AI+ Ethical Hacker Practitioner™

AI+ Ethical Hacker Practitioner™

Formerly known as AI+ Ethical Hacker™ <br> <br> Protect Digital Landscapes: Harness AI-Enhanced Technologies

Certificate Code: AT-220

About This Course

The AI+ Ethical Hacker Practitioner™ certification validates knowledge of the intersection of cybersecurity and artificial intelligence, a pivotal juncture in an era of rapid technological progress. Designed for cybersecurity professionals and ethical hacking practitioners, it assesses comprehensive knowledge of AI’s impact on digital offense and defense strategies. Unlike conventional ethical hacking certifications, this certification validates competency in applying AI techniques to enhance cybersecurity approaches. It is intended for professionals seeking to validate expertise in the integration of advanced AI methods with ethical hacking practices in a rapidly evolving digital landscape.

Certificate Overview

Included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

  • Instructor-Led: 5 days (live or virtual)
  • Self-Paced: 40 hours of content

Prerequisites

Programming, networking, cybersecurity, operating systems, ML fundamentals, and web technologies knowledge.

Exam Format

50 questions, 70% passing, 90 minutes, online proctored exam

Course Modules

1

Module 1: Cybersecurity, Ethical Hacking, and AI Foundations

  1. 1.1 Cybersecurity Fundamentals
  2. 1.2 Ethical Hacking Fundamentals
  3. 1.3 Core Security Frameworks
  4. 1.4 AI in Cybersecurity
  5. 1.5 Safe and Responsible AI Usage
2

Module 2: Networking, Linux, Web Technologies, and Reconnaissance Fundamentals

  1. 2.1 Networking Fundamentals
  2. 2.2 Linux Fundamentals for Ethical Hacking
  3. 2.3 Web Application Fundamentals
  4. 2.4 Reconnaissance Fundamentals
  5. 2.5 AI-Assisted Reconnaissance
3

Module 3: AI-Enhanced Reconnaissance, Enumeration, and Attack Surface Mapping

  1. 3.1 Reconnaissance Methodology
  2. 3.2 Enumeration Fundamentals
  3. 3.3 Cloud Reconnaissance
  4. 3.4 API Reconnaissance
  5. 3.5 AI for Attack Surface Mapping
4

Module 4: Vulnerability Assessment and Risk Prioritization

  1. 4.1 Vulnerability Assessment Basics
  2. 4.2 Vulnerability Scanning
  3. 4.3 Vulnerability Validation
  4. 4.4 AI-Assisted Vulnerability Analysis
  5. 4.5 Remediation Planning
5

Module 5: AI-Assisted Penetration Testing: Web, API, Password, Cloud, and AI Application Security

  1. 5.1 Penetration Testing Lifecycle
  2. 5.2 Web Application Security
  3. 5.3 API Security Testing Fundamentals
  4. 5.4 Password Security
  5. 5.5 Cloud and Container Pentesting Concepts
  6. 5.6 AI in Penetration Testing
6

Module 6: LLM, RAG, and AI Application Security

  1. 6.1 LLM Application Architecture
  2. 6.2 OWASP LLM Top 10
  3. 6.3 Prompt Injection Fundamentals
  4. 6.4 RAG Security (Retrieval-Augmented Generation)
  5. 6.5 AI Agent Security
  6. 6.6 Defensive Controls
7

Module 7: Machine Learning for Cybersecurity and Adversarial AI

  1. 7.1 Machine Learning Fundamentals
  2. 7.2 Supervised Learning for Security
  3. 7.3 Unsupervised Learning for Security
  4. 7.4 Natural Language Processing (NLP) for Cybersecurity
  5. 7.5 Adversarial Machine Learning
  6. 7.6 Explainable AI (XAI)
8

Module 8: Threat Hunting, Detection Engineering, and AI-Driven SOC Operations

  1. 8.1 Security Operations Center (SOC)
  2. 8.2 Threat Hunting Fundamentals
  3. 8.3 Detection Engineering
  4. 8.4 AI in the Security Operations Center (SOC)
  5. 8.5 Threat Intelligence
9

Module 9: Incident Response, Digital Forensics, and AI-Assisted Investigations

  1. 9.1 Incident Response Lifecycle
  2. 9.2 Incident Classification
  3. 9.3 Evidence Handling
  4. 9.4 Digital Forensics Basics
  5. 9.5 AI-Assisted Incident Response
  6. 9.6 AI-Specific Incident Response
10

Module 10: Identity Security, Zero Trust, Cloud Security, and Non-Human Identity

  1. 10.1 Identity and Access Management (IAM) Basics
  2. 10.2 Zero Trust Fundamentals
  3. 10.3 Privileged Access Management (PAM)
  4. 10.4 Non-Human Identity Security
  5. 10.5 Cloud Security Fundamentals
  6. 10.6 AI Agent Identity Controls
11

Module 11: AI Governance, Compliance, Risk Management, and Responsible Disclosure

  1. 11.1 AI Governance Fundamentals
  2. 11.2 NIST AI RMF and Generative AI Profile
  3. 11.3 Privacy and Compliance
  4. 11.4 AI Ethics
  5. 11.5 Responsible Disclosure
  6. 11.6 AI Security Reporting
12

Module 12: Capstone Project - End-to-End AI-Assisted Ethical Hacking and Defense Engagement

  1. 12.1 Scoping and Rules of Engagement
  2. 12.2 Reconnaissance and OSINT
  3. 12.3 Vulnerability Assessment
  4. 12.4 AI-Assisted Penetration Testing
  5. 12.5 LLM and AI Application Security Testing
  6. 12.6 Detection Engineering and Threat Hunting
  7. 12.7 Incident Response
  8. 12.8 Governance and Reporting
13

Optional Module: AI Agents for Ethical Hacking

  1. 1.1 What Are AI Agents?
  2. 1.2 Applications and Trends of AI Agents
  3. 1.3 The Importance of AI Agents in Ethical Hacking
  4. 1.4 How Does an AI Agent Work?
  5. 1.5 Characteristics of AI Agents in Ethical Hacking
  6. 1.6 Types of AI Agents

AI Tools You'll Learn

Acunetix

Acunetix

Wapiti

Wapiti

Nessus

Nessus

OWASP ZAP

OWASP ZAP

HackerGPT

HackerGPT

Cobalt Strike

Cobalt Strike

Shodan

Shodan

Wazuh

Wazuh

Sumo Logic

Sumo Logic

YARA Rules

YARA Rules