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    Ai In Cyber Security

    Posted By: ELK1nG
    Ai In Cyber Security

    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

    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