Legitimized [SEC541: Cloud Security Threat Detection] Expert – Led Video Course – MASTERYTRAIL

Lesson 1: Introduction to Cloud Security Threat Detection
1.1. Overview of Cloud Security
1.2. Importance of Threat Detection
1.3. Cloud Security Models
1.4. Shared Responsibility Model
1.5. Key Terminologies
1.6. Types of Cloud Threats
1.7. Introduction to Detection Techniques
1.8. Challenges in Detection
1.9. Benefits of Early Detection
1.10. Course Roadmap

Lesson 2: Cloud Computing Fundamentals
2.1. Cloud Service Models (IaaS, PaaS, SaaS)
2.2. Deployment Models (Public, Private, Hybrid)
2.3. Cloud Architecture Components
2.4. Virtualization in Cloud
2.5. Cloud Storage Concepts
2.6. Networking in Cloud
2.7. Cloud APIs
2.8. Cloud Providers Overview
2.9. Cloud Adoption Trends
2.10. Threats Specific to Cloud Environments

Lesson 3: Cloud Threat Landscape
3.1. Evolving Threats in Cloud
3.2. Common Attack Vectors
3.3. Insider Threats
3.4. External Threats
3.5. Advanced Persistent Threats (APT)
3.6. Denial-of-Service (DoS) in Cloud
3.7. Malware in Cloud Environments
3.8. Data Breaches
3.9. Account Hijacking
3.10. Threat Intelligence Sources

Lesson 4: Security Monitoring in Cloud
4.1. Purpose of Security Monitoring
4.2. Monitoring Tools Overview
4.3. Cloud-Native Monitoring Solutions
4.4. Third-Party Monitoring Tools
4.5. Log Management
4.6. Metrics Collection
4.7. Alerts and Notifications
4.8. Monitoring Best Practices
4.9. Challenges in Cloud Monitoring
4.10. Case Studies

Lesson 5: Security Information and Event Management (SIEM)
5.1. Introduction to SIEM
5.2. SIEM Architecture
5.3. Log Collection and Aggregation
5.4. Event Correlation
5.5. Real-Time Analysis
5.6. SIEM in Cloud Environments
5.7. Deploying SIEM Solutions
5.8. SIEM Use Cases
5.9. Limitations of SIEM
5.10. Future of SIEM

Lesson 6: Cloud Provider Security Features
6.1. AWS Security Tools
6.2. Azure Security Tools
6.3. Google Cloud Security Tools
6.4. Identity and Access Management (IAM)
6.5. Encryption Services
6.6. Firewalls and Security Groups
6.7. Monitoring and Logging Services
6.8. Compliance Offerings
6.9. Service Level Agreements (SLAs)
6.10. Configuration and Best Practices

Lesson 7: Log Management in Cloud
7.1. Importance of Log Management
7.2. Types of Logs in Cloud
7.3. Log Collection Methods
7.4. Log Storage Solutions
7.5. Log Retention Policies
7.6. Log Analysis Techniques
7.7. Security Event Logging
7.8. Compliance and Logging
7.9. Challenges in Log Management
7.10. Tools and Automation

Lesson 8: Identity and Access Threat Detection
8.1. IAM Concepts
8.2. Privilege Escalation Risks
8.3. Detecting Unauthorized Access
8.4. Monitoring User Activities
8.5. MFA and Its Role in Detection
8.6. Access Anomalies
8.7. Automated Access Reviews
8.8. Least Privilege Enforcement
8.9. Identity Provider Integration
8.10. Incident Response for IAM Threats

Lesson 9: Network Threat Detection in Cloud
9.1. Cloud Networking Basics
9.2. Network Security Groups (NSGs)
9.3. Intrusion Detection Systems (IDS)
9.4. Intrusion Prevention Systems (IPS)
9.5. Detecting Lateral Movement
9.6. Network Traffic Analysis
9.7. Zero Trust Networks
9.8. Encryption in Transit
9.9. Threat Intelligence Integration
9.10. Network Segmentation

Lesson 10: Data Security Threat Detection
10.1. Data Classification
10.2. Data Loss Prevention (DLP)
10.3. Detecting Data Exfiltration
10.4. Encryption at Rest and in Transit
10.5. Unauthorized Data Access
10.6. Data Integrity Monitoring
10.7. Cloud Storage Security Tools
10.8. Backup and Recovery Threats
10.9. Insider Data Threats
10.10. Automated Data Monitoring

Lesson 11: Endpoint Threat Detection in Cloud
11.1. Cloud Endpoints Overview
11.2. Endpoint Security Agents
11.3. Malware Detection
11.4. Endpoint Behavior Analysis
11.5. Patch Management
11.6. Mobile Device Threats
11.7. Endpoint Isolation
11.8. Automated Remediation
11.9. Endpoint Logging
11.10. Incident Response for Endpoint Threats

Lesson 12: Behavioral Analytics in Cloud Security
12.1. Introduction to Behavioral Analytics
12.2. User Behavior Analytics (UBA)
12.3. Entity Behavior Analytics (EBA)
12.4. Baseline Behavior Creation
12.5. Anomaly Detection
12.6. Machine Learning in Behavior Analytics
12.7. Threat Scoring
12.8. Alerting on Behavior Deviations
12.9. Behavioral Analytics Tools
12.10. Use Cases

Lesson 13: Automation and Orchestration in Threat Detection
13.1. Automation Basics
13.2. Security Orchestration, Automation, and Response (SOAR)
13.3. Automated Threat Hunting
13.4. Automated Incident Response
13.5. Workflow Automation
13.6. Playbooks
13.7. Integration with SIEM/SOAR
13.8. Automated Remediation
13.9. Challenges in Automation
13.10. Future Trends

Lesson 14: Vulnerability Detection in Cloud
14.1. Vulnerability Scanning Tools
14.2. Automated Vulnerability Management
14.3. Patch Management in Cloud
14.4. Container Vulnerabilities
14.5. Serverless Vulnerabilities
14.6. Configuration Drift Detection
14.7. Risk Prioritization
14.8. Vulnerability Reporting
14.9. Integrating Detection with CI/CD
14.10. Continuous Vulnerability Assessment

Lesson 15: Container and Kubernetes Threat Detection
15.1. Container Security Overview
15.2. Threats to Containers
15.3. Kubernetes Security Concepts
15.4. Monitoring Containers
15.5. Container Image Scanning
15.6. Runtime Threat Detection
15.7. Kubernetes Audit Logs
15.8. Network Policies in Kubernetes
15.9. Automated Remediation for Containers
15.10. Tools for Container Threat Detection

Lesson 16: Serverless Threat Detection
16.1. Serverless Architecture Overview
16.2. Security Concerns in Serverless
16.3. Serverless Threat Vectors
16.4. Monitoring Serverless Functions
16.5. Logging in Serverless
16.6. Detecting Function Misuse
16.7. Securing Function Triggers
16.8. Serverless Security Tools
16.9. Incident Response in Serverless
16.10. Best Practices

Lesson 17: Cloud Application Threat Detection
17.1. Cloud Application Models
17.2. Application Layer Threats
17.3. Web Application Firewalls (WAF)
17.4. OWASP Top 10 in Cloud
17.5. Application Logging
17.6. API Threat Detection
17.7. Detecting SQL Injection
17.8. Application DoS Attacks
17.9. Automated Application Monitoring
17.10. Secure Application Development

Lesson 18: Cloud API Threat Detection
18.1. API Security Basics
18.2. API Authentication and Authorization
18.3. API Traffic Monitoring
18.4. Detecting API Abuse
18.5. Rate Limiting Threats
18.6. API Gateway Security
18.7. Logging API Calls
18.8. API Security Tools
18.9. Threat Modeling for APIs
18.10. Automated API Protection

Lesson 19: Threat Intelligence in the Cloud
19.1. Introduction to Threat Intelligence
19.2. Integrating Threat Intelligence Feeds
19.3. Threat Intelligence Platforms
19.4. Indicator of Compromise (IOC)
19.5. Threat Sharing
19.6. Open Source Intelligence (OSINT)
19.7. Threat Intelligence Automation
19.8. Use Cases in Cloud
19.9. Challenges in Cloud Integration
19.10. Future of Threat Intelligence

Lesson 20: Cloud Compliance and Regulatory Threats
20.1. Compliance Requirements Overview
20.2. Major Cloud Compliance Standards
20.3. GDPR, HIPAA, PCI DSS in Cloud
20.4. Auditing Cloud Environments
20.5. Detecting Compliance Violations
20.6. Automated Compliance Monitoring
20.7. Compliance Reporting
20.8. Continuous Compliance
20.9. Regulatory Impact on Detection
20.10. Case Studies

Lesson 21: Cloud Security Frameworks
21.1. NIST Cybersecurity Framework
21.2. ISO/IEC 27017 for Cloud
21.3. CIS Controls for Cloud
21.4. CSA Cloud Controls Matrix
21.5. Mapping Frameworks to Threat Detection
21.6. Implementation Strategies
21.7. Frameworks Comparison
21.8. Compliance vs. Security
21.9. Automated Framework Assessments
21.10. Integration with Detection Tools

Lesson 22: Cloud Penetration Testing and Red Teaming
22.1. Introduction to Cloud Pen Testing
22.2. Red Teaming in Cloud Environments
22.3. Tools for Cloud Pen Testing
22.4. Simulating Threats
22.5. Detection of Penetration Activities
22.6. Reporting Findings
22.7. Remediation Strategies
22.8. Continuous Testing
22.9. Legal and Ethical Aspects
22.10. Purple Team Exercises

Lesson 23: Cloud Security Incident Response
23.1. Incident Response Lifecycle
23.2. Cloud-Specific IR Challenges
23.3. Detection and Triage
23.4. Forensics in Cloud
23.5. Communication and Notification
23.6. Evidence Collection
23.7. Automated Incident Response
23.8. Lessons Learned
23.9. IR Playbooks
23.10. Post-Incident Activities

Lesson 24: Cloud Configuration Threat Detection
24.1. Configuration Management Basics
24.2. Misconfiguration Risks
24.3. Automated Configuration Assessment
24.4. Cloud Security Posture Management (CSPM)
24.5. Continuous Compliance Monitoring
24.6. Detecting Open Storage Buckets
24.7. Infrastructure as Code Security
24.8. Configuration Drift Detection
24.9. Remediation Workflows
24.10. Tools and Best Practices

Lesson 25: Insider Threat Detection in Cloud
25.1. Definition of Insider Threats
25.2. Insider Attack Vectors
25.3. Behavioral Indicators
25.4. Log Analysis for Insider Threats
25.5. Monitoring Privileged Users
25.6. Data Movement Monitoring
25.7. Automated Detection Tools
25.8. Response to Insider Threats
25.9. Insider Threat Training
25.10. Prevention Strategies

Lesson 26: External Threat Detection in Cloud
26.1. External Threat Sources
26.2. Phishing Attacks
26.3. Brute Force Attacks
26.4. Credential Stuffing
26.5. Detecting External Reconnaissance
26.6. Public Exposure Scanning
26.7. Exploitation Detection
26.8. Bot Detection
26.9. Mitigation Strategies
26.10. Case Studies

Lesson 27: Cloud Security Analytics
27.1. Introduction to Security Analytics
27.2. Analytics Platforms
27.3. Big Data in Threat Detection
27.4. Data Collection and Integration
27.5. Data Normalization
27.6. Visualization Techniques
27.7. Alerting and Reporting
27.8. Predictive Analytics
27.9. Analytics Automation
27.10. Challenges

Lesson 28: Multi-Cloud Threat Detection
28.1. Multi-Cloud Architecture
28.2. Security Challenges in Multi-Cloud
28.3. Unified Threat Detection
28.4. Cross-Cloud Monitoring
28.5. Integrating Logs Across Clouds
28.6. Identity Federation Risks
28.7. Data Movement Across Clouds
28.8. Multi-Cloud SIEM
28.9. Multi-Cloud CSPM
28.10. Best Practices

Lesson 29: Hybrid Cloud Threat Detection
29.1. Hybrid Cloud Overview
29.2. Security Risks in Hybrid Cloud
29.3. Threat Detection Challenges
29.4. Integrating On-Prem and Cloud Detection
29.5. Data Flow Security
29.6. Unified Monitoring Tools
29.7. Identity and Access in Hybrid Cloud
29.8. Automated Remediation
29.9. Compliance Considerations
29.10. Case Studies

Lesson 30: Cloud Security Best Practices
30.1. Principle of Least Privilege
30.2. Secure Configuration Management
30.3. Regular Auditing
30.4. Encryption Everywhere
30.5. Multi-Factor Authentication
30.6. Patch and Vulnerability Management
30.7. Incident Response Planning
30.8. Continuous Monitoring
30.9. Training and Awareness
30.10. Documentation and Reporting

Lesson 31: Integration of Detection Tools
31.1. Integrating SIEM and SOAR
31.2. APIs for Security Tools
31.3. Cloud-Native Integration
31.4. Third-Party Tool Integration
31.5. Data Correlation Across Tools
31.6. Automation with Integration
31.7. Monitoring Integration Health
31.8. Security Tool Interoperability
31.9. Use Cases
31.10. Challenges

Lesson 32: Cloud Security Automation
32.1. Benefits of Automation
32.2. Automation Strategies
32.3. Scripting for Security Tasks
32.4. Automated Playbooks
32.5. Automated Remediation
32.6. Policy Enforcement
32.7. Security as Code
32.8. Continuous Security Testing
32.9. Automation Challenges
32.10. Future Directions

Lesson 33: Cloud Threat Modeling
33.1. Introduction to Threat Modeling
33.2. Threat Modeling Frameworks
33.3. STRIDE in Cloud
33.4. DREAD Risk Assessment
33.5. Attack Surface Analysis
33.6. Data Flow Diagrams
33.7. Identifying Cloud Threats
33.8. Mitigation Planning
33.9. Automation in Threat Modeling
33.10. Continuous Threat Modeling

Lesson 34: Machine Learning in Threat Detection
34.1. ML Basics for Security
34.2. Supervised vs. Unsupervised Learning
34.3. Feature Engineering
34.4. Model Training
34.5. Anomaly Detection with ML
34.6. ML in Behavioral Analytics
34.7. Challenges of ML in Cloud
34.8. Model Evaluation
34.9. ML Tools for Security
34.10. Real-World Applications

Lesson 35: Cloud Security Metrics and KPIs
35.1. Security Metrics Overview
35.2. Key Performance Indicators
35.3. Metrics for Threat Detection
35.4. Measuring Detection Effectiveness
35.5. Alert Metrics
35.6. Incident Response Metrics
35.7. Reporting to Management
35.8. Continuous Improvement
35.9. Benchmarking
35.10. Tools for Metrics Collection

Lesson 36: Cloud Security Policies and Governance
36.1. Policy Development
36.2. Governance Frameworks
36.3. Policy Enforcement
36.4. Access Control Policies
36.5. Data Security Policies
36.6. Policy Automation
36.7. Policy Auditing
36.8. Policy Communication
36.9. Policy Review and Updates
36.10. Case Studies

Lesson 37: Cloud Encryption Threat Detection
37.1. Encryption Basics
37.2. Encryption in Cloud Storage
37.3. Encryption Key Management
37.4. Detecting Encryption Failures
37.5. Monitoring Key Access
37.6. Encryption in Transit
37.7. Encryption Compliance
37.8. Automated Encryption Enforcement
37.9. Threats to Encrypted Data
37.10. Tools for Encryption Detection

Lesson 38: Cloud Security Testing Tools
38.1. Overview of Testing Tools
38.2. Vulnerability Scanners
38.3. Penetration Testing Tools
38.4. Cloud Security Assessment Tools
38.5. Compliance Testing
38.6. Automated Testing
38.7. Testing in CI/CD
38.8. Open Source Tools
38.9. Commercial Tools
38.10. Future of Security Testing

Lesson 39: Cloud Forensics and Investigation
39.1. Introduction to Cloud Forensics
39.2. Challenges in Cloud Investigation
39.3. Evidence Collection
39.4. Chain of Custody
39.5. Forensic Tools
39.6. Log Analysis for Forensics
39.7. Data Preservation
39.8. Incident Reconstruction
39.9. Reporting and Documentation
39.10. Legal Considerations

Lesson 40: Cloud Security Posture Management (CSPM)
40.1. Introduction to CSPM
40.2. CSPM Tools Overview
40.3. Risk Assessment
40.4. Policy Enforcement
40.5. Continuous Monitoring
40.6. Misconfiguration Detection
40.7. Automated Remediation
40.8. Reporting and Dashboards
40.9. Integration with Other Tools
40.10. Future Trends

Lesson 41: Cloud Intrusion Detection and Prevention
41.1. IDS/IPS Basics
41.2. Cloud-Native IDS/IPS
41.3. Signature-Based Detection
41.4. Anomaly-Based Detection
41.5. Intrusion Response
41.6. Integrating IDS/IPS with SIEM
41.7. Automated Blocking
41.8. Performance Considerations
41.9. Challenges in Cloud IDS/IPS
41.10. Case Studies

Lesson 42: Cloud Security Case Studies
42.1. Real-World Breaches
42.2. Analysis of Cloud Incidents
42.3. Lessons Learned
42.4. Detection Failures
42.5. Remediation Successes
42.6. Industry Case Studies
42.7. Compliance Incident Stories
42.8. Insider Threat Cases
42.9. Advanced Threat Cases
42.10. Key Takeaways

Lesson 43: Cloud Security Training and Awareness
43.1. Training Programs
43.2. User Awareness
43.3. Phishing Simulation
43.4. Secure Coding Training
43.5. Security Policy Training
43.6. Continuous Learning
43.7. Training Metrics
43.8. Gamification in Training
43.9. Vendor Training
43.10. Culture of Security

Lesson 44: Cloud Threat Detection Lab Setup
44.1. Lab Environment Requirements
44.2. Cloud Lab Setup Steps
44.3. Simulating Cloud Attacks
44.4. Monitoring Tools Setup
44.5. Log Collection in Lab
44.6. SIEM Integration
44.7. Incident Simulation
44.8. Automated Response in Lab
44.9. Testing Detection Rules
44.10. Lab Best Practices

Lesson 45: Cloud Security Architecture for Detection
45.1. Secure Architecture Principles
45.2. Detection-Centric Design
45.3. Segmentation for Detection
45.4. Logging Architecture
45.5. Integration Points
45.6. Scalability Considerations
45.7. High Availability Design
45.8. Automation in Architecture
45.9. Resilience to Threats
45.10. Reference Architectures

Lesson 46: Emerging Threats in Cloud Security
46.1. Ransomware in Cloud
46.2. Supply Chain Attacks
46.3. Zero-Day Threats
46.4. Cryptojacking
46.5. AI-Driven Attacks
46.6. Deepfake Threats
46.7. 5G and IoT Threats
46.8. Quantum Computing Risks
46.9. Emerging Detection Techniques
46.10. Future Outlook

Lesson 47: DevSecOps and Threat Detection
47.1. Introduction to DevSecOps
47.2. Integrating Security in CI/CD
47.3. Automated Security Testing
47.4. Threat Detection in Pipelines
47.5. Shift-Left Security
47.6. Policy as Code
47.7. Continuous Compliance
47.8. DevSecOps Tools
47.9. Metrics for DevSecOps
47.10. Case Studies

Lesson 48: Cloud Security Certifications and Standards
48.1. Major Certifications Overview
48.2. CSA STAR
48.3. ISO/IEC 27017
48.4. CompTIA Cloud+
48.5. AWS/Azure/GCP Security Certifications
48.6. Compliance vs. Certification
48.7. Preparing for Certification
48.8. Certification Benefits
48.9. Maintaining Certifications
48.10. Industry Trends

Lesson 49: Cloud Security Operations Center (SOC)
49.1. SOC Overview
49.2. SOC Roles and Responsibilities
49.3. Cloud SOC vs. Traditional SOC
49.4. Tools for Cloud SOC
49.5. Threat Detection in SOC
49.6. Incident Response in SOC
49.7. Metrics for SOC
49.8. Automation in SOC
49.9. Challenges in Cloud SOC
49.10. Future of SOC

Lesson 50: Future Directions in Cloud Threat Detection
50.1. Advances in AI for Detection
50.2. Autonomous Security Systems
50.3. Predictive Threat Detection
50.4. Cloud-Native Security Innovations
50.5. Integration of IoT and Cloud Security
50.6. Evolving Regulatory Landscape
50.7. Quantum-Safe Security
50.8. Security as a Service
50.9. Addressing Skill Gaps
50.10. Continuous Evolution