AI-Driven Cyber Defense: GenAI, Red Teaming & Modern Threats
Published 11/2025
Duration: 2h 32m | .MP4 1280x720 30fps(r) | AAC, 44100Hz, 2ch | 2.17 GB
Genre: eLearning | Language: English
Mastering Secure GenAI Deployment, Offensive AI Techniques, and Framework-Based Defense for 2026 and Beyond
What you'll learn
- Apply GenAI and GPT tools to automate threat detection and incident response
- Use frameworks like OWASP Top 10, MITRE ATLAS, and NIST AI guidance for secure AI adoption
- Perform AI red teaming, including prompt attacks, model evasion, and agent-based testing
- Secure APIs, LLM integrations, and GenAI applications against modern attack vectors
Requirements
- Basic cybersecurity knowledge and beginner-level familiarity with IT or scripting are recommended, but no advanced AI or ML experience is required.
Description
More lectures will be added to this course soon.
AI-Driven Cyber Defense: GenAI, Red Teaming & Modern Threatsis a comprehensive, hands-on course designed to prepare cybersecurity professionals for the rapidly evolving era of AI-powered attacks and defenses. As organizations adopt GenAI and LLM-based tools at scale, new risks are emerging-from prompt injection and model manipulation to automated offensive agents capable of bypassing traditional security controls. This course bridges the current skills gap by combining foundational knowledge with practical, real-world application.
Across the program, learners will explore how GenAI is reshaping both sides of the cyber battlefield. You will learn to leverage AI for threat detection, incident response, and security automation while also understanding how adversaries weaponize AI to exploit vulnerabilities in models, APIs, and enterprise environments. The course introduces leading frameworks includingMITRE ATLAS,OWASP Top 10 for LLMs, and GenAI risk-management best practices for 2025, ensuring students gain industry-aligned competencies rather than theory alone.
Hands-on labs and guided exercises will take you from basic AI red-teaming techniques to advanced attack simulations using AI agents, allowing you to safely test model behavior, identify weaknesses, and design resilient systems. You will also learn how to secure API-driven GenAI deployments, implement guardrails and monitoring strategies, and evaluate tooling for enterprise-grade protection.
Whether you are part of a SOC team, an ethical hacker, a security architect, or an IT professional transitioning into the AI-security space, this course equips you with the practical skills and strategic insight needed to defend modern environments. By the end, you will be ready to confidently assess, secure, and operationalize GenAI in real-world cybersecurity scenarios-staying ahead of threats instead of reacting to them.
Who this course is for:
- Cybersecurity and IT professionals, students, and red or blue teamers who want to apply AI and GenAI tools in real-world security.
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