Published 3/2026
Created by HACKALYS Academy | 750.000+ Students Enrollments Worldwide
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 163 Lectures ( 13h 0m ) | Size: 9.51 GB
Master AI-driven cyber defense, ethical hacking insights and governance strategies to secure organizations in the AI Era
What you’ll learn
✓ A clear understanding of how AI enhances threat detection, behavioral analytics, and automated incident response in modern SOCs and defensive operations.
✓ Deep insight into how generative AI and agentic systems are used to accelerate reconnaissance, simulate advanced phishing and penetration testing.
✓ Practical knowledge of how AI is transforming risk assessment, compliance mapping, policy generation, continuous auditing, and governance in enterprises.
✓ The ability to speak confidently about AI applications in cybersecurity during job interviews, board presentations, audits, and strategic discussions.
✓ Awareness of current limitations, ethical considerations, bias risks, and responsible adoption frameworks for AI in security workflows.
Requirements
● Basic understanding of cybersecurity fundamentals (e.g., concepts like firewalls, encryption, malware, and common attack types such as phishing or SQL injection)
● Familiarity with core AI and machine learning concepts (e.g., what supervised/unsupervised learning is, basic neural networks, and generative AI like ChatGPT) — no advanced math or coding required, but helpful.
● No prior experience with advanced AI security tools or frameworks is needed — everything is taught step-by-step with practical labs and resources provided.
● A computer or smartphone with internet access.
Description
Disclaimer
This course contains the use of artificial intelligence
In 2026, AI is no longer optional in cybersecurity — it’s the force multiplier that separates top performers from the rest.
Artificial intelligence has become the most powerful force multiplier in cybersecurity. Leading security operations centers (SOCs), red teams (OSCP/CEH), and governance (GRC, CISO) teams are already using AI to dramatically accelerate threat detection, automate incident triage, craft realistic attack simulations, predict high-impact risks, and streamline compliance and auditing processes. If you want to deeply understand how AI is being applied today and will be applied tomorrow across the full spectrum of cybersecurity — without needing to write code or install tools — this comprehensive course is designed for you.
This course delivers a clear, structured, and up-to-date theoretical foundation on using AI in cybersecurity. You will learn exactly how modern security professionals conceptually integrate machine learning, generative AI, large language models (LLMs), and agentic AI systems into defensive operations, ethical offensive testing, and governance/risk/compliance workflows — all explained through detailed real-world 2026 case studies, workflow diagrams, conceptual examples, and strategic insights.
What sets this course apart
• Perfect for professionals who want deep understanding without hands-on labs or programming
• Focused on 2026 reality: agentic AI in SOC automation, GenAI-powered triage, autonomous red teaming, predictive risk analytics, and continuous compliance monitoring
• Divided into three professional pillars that mirror real-world cybersecurity roles
• Defensive Security
• Offensive Security
• Cybersecurity Management (GRC & Audit)
What you will gain from this course
• A clear understanding of how AI enhances threat detection, behavioral analytics, and automated incident response in modern SOCs and defensive operations
• Deep insight into how generative AI and agentic systems are used to accelerate reconnaissance, simulate advanced phishing, guide penetration testing, and perform AI-powered red teaming — all within ethical and legal boundaries
• Practical knowledge of how AI is transforming risk assessment, compliance mapping, policy generation, continuous auditing, and governance in enterprise environments
• The ability to speak confidently about AI applications in cybersecurity during job interviews, board presentations, audits, and strategic discussions
• Awareness of current limitations, ethical considerations, bias risks, and responsible adoption frameworks for AI in security workflows
Course Structure Overview
Section 1 – Introduction to AI in Cybersecurity Understand why AI is now essential in 2026, the core AI concepts relevant to security professionals (without mathematics), and the ethical and regulatory boundaries that govern responsible use.
Section 2 – Defensive Security: Leveraging AI for Detection, Prevention, and Response Learn how machine learning and generative AI power next-generation threat detection, anomaly hunting, behavioral analytics, automated incident triage, alert correlation, and predictive defense strategies — explained through real-world examples from leading 2026 SOC platforms.
Section 3 – Offensive Security: Using AI to Enhance Ethical Hacking and Red Teaming Explore how generative AI, LLMs, and agentic systems accelerate reconnaissance, create realistic social engineering simulations, guide penetration testing workflows, prioritize vulnerabilities, and simulate advanced attacks — all within strict ethical red teaming frameworks.
Section 4 – Cybersecurity Management: AI in GRC, Risk Assessment, and Audit Discover how AI enables predictive risk scoring, automated control mapping, policy and report generation, continuous compliance monitoring, evidence analysis, and governance policy development in regulated environments.
Section 5 – Conclusion and Strategic Integration See how defensive, offensive, and management applications of AI interconnect in real-world scenarios, understand the future trajectory of AI in cybersecurity through 2026–2030, and prepare for the next steps in your professional development.
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