AI+ Ethical Hacker Practitioner™
AT-220
Formerly known as AI+ Ethical Hacker™Protect Digital Landscapes: Harness AI-Enhanced Technologies 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.
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 40 hours of content
Who Should Enroll?
Cybersecurity Professionals: Those looking to enhance their skills in proactive defense and AI-driven threat detection.
Ethical Hackers: Individuals focused on mastering advanced hacking techniques and staying ahead of emerging cybersecurity threats.
Technology Leaders and Decision Makers: Executives and managers aiming to understand how AI and ethical hacking can secure their organizations.
Aspiring Students: Learners interested in building a career in cybersecurity, gaining foundational knowledge and practical skills in ethical hacking.
Job Roles & Industry Outlook
Ethical Hacker
Identify security weaknesses through authorized penetration testing and help organizations strengthen their cyber defenses.
Penetration Tester
Simulate real-world cyberattacks to uncover vulnerabilities in applications, networks, and systems before attackers do.
Vulnerability Assessment Analyst
Assess systems for security vulnerabilities, prioritize risks, and recommend effective remediation strategies.
Cybersecurity Analyst
Monitor security events, analyze threats, and implement security measures to protect enterprise and AI-driven environments.
Web Application Security Tester
Evaluate web applications for security flaws and ensure they are resilient against common cyber threats and attacks.
Red Team Associate
Conduct adversarial security exercises to test organizational defenses and improve incident detection and response capabilities.
AI Security Testing Associate
Assess AI models and AI-powered applications for security vulnerabilities, adversarial threats, and responsible AI implementation.
Skills You'll Gain
- Ethical hacking and penetrating testing techniques
- Assessing security vulnerabilities and risks
- Using AI-powered tools for cybersecurity analysis and threat detection
- Conducting network, web application, and system security testing
- Applying vulnerability management and remediation strategies
- Understanding threat modeling and attack methodologies
- Performing reconnaissance and security assessments
- Strengthening incident response and cyber defense practices
- Analyzing security findings and generate professional reports
- Implementing responsible and ethical hacking practices
What You'll Learn
- You will learn ethical hacking fundamentals, reconnaissance, scanning, penetration testing, hacking phases, legal compliance, and responsible cybersecurity practices.
- You will learn the role of ethical hacking in cybersecurity, AI applications, penetration testing practices, compliance requirements, and risk management approaches.
- You will explore AI-based threat detection, machine learning frameworks, behavioral analytics, predictive analysis, anomaly detection, and automated vulnerability identification.
- You will learn AI-powered OSINT, network scanning, vulnerability discovery, social engineering detection, and ML-based analysis of open-source intelligence.
- You will learn AI-enhanced vulnerability scanning, penetration testing, threat prioritization, DAST, fuzz testing, risk modeling, and automated security reporting.
- You will explore supervised, unsupervised, and reinforcement learning, NLP for threat intelligence, feature engineering, ensemble learning, and explainable AI.
- You will learn behavioral biometrics, user behavior analytics, network monitoring, endpoint analysis, anomaly detection, and AI-driven threat hunting.
- You will learn AI-powered threat triage, incident classification, predictive analytics, threat intelligence integration, and automated response techniques.
- You will explore AI-based authentication, biometric security, anomaly detection, dynamic access controls, and privacy considerations in IAM.
- You will learn AI system protection, adversarial attack defense, secure model training, data privacy, explainability, monitoring, and AI security architecture.
- You will learn ethical AI practices, privacy protection, fairness, transparency, explainability, AI bias management, and cybersecurity compliance principles.
- You will apply AI cybersecurity concepts through real-world case studies covering threat detection, vulnerability assessment, penetration testing, IAM, and encryption security.
Tools You'll Explore
Acunetix
Wapiti
Nessus
OWASP ZAP
HackerGPT
Cobalt Strike
Shodan
Wazuh
Sumo Logic
YARA Rules
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
Duration
90 minutes
Passing Score
70% (35/50 Correct)
Format
Multiple Choice Questions (MCQ)
Delivery Method
Online via proctored exam platform
- 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%
Choose the Format That Fits Your Schedule
- 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
Instructor-Led (Live Virtual/Classroom)
- 5 days of intensive training with live demos
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- ~40 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
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Get CertifiedFrequently Asked Questions
Learners will gain skills in ethical hacking, penetration testing, vulnerability assessment, threat detection, and cyber defense.
The program covers security testing, reconnaissance, vulnerability management, threat modeling, incident response, and responsible hacking practices.
Learners should have knowledge of programming, networking, cybersecurity, operating systems, ML fundamentals, and web technologies.
Learners gain hands-on experience through projects and case studies focused on ethical hacking and security assessments.
The exam includes 50 questions, requires a 70% passing score, and has a 90-minute online proctored format.
