Autonomous Incident Response and Threat Hunting
( 25 Modules )

Module #1
Introduction to Autonomous Incident Response
Overview of autonomous incident response, its importance, and benefits

Module #2
Threat Hunting Fundamentals
Understanding threat hunting, its role in incident response, and effective threat hunting strategies

Module #3
Incident Response Methodologies
Overview of incident response methodologies, including NIST and SANS

Module #4
Autonomous Systems Overview
Introduction to autonomous systems, including AI, machine learning, and automation

Module #5
Incident Response Team Roles and Responsibilities
Understanding the roles and responsibilities of incident response team members

Module #6
Autonomous Incident Detection and Analysis
Implementing autonomous incident detection and analysis using AI and machine learning

Module #7
Automated Incident Response Playbooks
Creating and executing automated incident response playbooks

Module #8
Orchestration and Automation in Incident Response
Using orchestration and automation tools to streamline incident response

Module #9
Autonomous Incident Containment and Eradication
Implementing autonomous incident containment and eradication strategies

Module #10
Autonomous Incident Recovery and Post-Incident Activities
Implementing autonomous incident recovery and post-incident activities

Module #11
Threat Hunting Methodologies
Understanding threat hunting methodologies, including intelligence-driven and analytics-driven approaches

Module #12
Threat Intelligence and Information Sharing
Leveraging threat intelligence and information sharing to improve threat hunting

Module #13
Threat Hunting Tools and Techniques
Overview of threat hunting tools and techniques, including network traffic analysis and endpoint detection

Module #14
Automating Threat Hunting
Using automation and AI to augment threat hunting capabilities

Module #15
Threat Hunting in Cloud and Hybrid Environments
Threat hunting in cloud and hybrid environments, including AWS and Azure

Module #16
Advanced Incident Response and Threat Hunting Analytics
Using advanced analytics, including machine learning and predictive analytics, in incident response and threat hunting

Module #17
Autonomous Response to Advanced Threats
Implementing autonomous response to advanced threats, including APTs and zero-day attacks

Module #18
Incident Response and Threat Hunting in IoT and OT Environments
Incident response and threat hunting in IoT and OT environments, including industrial control systems

Module #19
Measuring and Improving Incident Response and Threat Hunting Effectiveness
Measuring and improving incident response and threat hunting effectiveness using metrics and KPIs

Module #20
Legal and Ethical Considerations in Incident Response and Threat Hunting
Understanding legal and ethical considerations in incident response and threat hunting

Module #21
Implementing Autonomous Incident Response and Threat Hunting
Guidelines for implementing autonomous incident response and threat hunting in an organization

Module #22
Case Studies in Autonomous Incident Response
Real-world case studies of autonomous incident response in action

Module #23
Case Studies in Threat Hunting
Real-world case studies of threat hunting in action

Module #24
Autonomous Incident Response and Threat Hunting in the Cloud
Implementing autonomous incident response and threat hunting in cloud environments

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Autonomous Incident Response and Threat Hunting career

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Autonomous Incident Response and Threat Hunting ( 25 Modules )

Autonomous Incident Response and Threat Hunting
( 25 Modules )