This advanced course is designed for cybersecurity professionals who want to integrate AI into offensive security workflows. From automating recon with language models to generating phishing payloads and exploring adversarial examples, you’ll learn how red teams are leveraging AI for high-impact assessments.
Real-world labs, attack simulations, and code-driven exercises will help you apply AI models like GPT, LLaMA, and Claude to bypass security measures, craft dynamic social engineering lures, and explore novel attack surfaces in modern environments.
🏅 CERTIFICATION
Graduates will receive the CAIR – Certified AI Red Teamer certification, demonstrating deep knowledge of adversarial AI techniques, red team automation, and emerging AI-powered offensive capabilities.
Optional assessments include scenario-based challenges and red team reports that integrate AI-assisted tactics.
🎯 LEARNING OUTCOMES
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Master LLM-based recon and dynamic intelligence gathering
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Generate and customize phishing payloads with generative models
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Simulate malware creation using AI and study obfuscation strategies
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Build AI agents for offensive automation (e.g., AI+Python pentesting flows)
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Explore prompt injection, jailbreaking, and LLM evasion techniques
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Craft adversarial examples to bypass ML-based security models
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Understand the threat landscape of AI-enabled attacks
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Develop countermeasures for detecting and responding to AI-driven threats
Chen Shiri is a cyber security researcher, hacker, known for his research on low-level security and isolation mechanisms, working with leading security firms, government organizations and Fortune 500 companies.
His research has revealed significant flaws within widely-used services and prominent vendors. He published research with early examples of weaknesses in microservices, container-based web apps and products.
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