Legitimized [FOR608: Enterprise-Class Incident Response & Threat Hunting] Expert – Led Video Course – MASTERYTRAIL

Lesson 1: Introduction to Incident Response & Threat Hunting
1.1 Overview of Incident Response
1.2 Historical Evolution of Threat Hunting
1.3 Key Terminology: IR & Threat Hunting
1.4 Incident Response Lifecycle
1.5 Types of Threats Enterprises Face
1.6 Role of Threat Intelligence
1.7 Impact of Incidents on Business
1.8 Overview of Regulatory Requirements
1.9 Core Skills for Responders
1.10 Building an IR & Hunting Mindset

Lesson 2: The Cyber Kill Chain & Attack Lifecycle
2.1 Introduction to Kill Chain Model
2.2 Reconnaissance Phase
2.3 Weaponization Explained
2.4 Delivery Techniques
2.5 Exploitation Methods
2.6 Installation Tactics
2.7 Command & Control (C2)
2.8 Actions on Objectives
2.9 Mapping Incidents to Kill Chain
2.10 Using Kill Chain in Threat Hunting

Lesson 3: Preparing for Incident Response
3.1 Policy & Procedure Development
3.2 Response Team Structure
3.3 Defining Roles & Responsibilities
3.4 Communication Plans
3.5 Asset Inventory & Prioritization
3.6 Threat Modeling Basics
3.7 Logging & Monitoring Preparation
3.8 Evidence Handling Guidance
3.9 Playbook Development
3.10 Continuous Improvement Cycle

Lesson 4: Threat Intelligence Foundations
4.1 What is Threat Intelligence?
4.2 Types: Strategic, Tactical, Operational, Technical
4.3 Threat Intelligence Feeds
4.4 Indicators of Compromise (IOCs)
4.5 Threat Intelligence Platforms
4.6 Open-Source vs Commercial Intel
4.7 Integrating Intel into IR
4.8 Intel Sharing & Collaboration
4.9 Threat Attribution
4.10 Measuring Intel Effectiveness

Lesson 5: Identification & Detection Strategies
5.1 Detection vs Prevention
5.2 Signature-based Detection
5.3 Anomaly-based Detection
5.4 Behavioral Analytics
5.5 Endpoint Detection & Response (EDR)
5.6 Security Information & Event Management (SIEM)
5.7 Network-based Detection
5.8 Log Analysis Techniques
5.9 False Positives & Negatives
5.10 Alert Triage Process

Lesson 6: Evidence Collection & Preservation
6.1 Evidence Handling Principles
6.2 Chain of Custody
6.3 Data Acquisition Tools
6.4 Capturing Volatile Data
6.5 Disk Imaging Techniques
6.6 Network Packet Captures
6.7 Memory Forensics Basics
6.8 Ensuring Data Integrity
6.9 Documentation Best Practices
6.10 Legal Considerations

Lesson 7: Containment Strategies
7.1 Importance of Containment
7.2 Short-term vs Long-term Containment
7.3 Isolating Systems
7.4 Blocking Malicious Traffic
7.5 Segmentation Techniques
7.6 Malware Quarantine
7.7 Network Access Control
7.8 Cloud Environment Containment
7.9 User Account Containment
7.10 Recovery Planning

Lesson 8: Eradication & Recovery
8.1 Removing the Threat
8.2 Identifying Root Cause
8.3 System Restoration Techniques
8.4 Patch Management
8.5 Reimaging Systems
8.6 Validating System Integrity
8.7 Recovery Time Objectives
8.8 User Communication
8.9 Post-Eradication Monitoring
8.10 Lessons Learned

Lesson 9: Post-Incident Activities
9.1 Incident Reporting
9.2 Root Cause Analysis
9.3 Lessons Learned Meetings
9.4 Updating Playbooks
9.5 Stakeholder Communication
9.6 Regulatory Notifications
9.7 Metrics & KPIs
9.8 Knowledge Base Updates
9.9 Training & Awareness
9.10 Continuous Improvement

Lesson 10: Threat Hunting Methodologies
10.1 What is Threat Hunting?
10.2 Hypothesis-Driven Hunting
10.3 Indicators-Based Hunting
10.4 TTPs (Tactics, Techniques, Procedures)
10.5 MITRE ATT&CK Framework
10.6 Data Sources for Hunting
10.7 Hunt Maturity Model
10.8 Proactive vs Reactive Hunting
10.9 Hunt Team Structure
10.10 Measuring Hunt Success

Lesson 11: Understanding Adversary Tactics
11.1 Adversary Motivations
11.2 Common Attack Vectors
11.3 Social Engineering Techniques
11.4 Credential Theft
11.5 Lateral Movement
11.6 Privilege Escalation
11.7 Persistence Mechanisms
11.8 Exfiltration Methods
11.9 Anti-Forensics
11.10 Adversary Simulation

Lesson 12: Endpoint Detection & Response (EDR)
12.1 Introduction to EDR
12.2 Endpoint Telemetry
12.3 Behavioral Detection
12.4 EDR Tool Comparison
12.5 Alert Management
12.6 Automated Response Capabilities
12.7 Threat Containment with EDR
12.8 Forensic Collection via EDR
12.9 EDR Integration with SIEM
12.10 EDR Deployment Best Practices

Lesson 13: SIEM & Log Management
13.1 SIEM Fundamentals
13.2 Log Collection Strategies
13.3 Data Normalization
13.4 Correlation Rules
13.5 Alerting Setup
13.6 Threat Detection with SIEM
13.7 Log Retention Policies
13.8 SIEM Use Cases
13.9 SIEM Tuning
13.10 Limitations of SIEM

Lesson 14: Network Traffic Analysis
14.1 Network Forensics Overview
14.2 Packet Capture Tools
14.3 Flow Data Analysis
14.4 Protocol Analysis
14.5 Anomaly Detection in Traffic
14.6 Network Segmentation Benefits
14.7 Detecting Lateral Movement
14.8 DNS and HTTP Analysis
14.9 Network Threat Intelligence
14.10 Network Data Retention

Lesson 15: Memory Forensics
15.1 Importance of Memory Analysis
15.2 Memory Acquisition Tools
15.3 Identifying Malicious Processes
15.4 Analyzing Network Connections
15.5 Detecting In-Memory Malware
15.6 Volatility Framework Usage
15.7 Registry Analysis
15.8 Credential Theft in Memory
15.9 Memory Artifact Collection
15.10 Memory Forensics Case Studies

Lesson 16: Malware Analysis Basics
16.1 Introduction to Malware Analysis
16.2 Static vs Dynamic Analysis
16.3 Sandboxing Techniques
16.4 Disassemblers & Debuggers
16.5 Identifying Malware Families
16.6 Extracting Indicators
16.7 Behavioral Analysis
16.8 Automated Malware Analysis
16.9 Reverse Engineering Concepts
16.10 Reporting Findings

Lesson 17: Ransomware Incident Response
17.1 What is Ransomware?
17.2 Initial Infection Vectors
17.3 Recognizing Ransomware Activity
17.4 Containment Strategies
17.5 Ransomware Negotiation
17.6 Backup & Restore Approaches
17.7 Decryption Tools
17.8 Post-Incident Recovery
17.9 Legal and Regulatory Aspects
17.10 Preventing Ransomware

Lesson 18: Cloud Incident Response
18.1 Cloud Threat Landscape
18.2 Cloud Service Models (IaaS, PaaS, SaaS)
18.3 Cloud Logging & Monitoring
18.4 Cloud Forensics Challenges
18.5 Cloud Access Controls
18.6 Incident Containment in Cloud
18.7 Data Loss Prevention (DLP)
18.8 Cloud Provider Coordination
18.9 Cloud IR Playbooks
18.10 Cloud Security Best Practices

Lesson 19: Insider Threats
19.1 Definition & Types
19.2 Motivations for Insider Attacks
19.3 Detection Strategies
19.4 Behavioral Monitoring
19.5 Data Exfiltration Indicators
19.6 Privilege Abuse
19.7 Employee Offboarding Risks
19.8 Insider Threat Playbooks
19.9 Case Studies
19.10 Prevention Techniques

Lesson 20: Phishing & Social Engineering
20.1 What is Phishing?
20.2 Types of Phishing Attacks
20.3 Email Analysis Techniques
20.4 URL & Link Analysis
20.5 Credential Harvesting
20.6 Social Engineering Tactics
20.7 User Awareness Training
20.8 Incident Response to Phishing
20.9 Reporting & Tracking
20.10 Mitigation Strategies

Lesson 21: Web Application Attacks
21.1 Web Application Threats Overview
21.2 OWASP Top 10 Attacks
21.3 SQL Injection Detection
21.4 Cross-Site Scripting (XSS)
21.5 File Inclusion Attacks
21.6 Web Shells
21.7 Log Analysis for Web Apps
21.8 Web Application Firewalls (WAF)
21.9 Incident Response for Web Attacks
21.10 Secure Coding Practices

Lesson 22: Active Directory Security
22.1 AD Architecture Overview
22.2 Common AD Attacks
22.3 Credential Dumping
22.4 Pass-the-Hash Techniques
22.5 Kerberoasting
22.6 Golden/Silver Ticket Attacks
22.7 Detecting AD Compromise
22.8 Hardening Best Practices
22.9 AD Incident Response
22.10 AD Monitoring Tools

Lesson 23: Threat Modeling for IR & Hunting
23.1 What is Threat Modeling?
23.2 STRIDE Methodology
23.3 Attack Trees
23.4 Mapping Threats to Assets
23.5 Identifying Critical Paths
23.6 Prioritizing Threats
23.7 Integrating Modeling into IR
23.8 Threat Modeling Workshops
23.9 Tool Support
23.10 Continuous Threat Assessment

Lesson 24: Incident Response Playbooks
24.1 Playbook Definition
24.2 Playbook Development Steps
24.3 Playbook Templates
24.4 Customizing for Environments
24.5 Automating Playbooks
24.6 Playbook Testing
24.7 Updating Playbooks Post-Incident
24.8 Sharing Playbooks Across Teams
24.9 Playbook Metrics
24.10 Playbook Repositories

Lesson 25: Legal, Regulatory & Compliance Issues
25.1 Overview of Legal Considerations
25.2 GDPR & Data Privacy
25.3 Reporting Obligations
25.4 Working with Law Enforcement
25.5 Evidence Handling for Courts
25.6 Regulatory Frameworks (PCI, HIPAA)
25.7 Cross-Border Data Issues
25.8 Internal Investigations
25.9 Legal Hold Procedures
25.10 Compliance Audits

Lesson 26: Communication During Incidents
26.1 Internal Communication Plans
26.2 External Stakeholder Management
26.3 Executive Reporting
26.4 Media Handling
26.5 Crisis Communication Templates
26.6 Secure Communication Channels
26.7 Information Disclosure Risks
26.8 Communication Drills
26.9 Lessons from Communication Failures
26.10 Communication Tools

Lesson 27: Automation in IR & Hunting
27.1 Role of Automation
27.2 SOAR (Security Orchestration, Automation, and Response)
27.3 Automated Threat Intelligence
27.4 Playbook Automation
27.5 Alert Enrichment
27.6 Automated Forensics Collection
27.7 Reducing Analyst Fatigue
27.8 Automation Pitfalls
27.9 Integrating Automation with Existing Tools
27.10 Measuring Automation ROI

Lesson 28: Metrics, KPIs, and Reporting
28.1 Defining Metrics & KPIs
28.2 Mean Time to Detect (MTTD)
28.3 Mean Time to Respond (MTTR)
28.4 Incident Volume Tracking
28.5 False Positive Rates
28.6 Reporting Dashboards
28.7 Executive Summaries
28.8 Metrics for Threat Hunting
28.9 Using Metrics for Improvement
28.10 Benchmarking Against Peers

Lesson 29: Threat Attribution
29.1 What is Threat Attribution?
29.2 Attribution Challenges
29.3 Attribution Models
29.4 Intelligence Gathering
29.5 Nation-State Threat Actors
29.6 Criminal Groups
29.7 Attribution Tools
29.8 Linking Incidents
29.9 Risks of Misattribution
29.10 Communicating Attribution Findings

Lesson 30: Supply Chain Attacks
30.1 Understanding Supply Chain Risks
30.2 Recent Supply Chain Attacks
30.3 Attack Vectors in Supply Chain
30.4 Third-Party Risk Assessment
30.5 Vendor Security Reviews
30.6 Monitoring Third-Party Activity
30.7 Incident Response for Supply Chain
30.8 Contractual Obligations
30.9 Communication with Vendors
30.10 Improving Supply Chain Security

Lesson 31: Red Teaming & Purple Teaming
31.1 Red Teaming Concepts
31.2 Purple Teaming Collaboration
31.3 Simulating Adversaries
31.4 Assessing Detection Capabilities
31.5 Attack Emulation
31.6 Tabletop Exercises
31.7 Feedback Loops
31.8 Tooling for Red/Purple Teams
31.9 Lessons Learned from Exercises
31.10 Integrating into IR

Lesson 32: Digital Forensics in Incident Response
32.1 Forensics Process Overview
32.2 Imaging & Preservation
32.3 File System Analysis
32.4 Timeline Analysis
32.5 Email Forensics
32.6 Anti-Forensic Techniques
32.7 Mobile Device Forensics
32.8 Cloud Forensics
32.9 Forensic Reporting
32.10 Testifying in Court

Lesson 33: Mobile Device Incident Response
33.1 Mobile Threat Landscape
33.2 Mobile OS Forensics
33.3 Mobile Malware Detection
33.4 Evidence Collection from Devices
33.5 App Analysis
33.6 Mobile Network Forensics
33.7 Mobile Device Management (MDM)
33.8 Data Wipe & Recovery
33.9 Legal Implications
33.10 Mobile IR Playbooks

Lesson 34: IoT & Industrial Incident Response
34.1 IoT Threat Landscape
34.2 ICS/SCADA Security Basics
34.3 Common IoT Attack Vectors
34.4 Evidence Collection from IoT Devices
34.5 Network Segmentation for IoT
34.6 Incident Containment in OT
34.7 Vendor Coordination
34.8 Regulatory Issues in ICS/IoT
34.9 Playbooks for IoT/ICS
34.10 Lessons from Real-World Incidents

Lesson 35: Privileged Access Management
35.1 What Is Privileged Access?
35.2 PAM Solutions Overview
35.3 Credential Vaulting
35.4 Least Privilege Principle
35.5 Monitoring Privileged Accounts
35.6 Detecting Privilege Abuse
35.7 Incident Response for Privileged Accounts
35.8 Session Recording
35.9 Privileged Account Offboarding
35.10 PAM Best Practices

Lesson 36: Advanced Persistent Threats (APTs)
36.1 Defining APTs
36.2 APT Life Cycle
36.3 Common APT Groups
36.4 Tactics and Techniques
36.5 Detecting APT Activity
36.6 Response Strategies
36.7 Threat Intelligence for APTs
36.8 APT Case Studies
36.9 APT Attribution
36.10 Preventing APT Incidents

Lesson 37: Data Exfiltration Detection
37.1 Data Exfiltration Methods
37.2 Common Exfiltration Channels
37.3 Network Detection Techniques
37.4 Endpoint Detection Techniques
37.5 Cloud Exfiltration
37.6 DLP Solutions
37.7 Response to Exfiltration
37.8 Post-Exfiltration Investigation
37.9 Insider vs Outsider Exfil
37.10 Preventive Controls

Lesson 38: Deception Technologies
38.1 Introduction to Deception
38.2 Honeypots & Honeynets
38.3 Decoy Systems
38.4 Detection via Deception
38.5 Integrating Deception in IR
38.6 Measuring Deception Effectiveness
38.7 Limitations of Deception
38.8 Deception Tools
38.9 Case Studies
38.10 Deception Playbooks

Lesson 39: Security Operations Center (SOC) Integration
39.1 SOC Functions
39.2 SOC & IR Collaboration
39.3 Shift Handoffs
39.4 SOC Incident Escalation
39.5 Metrics for SOCs
39.6 Tiered Response
39.7 Playbook Integration
39.8 SOC Automation
39.9 SOC Training
39.10 Continuous Monitoring

Lesson 40: Threat Hunting on Windows
40.1 Windows Event Logs
40.2 PowerShell Attack Detection
40.3 WMI Abuse
40.4 Registry Monitoring
40.5 Scheduled Tasks Analysis
40.6 Lateral Movement on Windows
40.7 Credential Theft
40.8 Windows Artifact Analysis
40.9 Automating Windows Hunts
40.10 Advanced Use Cases

Lesson 41: Threat Hunting on Linux
41.1 Linux Log Files
41.2 Shell History Analysis
41.3 Rootkit Detection
41.4 SSH Abuse
41.5 Sudo Abuse
41.6 File Integrity Monitoring
41.7 Network Connections
41.8 Unusual Process Detection
41.9 Automated Linux Hunts
41.10 Open Source Tools

Lesson 42: Threat Hunting in Cloud Environments
42.1 Cloud Telemetry Sources
42.2 API Logging
42.3 IAM Abuse
42.4 Cloud Storage Monitoring
42.5 Cloud-native Tools
42.6 Cloud Threat Intelligence
42.7 Cross-Account Activity
42.8 Automating Cloud Threat Hunts
42.9 Case Studies
42.10 Cloud Security Posture Management

Lesson 43: Threat Hunting with MITRE ATT&CK
43.1 Overview of MITRE ATT&CK
43.2 Mapping Activities to ATT&CK
43.3 Building Detection Analytics
43.4 ATT&CK Navigator Tool
43.5 Identifying Gaps
43.6 ATT&CK for Threat Hunting
43.7 Red/Blue Team Use Cases
43.8 Reporting with ATT&CK
43.9 Community Resources
43.10 ATT&CK Updates & Evolution

Lesson 44: Threat Hunting with Machine Learning
44.1 Introduction to ML in Security
44.2 Data Preparation
44.3 Feature Engineering
44.4 Supervised vs Unsupervised Approaches
44.5 Anomaly Detection Models
44.6 Model Training & Evaluation
44.7 ML Tooling
44.8 Case Studies
44.9 ML Limitations
44.10 Future Trends

Lesson 45: Digital Risk Protection
45.1 What is Digital Risk?
45.2 External Threat Monitoring
45.3 Dark Web Monitoring
45.4 Brand Protection
45.5 Social Media Monitoring
45.6 Executive Protection
45.7 Data Leakage Detection
45.8 Third-Party Risk
45.9 Threat Intelligence Integration
45.10 Reporting Digital Risks

Lesson 46: Business Continuity & Disaster Recovery
46.1 Definitions & Key Concepts
46.2 BCP vs DRP
46.3 Developing BCP/DRP Plans
46.4 Incident Impact Analysis
46.5 Backup Strategies
46.6 Testing BCP/DRP
46.7 Communication Plans
46.8 Lessons Learned Integration
46.9 Regulatory Requirements
46.10 Maintaining BCP/DRP

Lesson 47: Building a Threat Hunting Program
47.1 Program Foundations
47.2 Organizational Buy-in
47.3 Defining Objectives
47.4 Hunt Team Structure
47.5 Data Collection Strategies
47.6 Metrics for Programs
47.7 Integration with IR
47.8 Training & Development
47.9 Continuous Improvement
47.10 Success Stories

Lesson 48: Case Studies in Enterprise IR
48.1 Notable IR Case Studies
48.2 Key Lessons Learned
48.3 Incident Timelines
48.4 Root Cause Analysis
48.5 Response Effectiveness
48.6 Communication Challenges
48.7 Recovery Strategies
48.8 Legal Outcomes
48.9 Post-Incident Changes
48.10 Building Institutional Memory

Lesson 49: Future Trends in IR & Threat Hunting
49.1 Evolving Threat Landscape
49.2 Use of AI & Automation
49.3 Threat Intelligence Advancements
49.4 Cloud & Hybrid Environments
49.5 Zero Trust Architecture
49.6 Privacy-First Security
49.7 Quantum Computing Impacts
49.8 Emerging Attack Techniques
49.9 Skills of the Future
49.10 Preparing for What?s Next

Lesson 50: Capstone: Building Your IR & Threat Hunting Toolkit
50.1 Review of Key Concepts
50.2 Essential Tools Overview
50.3 Building Custom Playbooks
50.4 Integrating Threat Intelligence
50.5 Automating Response
50.6 Collaboration Best Practices
50.7 Continuous Learning
50.8 Reporting & Documentation
50.9 Presenting to Stakeholders
50.10 Career Pathways in IR & Threat Hunting