Curriculum Overview: Incident Response & Runbook Design

This curriculum focuses on the design and implementation of response plans and automated runbooks within the AWS ecosystem. It covers the full lifecycle of an incident, from initial detection and triage through to automated remediation and post-incident forensic analysis, specifically for the AWS Certified Security – Specialty (SCS-C03) exam.

Prerequisites

Before starting this module, students should possess the following foundational knowledge:

• Identity and Access Management (IAM): Proficiency in creating service-linked roles, trust policies, and cross-account permissions.
• AWS Security Foundations: Familiarity with AWS Security Hub, Amazon GuardDuty, and AWS CloudTrail for event detection.
• Cloud Operations: Understanding of AWS Systems Manager (SSM) and Amazon CloudWatch for resource monitoring.
• Basic Scripting: Fundamental knowledge of Python (for AWS Lambda) or YAML/JSON (for SSM Documents).

Module Breakdown

Learning Objectives per Module

Module 1: Incident Response Foundations

• Define the "Incident" lifecycle per AWS best practices (Triage, Diagnosis, Mitigation, Recovery).
• Configure the mandatory IAM service-linked roles required for Incident Manager to interact with other AWS services.

Module 2: Systems Manager Incident Manager

• Design Escalation Plans that coordinate with human contacts across three levels of response.
• Implement Response Plans that automatically trigger when CloudWatch Alarms or EventBridge events occur.

Module 3: Runbook Automation

• Develop and customize SSM Automation Documents in YAML/JSON to perform remediation tasks (e.g., isolating an EC2 instance).
• Orchestrate multi-step responses using AWS Step Functions for complex scenarios like public access key exposure.

Module 4: Centralized Operations & Visualization

• Aggregate operational issues into SSM OpsCenter to prioritize security findings.
• Normalize and parse security data using the AWS Security Finding Format (ASFF) in Security Hub.

Module 5: Forensics & Root Cause Analysis

• Automate the capture of forensic artifacts, such as EBS snapshots and VPC Flow Logs.
• Perform deep-dive investigations using Amazon Detective to visualize resource relationships and behavior during an event.

Visual Anchors

Incident Manager Workflow

Response Architecture

Success Metrics

How to know you have mastered this curriculum:

• MTTR Reduction: You can demonstrate how a manual 30-minute response process is reduced to under 5 minutes via SSM Automation.
• Blast Radius Control: You can successfully implement a runbook that automatically detaches IAM policies and rotates credentials upon exposure.
• Zero-Credential Forensics: You can provision a forensics environment that accesses snapshots without human IR engineers needing long-term access keys.
• Audit Readiness: You can generate a full audit trail of an incident response through SSM Incident Manager's automated timeline.

Real-World Application

[!IMPORTANT] Why this matters in a career: Manual incident response is prone to human error, especially under high-stress conditions.

1. Compliance: Industries like finance and healthcare require documented and tested response plans. Using AWS Systems Manager ensures every action taken is logged for regulatory audits.
2. Scalability: As organizations move to multi-account environments, centralizing response through AWS Organizations and delegated administrators allows for a "security-as-code" approach to defense.
3. Cost Mitigation: Automated remediation (e.g., shutting down rogue Bitcoin mining instances) significantly reduces the financial impact of compromised environments.

[!TIP] Always use the Automated Forensics Orchestrator for Amazon EC2 to ensure consistent evidence handling across your organization.