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Ethical Hacking

Chapters

1Introduction to Ethical Hacking and AI-Driven Threats

2Footprinting and Reconnaissance

3Network Scanning and Evasion Techniques

4Enumeration of Hybrid Environments

5Vulnerability Analysis and DevSecOps Integration

6System Hacking: Access and Privilege Escalation

7System Hacking: Covert Operations and Persistence

8Web Application Hacking and API Security

9Malware Threats and Sandbox Evasion

10Sniffing and Encrypted Traffic Analysis

11Social Engineering and Deepfake Manipulation

12Denial of Service and Botnet Orchestration

13Cloud Infrastructure and Container Security

14IoT and OT (Operational Technology) Hacking

15Threat Modeling, Risk, Incident Response, and Reporting with AI

Threat Modeling Methodologies (STRIDE, PASTA)Attack Trees and Data Flow Diagrams Risk Assessment and Prioritization Frameworks Security Control Selection and Validation Incident Response Lifecycle and Playbooks Digital Forensics Fundamentals Purple Teaming and Continuous Validation Adversary Emulation and MITRE Profiles AI-Assisted Detection Engineering AI Governance, Model Risk, and Bias Security Metrics, KPIs, and KRIs Executive and Technical Reporting Coordinated Vulnerability Disclosure Legal, Compliance, and Policy Alignment Ethical Hacking Career Path and Professionalism

Courses/Ethical Hacking/Threat Modeling, Risk, Incident Response, and Reporting with AI

Threat Modeling, Risk, Incident Response, and Reporting with AI

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Unify governance, modeling, and response with AI-enabled analytics, measurement, and ethical practice.

Content

9 of 15

AI-Assisted Detection Engineering

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