Masterclass: AI Agents for Attack Investigation
- Course Code AIA
- Duration 3 days
Course Delivery
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Course Delivery
This course is available in the following formats:
-
Virtual Learning
Learning that is virtual
Request this course in a different delivery format.
Course Overview
TopIn this course, Participant will gain crucial cybersecurity knowledge and skills in terms of AI Agents for Attack Investigation.They will learn to enhance investigations with AI-driven workflows. Red and purple teamers will strengthen adversary emulation and detection validation, while engineers and developers gain hands-on experience building AI-powered tools, pipelines, and multi-agent systems. Security leaders and architects will benefit from practical insights into securing AI systems and addressing emerging vulnerabilities.
This course is based on practical knowledge from tons of successful projects, many years of real-world experience and no mercy for misconfigurations or insecure solutions! All exercises are based on Windows Server, Windows 10, Kali Linux, and Ubuntu.
During this course, you will have the opportunity to go through CQURE’s custom lab exercises, interact with our world-renowned Expert and receive a lifelong certification after completing the course.
Course Schedule
TopTarget Audience
TopThis course is designed for security professionals across offensive, defensive, and hybrid roles. Analysts, hunters, SOC teams, and incident responders
Course Objectives
TopHow-to build custom AI agents to support security investigations
Implement Retrieval-Augmented Generation (RAG) systems for effective knowledge management
Development and deployment of multi-agent systems using CrewAI
Creation of n8n workflows
How to implement security controls for AI systems
Address AI-specific vulnerabilities with practical mitigation strategies
Course Content
TopModule 2: Introduction to AI
Module 3: Python Fundamentals for Security
Module 4: Log Analysis with Sysmon
Module 5: Building Your First AI Model with LangChain
Module 6: Introduction to RAG
Module 7: Advanced RAG Methodologies
Module 8: Tool Calling & Memory Management
Module 9: Domain Investigation Agent
Module 10: LangChain & ReAct Model
Module 11: CrewAI and Multi-Agent Models
Module 12: Introduction to n8n
Module 13: Multimodal AI Agents
Module 14: AI Red Teaming & Security
Course Prerequisites
TopParticipants are recommended to have the following:
Basic understanding of security concepts such as networks, endpoints, threats, and vulnerabilities
Basic Knowledge of Programming/Scripting
General awareness of concepts such as machine learning, automation, or data analysis