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AI Agents for Cybersecurity · LearnSpace
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courseraIT и технологии

AI Agents for Cybersecurity

Курс от STARWEAVER
Средний≈ 8.5 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

The cybersecurity field is rapidly evolving, with AI agents for cybersecurity emerging as a critical force in defending against advanced cyber threats. This course explores the transformative shift from manual security methods to intelligent automation, highlighting how AI agents for cybersecurity, powered by Large Language Models, can reason, act autonomously, and integrate deeply within Security Operations Centres (SOCs). You'll begin with foundational concepts in AI agent design and progress toward real-world AI agents for cybersecurity workflows including threat detection, vulnerability analysis, incident response, and proactive threat hunting. Alongside technical implementation, the course addresses essential topics in security governance, operational risk, and the ethical deployment of autonomous AI tools for cybersecurity systems. Aligned with the latest advancements in AI agents for cybersecurity, this course offers SOC analysts, managers, and cybersecurity professionals actionable insights into using AI for cybersecurity to improve speed, precision, and scalability in cyber defence. Whether you're exploring AI in cyber security, enhancing current operations, or preparing for the AI-driven future of cybersecurity, you'll gain the knowledge and confidence to deploy AI cybersecurity systems responsibly and effectively.

Навыки, которые вы освоите

Risk MitigationTechnology StrategiesGenerative AI AgentsCyber Security AssessmentLarge Language ModelingData EthicsArtificial IntelligenceCybersecurityAutomation

Программа курса

6 модулей · 62 учебных материалов

01Course Introduction 3 материалов
Welcome to the Course: Course OverviewЧтениеPrompt Injection Under Pressure: Safeguarding an AI Agent in Your SOCDIALOGUEWelcome and Course GoalsВидео
02Foundations of AI Agents in Cybersecurity 17 материалов

Lesson 1: Introduction to AI and LLMs in Cybersecurity

Учитесь у экспертов

Gleb Marchenko

5G/6G technical trainer and advisor

Starweaver

Global Leaders in Professional & Technology Education

AI Agents for Cybersecurity
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Новые знания — в удобное для вас время.

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Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 8.5 ч

6 модулей

Язык: Английский

Субтитры: Арабский, Французский, Итальянский, Бразильский португальский, Корейский, Немецкий, Индонезийский, Испанский, Японский, Венгерский

Часть программы вашего университета
Module Introduction Видео
The Transformative Potential of AI and LLMs in Cybersecurity Видео
Defining Large Language Models (LLMs) and their Architectures Видео
Evolution of AI in Cybersecurity: From ML to Agentic AIВидео

Lesson 2: Core Concepts of AI Agents

What are AI Agents? Definition, Characteristics, and Workflow ВидеоLLMs as the "Brain" of AI Agents: Capabilities and Limitations ВидеоAgent Autonomy Levels in Cybersecurity ВидеоMulti Agent Systems: Collaboration and Complexity ВидеоMemory and Learning in AI AgentsВидеоAdapting LLMs for Cybersecurity: Fine-tuning, Prompt Engineering, and Augmentation Видео

Lesson 3: Datasets and Data Handling for AI Agents in Cybersecurity

Types of Datasets in LLM for Security: Code-based, Text-based, and combined ВидеоData Pre-processing and Representation for Cybersecurity AI ModelsВидеоAddressing Data Scarcity: LLMs for Data Augmentation in CybersecurityВидеоThe Rise of AI Agents: Anticipating Cybersecurity Opportunities, Risks, and the Next Frontier ЧтениеAutomated Vulnerability Remediation Ethics ОбсуждениеHands-On-Learning: Drafting an AI Agent Architecture for Real-Time Threat Prioritization Взаимная проверкаFoundations of AI Agents in Cybersecurity Задание
03AI Agents in Cybersecurity Operations (Detection & Analysis) 14 материалов

Lesson 1: AI Agents in Threat Detection

Module Introduction ВидеоReal-Time Detection of Cyber Threats with AIВидеоAutomated Vulnerability Detection and Analysis ВидеоMalware Analysis and Classification with AI Agents Видео

Lesson 2: AI Agents in Network and Social Engineering Security

Network Intrusion Detection and Attack Classification ВидеоDetecting and Defending Against Phishing Attacks and Deceptive Language ВидеоLeveraging AI for Threat Intelligence and Attack Surface Management Видео

Lesson 3: Advanced Analysis Capabilities

AI for System Log Analysis and Anomaly Detection ВидеоReverse Engineering and Binary Analysis with AI Assistance ВидеоAI for Understanding Security and Privacy Policies ВидеоAdvancing Cybersecurity Operations with Agentic AI Systems ЧтениеThe Human-AI Detection Paradox ОбсуждениеHands-On-Learning: Analysing Phishing Attack with LLM Взаимная проверка
04AI Agents in Cybersecurity Operations (Response & Management) 12 материалов

Lesson 1: AI Agents in Incident Response

Module IntroductionВидеоAutomating Vulnerability Repair and Patch Generation ВидеоStreamlining Incident Response Workflows and Playbooks ВидеоPost-Attack Analysis and Root Cause Identification with AIВидео

Lesson 2 : Enhancing Security Operations Centre's (SOCs) with Agentic AI

AI for proactive Defence and threat Hunting ВидеоAI- Powered Risk Management and Predictive Analytics ВидеоOptimizing Cybersecurity Investments and Compliance AutomationВидеоAdaptive Decision Making and Continuous Learning in SOC Agents ВидеоHow AI Agents Could Revolutionize the SOC With Human HelpЧтениеThe Human-AI Partnership Evolution ОбсуждениеHands-On-Learning: AI-Powered Cybersecurity Analysis Activity Взаимная проверкаAI Agents in Cybersecurity Operations (Response & Management) Задание
05Security, Ethics, and Future of AI Agents in Cybersecurity14 материалов

Lesson 1: Security Risks and Vulnerabilities of AI Agents

Module Introduction ВидеоOverview of AI Agent Security Challenges: The Four Knowledge Gaps ВидеоInherent AI-related Vulnerabilities: Adversarial AI, Data Poisoning, and Misalignment ВидеоAgent-Specific Threats: Prompt Injection, Jailbreaking, and Supply Chain Vulnerabilities Видео

Lesson 2: Ethical Considerations and Governance Frameworks

Challenges in LLM Interpretability, Trustworthiness, and Ethical Usage ВидеоAddressing Bias and Fairness in AI Agents ВидеоDesigning Responsible AI: Governance Models and Human-in-the-Loop (HITL) Видео

Lesson 3: Future Directions and Advanced Concepts

Expanding LLM Capabilities and Multimodal AI ВидеоSecurity for LLMs and Proactive Self-Defence ВидеоThe Roadmap for AI Agents in Cybersecurity: Opportunities and Future Research ВидеоSecurity Vulnerabilities in Autonomous AI Agents ЧтениеSecurity risks of AI agents ОбсуждениеHands-On-Learning: Prompt Injection Attack Simulation Взаимная проверка
06Course Conclusion 2 материалов
Course Wrap-up Video ВидеоAI Agent Architecture Design for Enterprise SOC Integration Взаимная проверка
AI Agents in Cybersecurity Operations (Detection & Analysis)Задание
Security, Ethics, and Future of AI Agents in CybersecurityЗадание