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AI+ Ethical Hacker Practitioner™

# AT-220

Formerly known as AI+ Ethical Hacker™

Safeguard Digital Frontiers: Elevate Cybersecurity with AI Integration

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.

$495.00

High-Quality Video, E-book & Audiobook

Modules Quizzes

AI Mentor

Access for Tablet & Phone

Online Proctored Exam with One Free Retake

Hands-on Practices

Prerequisites

Programming Proficiency: Knowledge of Python, Java, C++, etc. for automation and scripting.
Networking Fundamentals: Understanding of networking protocols, subnetting, firewalls, and routing.
Cybersecurity Basics: Familiarity with fundamental cybersecurity concepts, including encryption, authentication, access controls, and security protocols.
Operating Systems Knowledge: Proficiency in using Windows and Linux operating systems.
ML Basics: Understanding of ML concepts, algorithms, and basic implementation.
Web Technologies: Understanding of web technologies, including HTTP/HTTPS protocols, and web servers.

Exam Details

Exam Blueprint

Modules	Percentage
Foundation of Ethical Hacking Using Artificial Intelligence (AI)	5
Introduction to AI in Ethical Hacking	9
AI Tools and Technologies in Ethical Hacking	9
AI-Driven Reconnaissance Techniques	9
AI in Vulnerability Assessment and Penetration Testing	9
Machine Learning for Threat Analysis	9
Behavioral Analysis and Anomaly Detection for System Hacking	9
AI Enabled Incident Response Systems	9
AI for Identity and Access Management (IAM)	9
Securing AI Systems	9
Ethics in AI and Cybersecurity	9
Capstone Project	5

Self Study Materials Included

Videos

Engaging visual content to enhance understanding and learning experience.

Podcasts

Insightful audio sessions featuring expert discussions and real-world cases.

E-Books

Comprehensive digital guides offering in-depth knowledge and learning support.

Audiobooks

Listen and learn anytime with convenient audio-based knowledge sharing.

Module Wise Quizzes

Interactive assessments to reinforce learning and test conceptual clarity.

Additional Resources

Supplementary references and list of tools to deepen knowledge and practical application.

Hands-on

Practical experience through real-world exercises, case studies, and applied learning.

Tools You'll Master

Acunetix

Wapiti

Nessus

OWASP ZAP

HackerGPT

Cobalt Strike

Shodan

Wazuh

Sumo Logic

YARA Rules

What Will You Learn?

AI-Integrated Cybersecurity Techniques

Learn to implement AI in ethical hacking processes like penetration testing, vulnerability scanning, and incident response.

Threat Analysis and Anomaly Detection

Use machine learning algorithms to identify unusual patterns, predict risks, and mitigate potential cyberattacks.

AI for Identity and Access Management (IAM)

Enhance secure authentication processes by applying AI to dynamically manage user permissions and access protocols.

Automated Security Protocol Optimization

Leverage AI for real-time firewall rule adjustment, data protection, and proactive risk assessment.

Certification Modules

Module 1: Foundation of Ethical Hacking Using AI

You will learn ethical hacking fundamentals, reconnaissance, scanning, penetration testing, hacking phases, legal compliance, and responsible cybersecurity practices.

Module 2: Introduction to AI in Ethical Hacking

You will learn the role of ethical hacking in cybersecurity, AI applications, penetration testing practices, compliance requirements, and risk management approaches.

Module 3: AI Tools and Technologies in Ethical Hacking

You will explore AI-based threat detection, machine learning frameworks, behavioral analytics, predictive analysis, anomaly detection, and automated vulnerability identification.

Module 4: AI-Driven Reconnaissance Techniques

You will learn AI-powered OSINT, network scanning, vulnerability discovery, social engineering detection, and ML-based analysis of open-source intelligence.

Module 5: AI in Vulnerability Assessment and Penetration Testing

You will learn AI-enhanced vulnerability scanning, penetration testing, threat prioritization, DAST, fuzz testing, risk modeling, and automated security reporting.

Module 6: Machine Learning for Threat Analysis

You will explore supervised, unsupervised, and reinforcement learning, NLP for threat intelligence, feature engineering, ensemble learning, and explainable AI.

Module 7: Behavioral Analysis and Anomaly Detection for System Hacking

You will learn behavioral biometrics, user behavior analytics, network monitoring, endpoint analysis, anomaly detection, and AI-driven threat hunting.

Module 8: AI Enabled Incident Response Systems

You will learn AI-powered threat triage, incident classification, predictive analytics, threat intelligence integration, and automated response techniques.

Module 9: AI for Identity and Access Management (IAM)

You will explore AI-based authentication, biometric security, anomaly detection, dynamic access controls, and privacy considerations in IAM.

Module 10: Securing AI Systems

You will learn AI system protection, adversarial attack defense, secure model training, data privacy, explainability, monitoring, and AI security architecture.

Module 11: Ethics in AI and Cybersecurity

You will learn ethical AI practices, privacy protection, fairness, transparency, explainability, AI bias management, and cybersecurity compliance principles.

Module 12: Capstone Project

You will apply AI cybersecurity concepts through real-world case studies covering threat detection, vulnerability assessment, penetration testing, IAM, and encryption security.

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