. Exploitation for execution
11.6. User execution
11.7. Inter-process communication
11.8. Malicious payload injection
11.9. Remote execution
11.10. Detection and logging

12. Persistence Techniques
12.1. Registry run keys
12.2. Service installation
12.3. New user accounts
12.4. Scheduled tasks
12.5. Startup folder abuse
12.6. Office macros
12.7. Boot or logon autostart
12.8. Application shimming
12.9. Browser extensions
12.10. Detection strategies

13. Privilege Escalation Techniques
13.1. Exploiting misconfigurations
13.2. Bypassing UAC
13.3. Kernel exploits
13.4. Sudo abuse (Linux)
13.5. Token impersonation
13.6. DLL hijacking
13.7. SUID/SGID exploitation
13.8. Credential theft
13.9. Exploiting scheduled tasks
13.10. Logging and detection

14. Defense Evasion Techniques
14.1. Obfuscated files/scripts
14.2. Indicator removal
14.3. Disabling security tools
14.4. Masquerading
14.5. Code signing abuse
14.6. Fileless malware
14.7. Timestomping
14.8. Rootkits
14.9. Unhooking security DLLs
14.10. Detection methods

15. Credential Access Techniques
15.1. Credential dumping
15.2. Brute force attacks
15.3. Keylogging
15.4. Credential harvesting via phishing
15.5. Password spraying
15.6. Stealing browser credentials
15.7. Kerberos ticket theft
15.8. LLMNR/NBT-NS poisoning
15.9. Cloud credential theft
15.10. Defense strategies

16. Discovery Techniques
16.1. Network scanning
16.2. Service enumeration
16.3. User and group discovery
16.4. System information gathering
16.5. File and directory discovery
16.6. Security software discovery
16.7. Remote system discovery
16.8. Application discovery
16.9. Cloud environment discovery
16.10. Detection and response

17. Lateral Movement Techniques
17.1. Remote desktop protocols
17.2. Pass-the-Hash
17.3. Pass-the-Ticket
17.4. Windows Admin Shares
17.5. SSH hijacking
17.6. Remote services abuse
17.7. Exploiting trust relationships
17.8. Cloud lateral movement
17.9. Remote scheduled tasks
17.10. Detection strategies

18. Collection Techniques
18.1. Data from local system
18.2. Clipboard data collection
18.3. Screen capture
18.4. Audio capture
18.5. Video capture
18.6. Email collection
18.7. Input capture (keylogging)
18.8. Browser data collection
18.9. Data staging
18.10. Detection and prevention

19. Command and Control (C2) Techniques
19.1. C2 channel types
19.2. Beaconing patterns
19.3. Domain fronting
19.4. Encrypted channels
19.5. Custom protocols
19.6. C2 infrastructure setup
19.7. Detection via network traffic
19.8. DNS tunneling
19.9. C2 over social networks
19.10. C2 takedown strategies

20. Exfiltration Techniques
20.1. Data compression
20.2. Protocols for exfiltration
20.3. Steganography
20.4. Exfil over C2 channel
20.5. Cloud storage abuse
20.6. Email exfiltration
20.7. Removable media exfiltration
20.8. Data fragmentation
20.9. Detection and alerting
20.10. Prevention strategies

21. Impact Techniques
21.1. Data encryption (ransomware)
21.2. Data destruction
21.3. Account manipulation
21.4. Defacement
21.5. Service stop
21.6. Resource hijacking
21.7. Network denial of service
21.8. Disk wiping
21.9. Impact detection
21.10. Recovery and response

22. Emulation Tools Overview
22.1. Atomic Red Team
22.2. Caldera
22.3. Red Canary?s toolset
22.4. MITRE ATT&CK Evaluations
22.5. Infection Monkey
22.6. Cobalt Strike
22.7. Metasploit
22.8. PoshC2
22.9. PurpleSharp
22.10. Automation in emulation

23. EDR and SIEM Integration
23.1. EDR vs. SIEM: Differences
23.2. Popular EDR products
23.3. SIEM configuration basics
23.4. Data sources and ingestion
23.5. Alerting rules
23.6. Correlation logic
23.7. Threat hunting with EDR/SIEM
23.8. Integration challenges
23.9. Custom use cases
23.10. Performance monitoring

24. Building Detection Rules
24.1. Understanding detection logic
24.2. Sigma rules
24.3. YARA rules
24.4. KQL and Splunk SPL
24.5. Rule testing and validation
24.6. Tuning for environment
24.7. Rule versioning and management
24.8. Open-source detection repositories
24.9. False positive reduction
24.10. Continuous improvement

25. Detection Validation Techniques
25.1. What is detection validation?
25.2. Automated vs. manual validation
25.3. Using emulation tools
25.4. Purple team exercises
25.5. Gap analysis
25.6. Metrics and KPIs
25.7. Reporting and communication
25.8. Remediation workflows
25.9. Continuous validation cycles
25.10. Lessons learned

26. Threat Hunting Fundamentals
26.1. What is threat hunting?
26.2. Hypothesis-driven hunting
26.3. Data sources for hunting
26.4. Hunting tools and platforms
26.5. Hunting methodologies
26.6. Behavioral vs. IOC-based hunting
26.7. Threat hunting maturity models
26.8. Documentation and sharing
26.9. Collaboration with blue teams
26.10. Measuring effectiveness

27. Incident Response Integration
27.1. IR process overview
27.2. Purple team?s role in IR
27.3. Playbook development
27.4. Incident detection
27.5. Triage and scope
27.6. Containment strategies
27.7. Eradication and recovery
27.8. Post-incident review
27.9. Lessons learned
27.10. Improvement cycles

28. Automation in Purple Teaming
28.1. Use cases for automation
28.2. Scripting languages
28.3. Orchestration platforms
28.4. Automated detection testing
28.5. Continuous integration pipelines
28.6. Automated reporting
28.7. Integration with ticketing
28.8. Automation pitfalls
28.9. Scaling automation
28.10. Future trends

29. Advanced Emulation Scenarios
29.1. Multi-stage attacks
29.2. Supply chain emulation
29.3. Insider threats
29.4. Advanced persistent threats (APTs)
29.5. Custom malware deployment
29.6. Complex C2 infrastructure
29.7. Cross-platform attacks
29.8. Targeting cloud environments
29.9. Real-time defender engagement
29.10. Lessons learned

30. Purple Team Metrics & Reporting
30.1. Defining key metrics
30.2. Data collection methods
30.3. Visualizing results
30.4. Executive summaries
30.5. Technical reporting
30.6. Lessons learned documentation
30.7. Tracking improvements
30.8. Communication cadence
30.9. Automation in reporting
30.10. Continuous improvement

31. Adversary Emulation in Cloud Environments
31.1. Cloud attack surface
31.2. Cloud-specific TTPs
31.3. Emulation tools for cloud
31.4. Identity attacks in cloud
31.5. Storage and data exfiltration
31.6. Lateral movement in cloud
31.7. Cloud monitoring
31.8. Cloud detection engineering
31.9. Case studies
31.10. Best practices

32. Active Directory Attack & Defense
32.1. AD basics and architecture
32.2. Common attack vectors
32.3. Kerberoasting
32.4. Pass-the-Hash in AD
32.5. AD persistence techniques
32.6. AD enumeration tools
32.7. Defending AD environments
32.8. Detection engineering for AD
32.9. Lab exercises
32.10. Remediation strategies

33. Phishing Emulation & Detection
33.1. Types of phishing attacks
33.2. Phishing simulation tools
33.3. Payload delivery mechanisms
33.4. Credential harvesting detection
33.5. User awareness training
33.6. Email gateway defenses
33.7. Phishing in cloud environments
33.8. Reporting and metrics
33.9. Lessons learned
33.10. Remediation workflows

34. Ransomware Emulation & Defense
34.1. Ransomware TTPs
34.2. Ransomware emulation tools
34.3. Initial access and execution
34.4. Lateral movement
34.5. Data encryption simulation
34.6. Detection engineering for ransomware
34.7. Response playbooks
34.8. Recovery strategies
34.9. Case studies
34.10. Lessons learned

35. Supply Chain Attack Emulation
35.1. What is a supply chain attack?
35.2. Recent case studies
35.3. Emulation scenarios
35.4. Tooling for supply chain emulation
35.5. Detection strategies
35.6. Vendor risk management
35.7. Network segmentation
35.8. Response planning
35.9. Communication procedures
35.10. Continuous monitoring

36. Insider Threat Emulation
36.1. Definition and motivations
36.2. Types of insider threats
36.3. Emulation scenarios
36.4. Detection strategies
36.5. Behavioral analytics
36.6. Data loss prevention
36.7. Monitoring privileged access
36.8. Training and awareness
36.9. Case studies
36.10. Remediation

37. Web Application Attack Emulation
37.1. Common web attacks
37.2. OWASP Top 10
37.3. Emulation tools for web apps
37.4. Credential stuffing
37.5. Session hijacking
37.6. Detection engineering
37.7. Web application firewalls
37.8. Logging and monitoring
37.9. Incident response
37.10. Remediation strategies

38. Endpoint Security Testing
38.1. What is endpoint security testing?
38.2. Common endpoint threats
38.3. Endpoint detection tools
38.4. Bypassing endpoint security
38.5. Endpoint forensics
38.6. EDR validation
38.7. Logging and alerting
38.8. Automated endpoint testing
38.9. Reporting findings
38.10. Remediation

39. Network Security Testing
39.1. Network segmentation
39.2. Perimeter defenses
39.3. IDS/IPS testing
39.4. Network traffic analysis
39.5. Protocol emulation
39.6. Detection engineering for networks
39.7. Deception technologies
39.8. Automated network testing
39.9. Reporting
39.10. Remediation

40. Email Security Testing
40.1. Email threat landscape
40.2. Email phishing emulation
40.3. Malicious attachment simulation
40.4. URL sandboxing
40.5. Email gateway testing
40.6. Detection engineering for email
40.7. BEC simulation
40.8. Email logging
40.9. User reporting mechanisms
40.10. Remediation

41. Mobile Device Security Testing
41.1. Mobile threat landscape
41.2. Common mobile attacks
41.3. Emulation tools for mobile
41.4. Mobile malware simulation
41.5. Mobile device management
41.6. Detection strategies
41.7. Logging and monitoring
41.8. Incident response
41.9. User awareness
41.10. Remediation

42. Social Engineering Emulation
42.1. Types of social engineering
42.2. Pretexting scenarios
42.3. Physical security testing
42.4. Phone-based attacks
42.5. Remote social engineering
42.6. Detection strategies
42.7. Training and awareness
42.8. Logging incidents
42.9. Reporting
42.10. Remediation

43. Detection Engineering for Cloud
43.1. Cloud logging basics
43.2. Cloud-native security tools
43.3. Detection rules for cloud
43.4. Incident response in cloud
43.5. Cloud forensics
43.6. Threat intelligence integration
43.7. Automation in cloud detection
43.8. Multi-cloud challenges
43.9. Reporting
43.10. Continuous improvement

44. Continuous Purple Teaming
44.1. What is continuous purple teaming?
44.2. Implementation strategies
44.3. Automation and orchestration
44.4. Continuous validation
44.5. Detection tuning
44.6. Stakeholder engagement
44.7. Reporting cadence
44.8. Measuring success
44.9. Lessons learned
44.10. Future trends

45. Red Team Collaboration
45.1. Role of red team in purple teaming
45.2. Communication best practices
45.3. Planning joint exercises
45.4. Sharing findings
45.5. Collaborative toolsets
45.6. Conflict resolution
45.7. Building trust
45.8. Continuous collaboration
45.9. Lessons learned
45.10. Improving future exercises

46. Blue Team Collaboration
46.1. Role of blue team in purple teaming
46.2. Communication best practices
46.3. Developing detection rules
46.4. Sharing logs and alerts
46.5. Joint investigations
46.6. Feedback loops
46.7. Collaborative tools
46.8. Lessons learned
46.9. Continuous improvement
46.10. Case studies

47. Case Studies: Real-World Purple Team Engagements
47.1. Overview of case studies
47.2. APT emulation in finance
47.3. Ransomware simulation in healthcare
47.4. Insider threat emulation in government
47.5. Supply chain attack simulation
47.6. Cloud attack emulation
47.7. Metrics and results
47.8. Lessons learned
47.9. Stakeholder feedback
47.10. Recommendations

48. Building a Purple Team Program
48.1. Program goals and objectives
48.2. Organizational buy-in
48.3. Team composition
48.4. Training and development
48.5. Tool selection
48.6. Engagement planning
48.7. Metrics and KPIs
48.8. Continuous improvement
48.9. Reporting structure
48.10. Long-term roadmap

49. Career Development in Purple Teaming
49.1. Career paths
49.2. Required skill sets
49.3. Training and certifications
49.4. Building a portfolio
49.5. Networking and communities
49.6. Mentoring opportunities
49.7. Staying current
49.8. Personal branding
49.9. Interview preparation
49.10. Career progression

50. Future Trends in Purple Teaming
50.1. AI and machine learning
50.2. Automation advancements
50.3. Evolving threat landscape
50.4. Cloud and hybrid environments
50.5. Zero Trust
50.6. Supply chain security
50.7. Collaboration tools
50.8. Regulatory changes
50.9. Continuous purple teaming
50.10. Preparing for the future