AI-Powered Cyber Defense: Automating Security with Intelligent Agents
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AI-Powered Cyber Defense: Automating Security with Intelligent Agents
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What you'll learn
Gain hands-on experience with AI tools like ChatGPT and Microsoft Sentinel for security automation.
Learn to integrate AI with SIEM solutions to streamline cybersecurity workflows.
Explore techniques for enhancing threat intelligence and analysis using AI-powered tools.
Understand how to create, deploy, and test AI-driven security solutions in real-world environments.
Skills you'll gain
Tools you'll learn
Details to know
May 2026
9 assignments
See how employees at top companies are mastering in-demand skills
There are 9 modules in this course
This course features Coursera Coach! A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course.
In this course, you will learn how AI can revolutionize cyber defense, focusing on automating security workflows using intelligent agents. By exploring AI-driven tools and platforms such as Microsoft Sentinel and OpenAI's ChatGPT, you'll gain practical insights into building and deploying automated security systems. You will also understand the role of AI in enhancing threat intelligence, integrating various cybersecurity tools, and optimizing incident response. You will start by setting up your cybersecurity lab and configuring essential tools like Microsoft Sentinel and ChatGPT for automated workflows. From there, you will progress through lessons that help you integrate advanced features, such as AI-driven threat detection and automated security reporting, while learning to customize solutions for specific use cases. The course also explores threat intelligence enhancement with AI, including using services like VirusTotal for better analysis. Designed for cybersecurity professionals, this course will benefit those looking to enhance their security operations with AI and automation. The target audience includes IT professionals, cybersecurity analysts, and anyone interested in advanced defense mechanisms powered by artificial intelligence. There are no strict prerequisites, but familiarity with basic cybersecurity principles is helpful. The difficulty level is intermediate, as the course builds on foundational cybersecurity knowledge. By the end of the course, you will be able to configure and deploy AI-driven cybersecurity automation, integrate OpenAI's ChatGPT into your security workflows, enhance threat intelligence using AI, and implement advanced AI solutions for real-time defense scenarios.
In this module, we will provide an overview of the course scope, goals, and the exciting cybersecurity automation journey ahead. Youβll gain insight into how AI will transform traditional security operations and set the stage for the tools and skills you'll be using in later modules. This section serves as your introduction to the upcoming learning experience.
What's included
1 video1 reading
1 videoβ’Total 2 minutes
- Introductionβ’2 minutes
1 readingβ’Total 10 minutes
- Full Course Resourcesβ’10 minutes
In this module, we will walk you through the setup of a free cybersecurity lab environment where you'll configure essential AI tools, including Microsoft Sentinel. You'll learn to deploy, update, and configure key systems to enable seamless AI-powered cybersecurity automation. Expect to explore both technical configurations and cost management considerations.
What's included
10 videos1 assignment
10 videosβ’Total 50 minutes
- Get ChatGPT API Key for Automated Cybersecurityβ’3 minutes
- Essential Setup for AI-Driven Security Automationβ’3 minutes
- Introduction to AI-Powered SIEM Solutionβ’1 minute
- 4 - All in One Solution Explainedβ’6 minutes
- Deploying Microsoft Sentinel: Step-by-Step Creationβ’8 minutes
- Changes to Microsoft Sentinel and Lab Setupβ’3 minutes
- Introduction to New Security Portal Interfaceβ’6 minutes
- Configuring Microsoft Sentinel to Enable AI Driven Threat Detectionβ’5 minutes
- Understanding AI Project Costsβ’3 minutes
- Manual Deployment of Microsoft Sentinelβ’13 minutes
1 assignmentβ’Total 15 minutes
- Setup Free Cybersecurity Lab with AI - Assessmentβ’15 minutes
In this module, we will guide you through integrating OpenAI's ChatGPT with SIEM solutions like Microsoft Sentinel. You will build, test, and optimize automated workflows that leverage AI for smarter cybersecurity operations. We will explore how to enhance security alerts with AI-driven insights to improve real-time responses to threats.
What's included
9 videos1 assignment
9 videosβ’Total 55 minutes
- Build in AI Capabilities with Microsoft Sentinelβ’7 minutes
- The Foundation for Cybersecurity Automation with AIβ’1 minute
- Creating Your First Logic Appβ’5 minutes
- Options to Connect Security Automation to ChatGPTβ’4 minutes
- Testing AI Responses for Cybersecurityβ’9 minutes
- Configuring Inputs for AIβ’10 minutes
- Integrating OpenAI into Your Cybersecurity Automationβ’8 minutes
- Enhancing Security Alerts with ChatGPT Insightsβ’5 minutes
- Testing First AI Integration for Cyber Defenseβ’6 minutes
1 assignmentβ’Total 15 minutes
- Integrating OpenAI ChatGPT with SIEM Solution - Assessmentβ’15 minutes
In this module, we will focus on enhancing threat intelligence with AI technologies. You will learn to enrich threat data through automation, integrate AI with existing tools like VirusTotal, and analyze malware samples. This section aims to strengthen your cybersecurity defense with actionable intelligence powered by AI.
What's included
6 videos1 assignment
6 videosβ’Total 32 minutes
- Getting Started with Google Cloud Security AIβ’4 minutes
- Building a VirusTotal Enrichment Automationβ’3 minutes
- Obtaining Your VirusTotal API Keyβ’6 minutes
- Creating a Security Incident in Microsoft Sentinelβ’6 minutes
- Enhancing Your Threat Intelligence Workflowsβ’9 minutes
- Analyzing Malware with AIβ’3 minutes
1 assignmentβ’Total 15 minutes
- Threat Intelligence Enrichment with AI - Assessmentβ’15 minutes
In this module, we will dive into advanced AI-driven cybersecurity solutions. Youβll explore sophisticated techniques for automating security workflows, analyzing complex security logs, and combining multiple AI models for a more robust defense. The focus is on enhancing threat detection, incident response, and overall defense capabilities with AI.
What's included
10 videos1 assignment
10 videosβ’Total 43 minutes
- Introduction to Advance AI Automation for Cybersecurityβ’0 minutes
- How to Use Logs Related to Cybersecurity Incidentβ’4 minutes
- Processing and Parsing Security Logs with AIβ’8 minutes
- Testing AI-Powered Log Analysisβ’3 minutes
- How to Combine Multiple AI Togetherβ’3 minutes
- Combining AI Outputs for Superior Threat Analysisβ’6 minutes
- Testing Real-World Incident Response with AIβ’5 minutes
- Automating Security Query Creationβ’5 minutes
- Implementing AI-Driven Security Analyticsβ’6 minutes
- Testing GenAI Security Queriesβ’4 minutes
1 assignmentβ’Total 15 minutes
- Advanced Cyber Defense Solutions with AIβ’15 minutes
In this module, we will explore commercial AI solutions designed for enterprise-level cybersecurity. You will review platforms such as Intezer, learn to integrate these tools securely, and automate key functions like malware identification and threat analysis. This section introduces you to the enterprise-scale potential of AI in cybersecurity.
What's included
7 videos1 assignment
7 videosβ’Total 22 minutes
- Overview of Commercial AI Solutions for Cybersecurityβ’2 minutes
- Exploring Intezer a Commercial AI Threat Analysis Platformβ’3 minutes
- Setting Up Secure Key Managementβ’3 minutes
- Obtaining Your Intezer API Keyβ’2 minutes
- Automating Malware Identification with AIβ’6 minutes
- Exploring AI-Driven Threat Intelligence Resultsβ’4 minutes
- Decoding AI Automation Logicβ’3 minutes
1 assignmentβ’Total 15 minutes
- Commercial AI Cyber Defense - Assessmentβ’15 minutes
In this module, we will prepare you for implementing AI-based cybersecurity solutions in a production environment. You will learn to deploy, manage, and analyze AI-driven workflows, ensuring that your models are optimized for real-world use. From securing AI credentials to reviewing automation results, this section covers the final steps for bringing your AI solutions into production.
What's included
16 videos1 assignment
16 videosβ’Total 86 minutes
- Introduction to Secure AI for Cybersecurityβ’1 minute
- Protecting Your AI Secretsβ’5 minutes
- Deploying AI Solutions from Templatesβ’6 minutes
- Automating Security Reports with ChatGPTβ’7 minutes
- Build Your Personal AI Model in Azureβ’5 minutes
- Understanding ChatGPT Pricing in Azureβ’5 minutes
- Choosing the Right ChatGPT Modelβ’3 minutes
- Deploying AI Studio in Azureβ’5 minutes
- Overview of AI Studio in Azureβ’6 minutes
- Deep Dive into Azure AI Functionalityβ’8 minutes
- Deploying Your ChatGPT Model in Azureβ’6 minutes
- ChatGPT in Production for Cyber Defenseβ’6 minutes
- Deploying the Azure ChatGPT Playbook: Automate Your Security Workflowβ’4 minutes
- Reviewing Your AI-Enhanced Cybersecurity Workflowβ’3 minutes
- Analyzing Azure AI Automation Resultsβ’5 minutes
- Remediation Actions with AIβ’8 minutes
1 assignmentβ’Total 15 minutes
- Preparing Cybersecurity AI Automation for Production - Assessmentβ’15 minutes
In this module, we will explore how to customize AI by enriching it with your own data. Youβll learn to set up Azure storage, build automation pipelines, and ingest enriched data into your AI models. This process strengthens the relevance and effectiveness of your cybersecurity defense, providing more accurate insights.
What's included
6 videos1 assignment
6 videosβ’Total 19 minutes
- Introduction to Data Enrichment for AI in Cybersecurityβ’1 minute
- Setting Up Azure Storage for AI Data Enrichmentβ’3 minutes
- Building an AI Data Enrichment Automation for Cybersecurityβ’5 minutes
- Generate Files for AI Model Enrichmentβ’2 minutes
- Ingesting Data into Your AI Model in Azureβ’5 minutes
- Leveraging Your Enriched AI Model for Enhanced Cyber Defenseβ’4 minutes
1 assignmentβ’Total 15 minutes
- Customizing AI with Your Data - Assessmentβ’15 minutes
In this module, we will conclude the course with essential tips on avoiding unexpected cloud and AI service costs. Youβll also reflect on the key concepts and practices learned, setting you up for success in applying AI-powered cybersecurity solutions in the real world. The conclusion will solidify your understanding and readiness for future applications.
What's included
1 video2 assignments
1 videoβ’Total 6 minutes
- Avoid Unexpected Chargesβ’6 minutes
2 assignmentsβ’Total 75 minutes
- Full Course Assessmentβ’60 minutes
- Full Course Practice Assessmentβ’15 minutes
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Starweaver
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Frequently asked questions
AI-powered cyber defense refers to the use of artificial intelligence (AI) and machine learning techniques to automate and enhance cybersecurity operations. This approach leverages intelligent agents to detect, prevent, and respond to cyber threats more effectively than traditional methods. It is increasingly relevant due to the growing complexity and volume of cyber threats, which require faster, more scalable responses than manual security systems can offer.
This specialization focuses on automating cybersecurity using AI-driven solutions, primarily through the integration of OpenAI models and advanced security tools such as Microsoft Sentinel and Google Cloud Security AI. Throughout the modules, participants learn how to set up, configure, and integrate AI technologies to strengthen threat detection, incident response, and cybersecurity analytics.
After completing this specialization, you will be capable of deploying and configuring AI-powered security tools, automating threat detection and incident response workflows, and integrating AI insights into your cybersecurity operations. You will also be able to enhance security data analysis, manage AI-driven cyber defense systems, and leverage commercial AI platforms for enterprise-level security.
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