Are you ready to confront the new frontier of cybersecurity threats?

Generative AI is revolutionizing the digital world, but in the wrong hands, it’s a powerful weapon for cybercrime. Deepfakes, voice cloning, AI-powered phishing, and malicious LLM use are no longer science fiction—they are active threats targeting individuals, corporations, and governments every day.

This focused, intensive practice test is designed to challenge your understanding and prepare you for the realities of this evolving landscape. With 100 carefully curated multiple-choice questions, you will dive deep into the mechanics of generative models and their malicious applications.

This is not a theoretical course. This is a battleground simulation for your mind.

Whether you’re a cybersecurity professional, an IT manager, a risk analyst, a student, or simply someone concerned about digital security, this test will assess your ability to identify, understand, and mitigate the risks posed by AI-powered attacks.

What You’ll Test and Assess

Upon completing this practice test, you will be able to:

• Define and differentiate core Generative AI models like GANs, Diffusion, and LLMs.

• Identify the tools and techniques used to create deepfakes and synthetic media.

• Analyze real-world attack vectors, including voice cloning for fraud, AI-powered spear-phishing, and Business Email Compromise (BEC).

• Understand the vulnerabilities of AI systems, such as prompt injection, jailbreaking, and data poisoning.

• Evaluate the societal impact of deepfakes in political misinformation, propaganda, and defamation.

• Recognize the role of AI in cyber-espionage, social engineering, and automated disinformation campaigns.

• Explore current detection methods and countermeasures, including digital forensics and watermarking.

Practice Test Curriculum

This practice test is divided into four comprehensive sections, designed to progressively evaluate your knowledge.

Section 1: The Fundamentals (25 Questions)

• Topics: GANs, Diffusion Models, LLMs, Deepfake Creation Tools, Voice Cloning Basics, Synthetic Identity Generation.

  Difficulty: Easy to Normal

Section 2: The Attack Vectors (35 Questions)

• Topics: Social Engineering with AI, Phishing & Spear-Phishing, Audio Spoofing for Fraud, Political Deepfakes, AI in BEC, Prompt Injection, Jailbreaking, Malicious Code Generation.

  Difficulty: Normal

Section 3: Advanced Threats & Scenarios (25 Questions)

• Topics: Real-time Deepfakes, AI-Powered Propaganda, Adversarial Attacks, Model Inversion, Data Poisoning, AI in Cyber-Espionage, Legal Implications, Forensic Detection.

  Difficulty: Hard

Section 4: Final Comprehensive Review (15 Questions)

• A mixed-bag of scenario-based and complex questions covering all topics to solidify your understanding.

  Difficulty: Mixed (Normal to Hard)

What’s Included

• 100 Unique MCQs with a mix of difficulty levels and scenario-based problems.

• Lifetime access to the practice test and all future updates.

• Quick and supportive Q&A for any clarification you need.

Who this course is for:

• Cybersecurity professionals and IT managers preparing for AI-powered threat landscapes.
• Students and researchers in computer science, cybersecurity, or digital ethics.
• Compliance, risk management, and journalism professionals fighting disinformation.
• Anyone concerned about deepfakes, AI fraud, and wanting to test their knowledge.