AI+ Ethical Hacker PractitionerTM

Validates AI-enhanced ethical hacking skills that bridge artificial intelligence and cybersecurity for both offense and defense.

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Protect Digital Landscapes: Harness AI-Enhanced Technologies

  • Hands-On Practice:
    Projects and case studies focused on ethical hacking and security assessments
  • AI-Powered Testing:
    Apply AI techniques to penetration testing, vulnerability assessment, and threat detection
  • Expert Support:
    Video lessons, e-book and audio resources, quizzes, and an AI Mentor for personalized guidance
  • Flexible Learning:
    Choose 5-day instructor-led training or about 40 hours of self-paced content
  • Recognized Credential:
    Earn an official exam result and digital badge that validate your expertise

Prerequisites

  • Basic Python, Java, or C++ knowledge for security automation
  • Understanding of protocols, subnetting, firewalls, routing, and network traffic
  • Familiarity with threats, vulnerabilities, encryption, authentication, and access controls
  • Basic knowledge of Windows, Linux, HTTP/HTTPS, and web servers
  • Understanding of basic algorithms, models, and anomaly detection concepts

Why This Certification Matters?

  • Stay Ahead of Technological Advancements: Build capability in how AI is transforming cybersecurity and the evolving threats it creates.
  • Bridge the Gap Between AI and Cybersecurity: Combine AI techniques with ethical hacking to strengthen digital defense strategies.
  • Boost Career Opportunities: A scenario-based exam assesses AI-driven security methods against real-world cyber threats.
  • Future-Proof Your Skills: Position yourself as an expert in AI-powered ethical hacking in a fast-changing digital landscape.

What You'll Learn?

1.1 Cybersecurity Fundamentals
1.2 Ethical Hacking Fundamentals
1.3 Core Security Frameworks
1.4 AI in Cybersecurity
1.5 Safe and Responsible AI Usage

2.1 Networking Fundamentals
2.2 Linux Fundamentals for Ethical Hacking
2.3 Web Application Fundamentals
2.4 Reconnaissance Fundamentals
2.5 AI-Assisted Reconnaissance

3.1 Reconnaissance Methodology
3.2 Enumeration Fundamentals
3.3 Cloud Reconnaissance
3.4 API Reconnaissance
3.5 AI for Attack Surface Mapping

4.1 Vulnerability Assessment Basics
4.2 Vulnerability Scanning
4.3 Vulnerability Validation
4.4 AI-Assisted Vulnerability Analysis
4.5 Remediation Planning

5.1 Penetration Testing Lifecycle
5.2 Web Application Security
5.3 API Security Testing Fundamentals
5.4 Password Security
5.5 Cloud and Container Pentesting Concepts
5.6 AI in Penetration Testing

6.1 LLM Application Architecture
6.2 OWASP LLM Top 10
6.3 Prompt Injection Fundamentals
6.4 RAG Security (Retrieval-Augmented Generation)
6.5 AI Agent Security
6.6 Defensive Controls

7.1 Machine Learning Fundamentals
7.2 Supervised Learning for Security
7.3 Unsupervised Learning for Security
7.4 Natural Language Processing (NLP) for Cybersecurity
7.5 Adversarial Machine Learning
7.6 Explainable AI (XAI)

8.1 Security Operations Center (SOC)
8.2 Threat Hunting Fundamentals
8.3 Detection Engineering
8.4 AI in the Security Operations Center (SOC)
8.5 Threat Intelligence

9.1 Incident Response Lifecycle
9.2 Incident Classification
9.3 Evidence Handling
9.4 Digital Forensics Basics
9.5 AI-Assisted Incident Response
9.6 AI-Specific Incident Response

10.1 Identity and Access Management (IAM) Basics
10.2 Zero Trust Fundamentals
10.3 Privileged Access Management (PAM)
10.4 Non-Human Identity Security
10.5 Cloud Security Fundamentals
10.6 AI Agent Identity Controls

11.1 AI Governance Fundamentals
11.2 NIST AI RMF and Generative AI Profile
11.3 Privacy and Compliance
11.4 AI Ethics
11.5 Responsible Disclosure
11.6 AI Security Reporting

12.1 Scoping and Rules of Engagement
12.2 Reconnaissance and OSINT
12.3 Vulnerability Assessment
12.4 AI-Assisted Penetration Testing
12.5 LLM and AI Application Security Testing
12.6 Detection Engineering and Threat Hunting
12.7 Incident Response
12.8 Governance and Reporting

Job Roles & Industry Outlook

Ethical Hacker

Identify security weaknesses through authorized penetration testing and help strengthen cyber defenses.

Penetration Tester

Simulate real-world cyberattacks to find vulnerabilities in applications, networks, and systems.

Vulnerability Assessment Analyst

Assess systems, prioritize risks, and recommend effective remediation strategies.

Cybersecurity Analyst

Monitor security events, analyze threats, and implement measures to protect AI-driven environments.

Web Application Security Tester

Evaluate web applications for security flaws and resilience against common attacks.

Red Team Associate

Run adversarial exercises to test defenses and improve detection and response.

AI Security Testing Associate

Assess AI models and AI-powered applications for vulnerabilities, adversarial threats, and responsible use.

Skills You’ll Gain

Ethical Hacking and Penetration Testing TechniquesAssessing Security Vulnerabilities and RisksUsing AI-Powered Tools for Cybersecurity Analysis and Threat DetectionConducting Network, Web Application, and System Security TestingApplying Vulnerability Management and Remediation StrategiesUnderstanding Threat Modeling and Attack MethodologiesPerforming Reconnaissance and Security AssessmentsStrengthening Incident Response and Cyber Defense PracticesAnalyzing Security Findings and Generating Professional ReportsImplementing Responsible and Ethical Hacking Practices

Tools You’ll Master

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Exam Details

Duration

90 minutes

Passing Score

70% (35/50)

Format

50 multiple-choice/multiple-response questions

Delivery Method

Online via proctored exam platform (flexible scheduling)

Exam Blueprint

Cybersecurity, Ethical Hacking, and AI Foundations
5%
Networking, Linux, Web Technologies, and Reconnaissance Fundamentals
9%
AI-Enhanced Reconnaissance, Enumeration, and Attack Surface Mapping
9%
Vulnerability Assessment and Risk Prioritization
9%
AI-Assisted Penetration Testing: Web, API, Password, Cloud, and AI Application Security
9%
LLM, RAG, and AI Application Security
9%
Machine Learning for Cybersecurity and Adversarial AI
9%
Threat Hunting, Detection Engineering, and AI-Driven SOC Operations
9%
Incident Response, Digital Forensics, and AI-Assisted Investigations
8%
Identity Security, Zero Trust, Cloud Security, and Non-Human Identity
8%
AI Governance, Compliance, Risk Management, and Responsible Disclosure
8%
Capstone Project - End-to-End AI-Assisted Ethical Hacking and Defense Engagement
8%

What’s Included

(One-Year Subscription + All Updates)

  • High-Quality Videos, E-book (PDF & Audio), and Podcasts 
  • AI Mentor for Personalized Guidance 
  • Quizzes, Assessments, and Course Resources 
  • Online Proctored Exam with One Free Retake 
  • Comprehensive Exam Study Guide 
  • Access for Tablet & Phone