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Cybersecurity Defense With Genai Certification
Published 11/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 10.65 GB | Duration: 17h 45m
Building a Strong Foundation in Cybersecurity Defense with Generative AI: Concepts, Strategies, and Applications
What you'll learn
GenAI in Cyber Defense: Learn how GenAI fortifies defenses against emerging cyber threats.
Core GenAI Concepts: Grasp essential GenAI terms and their relevance in cybersecurity.
Security Posture: Understand how GenAI assesses and enhances organizational security.
Proactive Defense: Explore GenAI's role in continuous posture monitoring for resilience.
Threat Detection: Discover AI's capability to identify and respond to cyber threats in real-time.
Threat Intelligence: Study GenAI's approach to integrating threat intelligence and automation.
Real-Time Support: Learn how GenAI provides recommendations to minimize cybersecurity risks.
Enhanced Reporting: Explore how GenAI-driven reports make complex data actionable.
Streamlined Threat Analysis: Examine how GenAI finds patterns to prevent future attacks.
Automated Security Tasks: Understand GenAI's role in automating routine cybersecurity tasks.
Alert Management: Learn how GenAI prioritizes alerts and manages security cases efficiently.
Vulnerability Detection: Discover GenAI's predictive capabilities in vulnerability management.
SSL Certificate Management: Study GenAI's automation of SSL certificate lifecycle processes.
Customized Detection Rules: Explore AI-driven detection rules tailored to evolving threats.
Incident Response Optimization: Understand how GenAI enhances incident response tactics.
Future-Ready Cybersecurity: Prepare for the future with GenAI's proactive security measures.
Requirements
No Prerequisites.
Description
This course delves into the intricate interplay between Generative AI (GenAI) and modern cybersecurity, exploring how these technologies converge to fortify defense mechanisms against evolving cyber threats. With a focus on theory, the course introduces students to the foundational aspects of GenAI in cybersecurity, providing a comprehensive understanding of the roles, benefits, and limitations associated with its application. From establishing essential concepts and terminology to examining the role of GenAI in cyber defense, this course illuminates the landscape of AI-driven cybersecurity and its potential to transform threat detection and response. Students will gain insights into GenAI's role in fortifying cyber defenses, identifying its strengths and recognizing where limitations may arise, thus preparing them for more advanced concepts within the field.As security hygiene and posture management become ly complex, GenAI emerges as a critical tool for maintaining high standards in organizational security practices. This course provides an in-depth look at how GenAI can assess security posture, automate analyses, and recommend best practices tailored to specific organizational needs. By exploring the theoretical underpinnings of continuous posture monitoring and resilience enhancement, students will understand how GenAI can contribute to maintaining a proactive defense stance in today's cyber landscape. The course explores the broader implications of GenAI's contributions to organizational resilience, presenting a layered approach to cybersecurity that aligns with evolving digital threats.The acceleration of threat detection and response processes is another focal point within this course. Students will explore how AI-driven solutions can transform threat intelligence integration, rapidly identify emerging threats, and automate containment strategies to improve organizational response times. GenAI, as examined in this course, plays a significant role in supporting real-time intelligence and optimizing response tactics, presenting a theoretical framework that aligns with the industry's shift toward automation and precision in security protocols. Through these discussions, students are prepared to appreciate the efficacy of AI in handling cyber threats with increased agility.Understanding GenAI's role in providing tailored guidance and recommendations for cybersecurity staff adds a human-centered element to the course. By examining theoretical approaches to delivering real-time recommendations, minimizing human error, and monitoring staff actions with AI insights, students will learn how GenAI supports cybersecurity professionals by enhancing their decision-making capabilities. This section emphasizes GenAI's supportive role in reducing manual effort and ensuring alignment with established security protocols, which underscores the symbiosis between AI and human cybersecurity professionals.In the realm of security reporting and analysis, GenAI's capacity to automate report generation and enhance data visualization is essential. This course explores how GenAI-driven solutions can improve threat intelligence analysis, produce succinct incident summaries, and deliver customizable reporting for stakeholders. By focusing on the theoretical aspects, students will understand how GenAI enhances security reporting, making complex data comprehensible and actionable across various organizational levels. This not only reinforces the importance of accurate and insightful reporting in cybersecurity but also demonstrates how GenAI can bridge communication gaps within organizations.The incorporation of GenAI into threat intelligence analysis also serves as a significant theme in this course. By examining theoretical models of threat data correlation and emerging pattern identification, students will explore how GenAI can streamline the threat intelligence process. This knowledge positions students to understand how integrating diverse threat sources and producing actionable insights are vital to proactive threat defense, making threat intelligence an indispensable component of modern cybersecurity strategy.Process automation and orchestration, as explored in this course, highlight the capacity of GenAI to transform routine security tasks and optimize workflows. Through theoretical discussions on managing complex security workflows and automating repetitive tasks, students will recognize the advantages of process automation in enhancing cybersecurity operations. This section emphasizes GenAI's ability to reduce human workload, allowing security professionals to focus on high-priority issues and refine their operational strategies.This course also addresses the essential elements of security case management and alert management, focusing on how GenAI can streamline and prioritize case resolution and enrich alert systems. Students will gain an understanding of how AI-driven case management aids in incident tracking and real-time reporting, ensuring efficient management and response to security alerts. By emphasizing the theoretical aspects, the course illustrates the ways GenAI enhances operational efficiency within cybersecurity.Vulnerability management stands as a critical area in cybersecurity, and this course delves into GenAI's role in identifying, prioritizing, and reporting on vulnerabilities. From predictive vulnerability analysis to effective progress reporting, students will understand the theoretical foundation of using GenAI in vulnerability management. This section emphasizes GenAI's predictive capabilities and efficiency in addressing potential threats, underscoring its value in creating a resilient security framework.In summary, this course provides a theoretical exploration of GenAI's integration into cybersecurity, focusing on its transformative effects across various defense functions. By examining GenAI's role in SSL certificate management, detection rule creation, ticketing systems, incident response, and threat hunting, students will appreciate the expansive scope of GenAI's influence in cybersecurity. Each section builds on the understanding of AI-driven methodologies, empowering students with knowledge of how these technologies continue to shape the cybersecurity field in response to a rapidly changing threat landscape. Through this course, students are invited to comprehend the theoretical complexities of GenAI's contribution to a proactive, robust, and future-ready approach to cybersecurity.
Overview
Section 1: Course Resources and Downloads
Lecture 1 Course Resources and Downloads
Section 2: Introduction to GenAI in Cybersecurity Defense
Lecture 2 Section Introduction
Lecture 3 Overview of GenAI in Cybersecurity
Lecture 4 Case Study: Integrating GenAI in Cybersecurity
Lecture 5 Key Concepts and Terminologies
Lecture 6 Case Study: Harnessing GenAI for Enhanced Cybersecurity and Privacy
Lecture 7 Role of GenAI in Modern Cyber Defense
Lecture 8 Case Study: Harnessing GenAI for Advanced Cybersecurity
Lecture 9 Benefits and Limitations of GenAI for Cybersecurity
Lecture 10 Case Study: Integrating GenAI in Cybersecurity
Lecture 11 GenAI Tools for Cybersecurity
Lecture 12 Case Study: Integrating Generative AI
Lecture 13 Section Summary
Section 3: Security Hygiene and Posture Management
Lecture 14 Section Introduction
Lecture 15 Assessing Security Hygiene with GenAI
Lecture 16 Case Study: Transforming Cybersecurity
Lecture 17 Automating Security Posture Analysis
Lecture 18 Case Study: Maximizing Cybersecurity
Lecture 19 Implementing Continuous Posture Monitoring
Lecture 20 Case Study: Enhancing Cybersecurity
Lecture 21 GenAI Recommendations for Security Best Practices
Lecture 22 Case Study: Integrating GenAI: Revolutionizing Cybersecurity Practices
Lecture 23 Enhancing Cyber Resilience with GenAI
Lecture 24 Case Study: Harnessing GenAI for Cyber Resilience
Lecture 25 Section Summary
Section 4: Threat Detection and Response Acceleration
Lecture 26 Section Introduction
Lecture 27 Introduction to AI-driven Threat Detection
Lecture 28 Case Study: Transforming TechNova's Threat Detection and Response System
Lecture 29 Real-time Threat Intelligence Integration
Lecture 30 Case Study: Integrating Real-Time Threat Intelligence
Lecture 31 Using GenAI for Rapid Threat Identification
Lecture 32 Case Study: Harnessing GenAI: Transforming Cybersecurity Threat Detection
Lecture 33 Automated Threat Containment Strategies
Lecture 34 Case Study: Balancing Automation and Human Expertise in Cybersecurity
Lecture 35 Leveraging GenAI for Response Time Optimization
Lecture 36 Case Study: Optimizing Cybersecurity with GenAI
Lecture 37 Section Summary
Section 5: Staff Guidance and Action Recommendations
Lecture 38 Section Introduction
Lecture 39 Tailored Security Guidance Using GenAI
Lecture 40 Case Study: Transforming Cybersecurity
Lecture 41 Implementing GenAI for Security Training
Lecture 42 Case Study: Transforming Cybersecurity: GenAI-Driven Defense Strategy
Lecture 43 Providing Real-time Recommendations for Analysts
Lecture 44 Case Study: Harnessing Generative AI for Proactive Cybersecurity
Lecture 45 Reducing Human Error with GenAI Support
Lecture 46 Case Study: Transforming Cybersecurity Defense and Reducing Human Error
Lecture 47 Monitoring Staff Actions with AI-driven Insights
Lecture 48 Case Study: AI-Driven Monitoring: Transforming Cybersecurity at SecureFinance
Lecture 49 Section Summary
Section 6: Security Reporting and Analysis
Lecture 50 Section Introduction
Lecture 51 Automating Security Report Generation
Lecture 52 Case Study: Enhancing Cybersecurity
Lecture 53 Data Visualization in Security Reports
Lecture 54 Case Study: Enhancing Cybersecurity with Data Visualization
Lecture 55 Threat Intelligence Analysis and Reporting
Lecture 56 Case Study: Enhancing Cybersecurity
Lecture 57 Leveraging GenAI for Incident Summaries
Lecture 58 Case Study: Enhancing Cybersecurity Reporting with GenAI
Lecture 59 Customizable Reporting for Various Stakeholders
Lecture 60 Case Study: Enhancing Cybersecurity with GenAI
Lecture 61 Section Summary
Section 7: Threat Intelligence Analysis
Lecture 62 Section Introduction
Lecture 63 Integrating Threat Intelligence Sources
Lecture 64 Case Study: Empowering Cyber Defense
Lecture 65 Analyzing Threat Feeds with GenAI
Lecture 66 Case Study: Leveraging GenAI for Enhanced Cybersecurity
Lecture 67 Correlating Threat Data Across Sources
Lecture 68 Case Study: Navigating Cybersecurity
Lecture 69 Using GenAI to Identify Emerging Threat Patterns
Lecture 70 Case Study: Integrating GenAI in Cybersecurity
Lecture 71 Actionable Insights from Threat Intelligence
Lecture 72 Case Study: Enhancing Cybersecurity with Actionable Insights at FinSecure Bank
Lecture 73 Section Summary
Section 8: Process Automation and Orchestration
Lecture 74 Section Introduction
Lecture 75 Introduction to Process Automation in Cybersecurity
Lecture 76 Case Study: Enhancing Cybersecurity with Process Automation
Lecture 77 Orchestrating Security Controls with GenAI
Lecture 78 Case Study: Enhancing Cybersecurity with GenAI
Lecture 79 Automating Repetitive Security Tasks
Lecture 80 Case Study: Enhancing Cybersecurity
Lecture 81 Managing Complex Workflows Across Controls
Lecture 82 Case Study: Optimizing Cybersecurity Workflows
Lecture 83 End-to-End Process Automation in Security
Lecture 84 Case Study: Orchestrating Cybersecurity
Lecture 85 Section Summary
Section 9: Security Operations Case Management
Lecture 86 Section Introduction
Lecture 87 Case Management Fundamentals
Lecture 88 Case Study: Enhancing Cybersecurity
Lecture 89 Using GenAI for Case Prioritization
Lecture 90 Case Study: Leveraging GenAI for Enhanced Cybersecurity Alert Prioritization
Lecture 91 Automation of Case Assignments
Lecture 92 Case Study: Transforming TechDefend's SOCs with GenAI
Lecture 93 Tracking and Resolving Cases Efficiently
Lecture 94 Case Study: Integrating GenAI in Cybersecurity
Lecture 95 Real-time Case Monitoring and Reporting
Lecture 96 Case Study: Enhancing Cybersecurity with GenAI
Lecture 97 Section Summary
Section 10: Alert Enrichment and Management
Lecture 98 Section Introduction
Lecture 99 Enriching Alerts with Threat Intelligence
Lecture 100 Case Study: Enhancing Cybersecurity with Threat Intelligence and Automation
Lecture 101 Automating Alert Prioritization
Lecture 102 Case Study: GenAI's Role in Automating Alert Prioritization at SecureTech
Lecture 103 Using GenAI to Filter False Positives
Lecture 104 Case Study: Reducing False Positives with GenAI at CyberTech Solutions
Lecture 105 Incident Correlation and Contextualization
Lecture 106 Case Study: Lessons from Target's 2013 Breach on Incident Correlation
Lecture 107 Optimizing Alert Response Times
Lecture 108 Case Study: Optimizing Alert Response: Integrating SIEM, SOAR, and GenAI
Lecture 109 Section Summary
Section 11: Vulnerability Management
Lecture 110 Section Introduction
Lecture 111 AI-driven Vulnerability Scanning
Lecture 112 Case Study: AI-Driven Vulnerability Scanning
Lecture 113 Prioritizing Vulnerabilities with GenAI
Lecture 114 Case Study: Revolutionizing Vulnerability Management
Lecture 115 Automated Vulnerability Remediation
Lecture 116 Case Study: Transforming Cybersecurity
Lecture 117 GenAI for Predictive Vulnerability Analysis
Lecture 118 Case Study: Harnessing GenAI for Advanced Cybersecurity
Lecture 119 Reporting Vulnerability Management Progress
Lecture 120 Case Study: Transforming Cybersecurity
Lecture 121 Section Summary
Section 12: SSL Certificate Management
Lecture 122 Section Introduction
Lecture 123 SSL Certificate Essentials and Management
Lecture 124 Case Study: Lessons in SSL Certificate Management and Automation
Lecture 125 Automating Certificate Renewal and Expiry
Lecture 126 Case Study: Automating SSL Certificate Management
Lecture 127 Monitoring SSL Status with GenAI
Lecture 128 Case Study: Leveraging GenAI for Enhanced SSL Certificate Management
Lecture 129 Detecting SSL Vulnerabilities
Lecture 130 Case Study: Addressing SSL Vulnerabilities
Lecture 131 Certificate Health Reporting
Lecture 132 Case Study: Optimizing SSL Certificate Management with GenAI
Lecture 133 Section Summary
Section 13: Detection Rule Creation and Management
Lecture 134 Section Introduction
Lecture 135 Introduction to Detection Rules in Cyber Defense
Lecture 136 Case Study: Enhancing Cyber Defense
Lecture 137 Using GenAI to Create Custom Detection Rules
Lecture 138 Case Study: Transforming Cybersecurity
Lecture 139 Optimizing Detection Rules for False Positives
Lecture 140 Case Study: Journey to Reducing False Positives with AI and Collaboration
Lecture 141 Automating Rule Updates
Lecture 142 Case Study: Automating Rule Updates with GenAI and SOAR Platforms
Lecture 143 Testing and Validating Detection Rules
Lecture 144 Case Study: Enhancing Cybersecurity at SecureBank
Lecture 145 Section Summary
Section 14: Security Operations Ticketing Systems
Lecture 146 Section Introduction
Lecture 147 Basics of Security Ticketing Systems
Lecture 148 Case Study: Global Financial Corp's Ticketing System Transformation
Lecture 149 Automating Ticket Creation and Assignment
Lecture 150 Case Study: GenAI Automation in Cybersecurity Ticketing and Assignment
Lecture 151 Using GenAI to Enrich and Categorize Tickets
Lecture 152 Case Study: Enhancing Cybersecurity Operations with GenAI
Lecture 153 Real-time Monitoring of Ticket Status
Lecture 154 Case Study: Real-Time Ticket Monitoring in Healthcare Operations
Lecture 155 Analyzing and Reporting on Ticketing Trends
Lecture 156 Case Study: Enhancing Cybersecurity Through Data-Driven Ticketing Trend Analysis
Lecture 157 Section Summary
Section 15: Incident Response and Automated Remediation
Lecture 158 Section Introduction
Lecture 159 Incident Response Lifecycle with GenAI
Lecture 160 Case Study: Leveraging Generative AI for Enhanced Cybersecurity Incident Respons
Lecture 161 Automation in Incident Remediation
Lecture 162 Case Study: SecureCo's Journey to Enhanced Incident Response
Lecture 163 Role of GenAI in Crisis Management
Lecture 164 Case Study: CyberGuard's GenAI-Driven Incident Response Revolution
Lecture 165 Coordinating Responses Across Teams
Lecture 166 Case Study: Harnessing GenAI for Enhanced Cybersecurity Incident Response
Lecture 167 Post-Incident Analysis and Reporting
Lecture 168 Case Study: Lessons from FinCorp's Post-Incident Analysis
Lecture 169 Section Summary
Section 16: Proactive Threat Hunting Techniques
Lecture 170 Section Introduction
Lecture 171 Introduction to Threat Hunting with GenAI
Lecture 172 Case Study: Enhancing Cybersecurity Threat Hunting with GenAI
Lecture 173 Threat Hunting Methodologies
Lecture 174 Case Study: Proactive Threat Hunting: Strategies, Tools, and Lessons
Lecture 175 Proactive Detection of Unknown Threats
Lecture 176 Case Study: Harnessing GenAI for Proactive Cyber Threat Detection
Lecture 177 Using GenAI for Suspicious Activity Detection
Lecture 178 Case Study: Redefining Cybersecurity Through Proactive Threat Detection
Lecture 179 Reporting and Documenting Threat Hunting Efforts
Lecture 180 Case Study: Alex's Strategic Threat Hunting at CyberGuard Bank
Lecture 181 Section Summary
Section 17: Course Summary
Lecture 182 Conclusion
Cybersecurity Professionals: Those currently working in cybersecurity who want to deepen their understanding of how generative AI can enhance threat detection, response, and overall cyber defense strategies.,IT Managers and Security Leaders: Individuals responsible for overseeing cybersecurity teams or managing security infrastructure who wish to stay ahead of technological advancements and improve decision-making with AI insights.,AI and Data Science Practitioners: Professionals in the AI and data science fields who are looking to explore the intersection of their expertise with cybersecurity and understand the specific applications of AI in protecting digital infrastructures.,Cybersecurity Analysts and Engineers: Analysts, security engineers, and SOC (Security Operations Center) team members who aim to enhance their ability to automate security processes, streamline operations, and reduce human error using AI-driven tools.,Technology Consultants and Solution Architects: Consultants and architects who design or implement cybersecurity solutions for organizations, seeking to integrate AI-driven tools and strategies into their offerings.,Tech Enthusiasts and Lifelong Learners: Individuals passionate about staying up-to-date with cutting-edge technologies in the cybersecurity space who want to gain a theoretical understanding of how AI is shaping the future of cyber defense.,Students and Graduates in Cybersecurity or AI: Those pursuing academic qualifications in cybersecurity, information technology, or AI-related fields, looking to build a strong theoretical foundation in how generative AI can be applied to cybersecurity challenges.
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