AI+ Ethical Hacker Practitioner™ (AIEH) – Details

Detaillierter Kursinhalt

1) Cybersecurity Ethical Hacking and AI Foundations

  • Cybersecurity Fundamentals
  • Ethical Hacking Fundamentals
  • Core Security Frameworks
  • AI in Cybersecurity
  • Safe and Responsible AI Usage

2) Networking Linux Web Technologies and Reconnaissance Fundamentals

  • Networking Fundamentals
  • Linux Fundamentals for Ethical Hacking
  • Web Application Fundamentals
  • Reconnaissance Fundamentals
  • AI-Assisted Reconnaissance

3) AIEnhanced Reconnaissance Enumeration and Attack Surface Mapping

  • Reconnaissance Methodology
  • Enumeration Fundamentals
  • Cloud Reconnaissance
  • API Reconnaissance
  • AI for Attack Surface Mapping

4) Vulnerability Assessment and Risk Prioritization

  • Vulnerability Assessment Basics
  • Vulnerability Scanning
  • Vulnerability Validation
  • AI-Assisted Vulnerability Analysis
  • Remediation Planning

5) AIAssisted Penetration Testing Web API Password Cloud and AI Application Security

  • Penetration Testing Lifecycle
  • Web Application Security
  • API Security Testing Fundamentals
  • Password Security
  • Cloud and Container Pentesting Concepts
  • AI in Penetration Testing

6) LLM RAG and AI Application Security

  • LLM Application Architecture
  • OWASP LLM Top 10
  • Prompt Injection Fundamentals
  • RAG Security (Retrieval-Augmented Generation)
  • AI Agent Security
  • Defensive Controls

7) Machine Learning for Cybersecurity and Adversarial AI

  • Machine Learning Fundamentals
  • Supervised Learning for Security
  • Unsupervised Learning for Security
  • Natural Language Processing (NLP) for Cybersecurity
  • Adversarial Machine Learning
  • Explainable AI (XAI)

8) Threat Hunting Detection Engineering and AIDriven SOC Operations

  • Security Operations Center (SOC)
  • Threat Hunting Fundamentals
  • Detection Engineering
  • AI in the Security Operations Center (SOC)
  • Threat Intelligence

9) Incident Response Digital Forensics and AIAssisted Investigations

  • Incident Response Lifecycle
  • Incident Classification
  • Evidence Handling
  • Digital Forensics Basics
  • AI-Assisted Incident Response
  • AI-Specific Incident Response

10) Identity Security Zero Trust Cloud Security and NonHuman Identity

  • Identity and Access Management (IAM) Basics
  • Zero Trust Fundamentals
  • Privileged Access Management (PAM)
  • Non-Human Identity Security
  • Cloud Security Fundamentals
  • AI Agent Identity Controls

11) AI Governance Compliance Risk Management and Responsible Disclosure

  • AI Governance Fundamentals
  • NIST AI RMF and Generative AI Profile
  • Privacy and Compliance
  • AI Ethics
  • Responsible Disclosure
  • AI Security Reporting

12) Capstone Project EndtoEnd AIAssisted Ethical Hacking and Defense Engagement

  • Scoping and Rules of Engagement
  • Reconnaissance and OSINT
  • Vulnerability Assessment
  • AI-Assisted Penetration Testing
  • LLM and AI Application Security Testing
  • Detection Engineering and Threat Hunting
  • Incident Response
  • Governance and Reporting

13) Optional Module AI Agents for Ethical Hacking

  • What Are AI Agents?
  • Applications and Trends of AI Agents
  • The Importance of AI Agents in Ethical Hacking
  • How Does an AI Agent Work?
  • Characteristics of AI Agents in Ethical Hacking
  • Types of AI Agents