Cybersecurity Defense With Genai Certification

Cybersecurity Defense With Genai Certification - Printable Version

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Cybersecurity Defense With Genai Certification - AD-TEAM - 01-14-2025

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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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