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AI-Driven Cyber Defense: GenAI, Red Teaming & Modern Threats
23 students

AI-Driven Cyber Defense: GenAI, Red Teaming & Modern Threats

Mastering Secure GenAI Deployment, Offensive AI Techniques, and Framework-Based Defense for 2026 and Beyond
Created byEduonix Learning Solutions
Last updated 1/2026
English

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

Course content

4 sections • 19 lectures • 3h 38m total length

  • Introduction to AI in Security Operations12:46
  • Building GPT-powered Security Assistants11:35
  • Automating Threat Detection Pipelines13:26

    Automate threat detection pipelines from ingestion to alerts, enriching and correlating data to deliver scalable, actionable insights; includes an automated phishing detection example using artificial intelligence.

  • AI for Digital Forensics & Incident Response11:19

    AI-powered digital forensics and incident response accelerate evidence correlation across logs, memory dumps, and network traces, while AI acts as a co-investigator guided by human judgment.

  • Real-world case studies and labs13:31

Requirements

  • Basic cybersecurity knowledge and beginner-level familiarity with IT or scripting are recommended, but no advanced AI or ML experience is required.

Description

AI-Driven Cyber Defense: GenAI, Red Teaming & Modern Threats is 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, and includes a downloadable ebook in the final lecture for continued learning and reference.

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 including MITRE 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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