Ai In Cyber Security
Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.30 GB | Duration: 10h 16m
Published 6/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.30 GB | Duration: 10h 16m
Master the Basics of Artificial Intelligence in Cybersecurity – No Prior AI Knowledge Needed
What you'll learn
Understand the core principles of Artificial Intelligence and how they apply to cybersecurity.
Explore real-world use cases of AI in threat detection, malware analysis, and incident response.
Learn how AI enhances SOC operations, automates tasks, and supports decision-making.
Identify key risks, challenges, and limitations of using AI in cybersecurity environments.
Requirements
A basic understanding of cybersecurity concepts is helpful but not mandatory.
No prior knowledge of Artificial Intelligence is required.
Curiosity about emerging technologies and their impact on security.
Description
Unlock the Power of AI in Cybersecurity – A Foundational Course for All Cyber ProfessionalsArtificial Intelligence is rapidly transforming the cybersecurity landscape. From automating threat detection to enabling smarter incident response, AI is becoming an essential tool in the defender’s arsenal. This course is designed to help cybersecurity professionals at all levels understand how AI is reshaping the cyber threat environment — and how to leverage it effectively.Whether you're a security analyst, risk manager, SOC operator, or simply curious about emerging technologies, this course will give you the foundational knowledge needed to confidently engage with AI-driven cybersecurity tools and strategies.What You’ll Learn:Core concepts of AI and machine learning in the context of cybersecurityHow AI supports threat detection, anomaly analysis, and malware classificationThe role of AI in Security Operations Centers (SOC) and incident responseKey challenges, risks, and limitations of using AI in cyber defenseEmerging trends such as adversarial AI, autonomous response, and AI in threat intelligenceWho Should Enroll?This course is ideal for cybersecurity professionals, IT managers, students, and tech enthusiasts who want to understand how AI is applied in real-world cyber defense scenarios. No prior AI background is required — we start with the basics and build up with practical examples.Stay ahead of the curve. Enroll now and gain the knowledge to navigate the future of cybersecurity with AI.
Overview
Section 1: Introduction
Lecture 1 What is AI
Lecture 2 Types of AI
Section 2: Large Language Models (LLMs)
Lecture 3 Introduction to LLMs
Lecture 4 How LLMs Work
Lecture 5 LLM Evolution and Capabilities
Section 3: Prompt Engineering
Lecture 6 What is Prompt Engineering
Lecture 7 Basic Prompt Engineering Techniques
Lecture 8 Advanced Prompt Enginering Techniques
Section 4: AI for Security Data Analytics
Lecture 9 Log File Analytics for AI
Lecture 10 Data Summarization and Intelligence
Section 5: AI Powered Security Operations
Lecture 11 Security Incident and Event Management (SIEM)
Lecture 12 Network Security With AI
Section 6: AI for Specific Security Operations
Lecture 13 E-mail and Communication Security
Lecture 14 Identity and Access Management
Lecture 15 Malware Analysis and Prevention
Lecture 16 Endpoint Security
Lecture 17 Cloud Security
Lecture 18 Application Security
Section 7: Advance AI Security Applications
Lecture 19 Incident Response and Forensics
Lecture 20 Vulnerability Management
Lecture 21 Advanced Threat Detection
Lecture 22 Security Orchestration and Automated Response (SOAR)
Lecture 23 Threat Hunting and Intelligence - Part 1
Lecture 24 Threat Hunting and Intelligence - Part 2
Lecture 25 AI for Complinace and Data Protection - Part 1
Lecture 26 AI for Complinace and Data Protection - Part 2
Section 8: Risk in the GenAI Landscape
Lecture 27 GenAI and LLM Risks
Lecture 28 Adversial Machine Learning - Part 1
Lecture 29 Adversial Machine Learning - Part 2
Section 9: AI Governance and Ethics
Lecture 30 AI Security Governance
Lecture 31 Ethical Considerations
Lecture 32 Developing an AI Security Strategy
Section 10: Future Developments
Lecture 33 Latest Development in AI for Cyber Security
Lecture 34 Building an AI Security Strategy
Cybersecurity professionals looking to understand how AI is transforming the field,IT managers and SOC analysts seeking to leverage AI tools in security operations,Risk, compliance, and governance professionals exploring AI-driven cyber risk management