AI+ Ethical Hacker (AITEH)

The AI+ Ethical Hacker certification delves into the intersection of cybersecurity and artificial intelligence, a pivotal juncture in our era of rapid technological progress. Tailored for budding ethical hackers and cybersecurity experts, it offers comprehensive insights into AI's transformative impact on digital offense and defense strategies. Unlike conventional ethical hacking courses, this program harnesses AI's power to enhance cybersecurity approaches. It caters to tech enthusiasts eager to master the fusion of cutting-edge AI methods with ethical hacking practices amidst the swiftly evolving digital landscape. The curriculum encompasses four key areas, from course objectives and prerequisites to anticipated job roles and the latest AI technologies in Ethical Hacking.

Upon successful completion of the AI+ Ethical Hacker certification, individuals validate their capability in harnessing AI methodologies to bolster cybersecurity measures. They acquire comprehensive skills encompassing core ethical hacking concepts, AI-powered reconnaissance, evaluating vulnerabilities, conducting penetration tests, analyzing threats, responding to incidents, and managing identities within cybersecurity frameworks. By showcasing adeptness in ethically employing AI resources, certified individuals actively bolster cybersecurity defenses and promote the ethical integration of AI, thereby reinforcing organizational resilience against ever-changing cyber risks.

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.
  • Machine Learning Basics: Understanding of machine learning concepts, algorithms, and basic implementation.
  • Web Technologies: Understanding of web technologies, including HTTP/HTTPS protocols, and web servers.

Exams

  • Number of Questions: 50
  • Passing Score: 35/50 or 70%
  • Duration: 90 Minutes
  • Format: Online via AI Proctoring platform
  • Question Type: Multiple Choice/Multiple Response

Exam Overview:

  • 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%