Unit 2: Incident Response — Curriculum Overview

This curriculum overview covers the essential strategies and AWS services required to design, test, and execute incident response (IR) plans. Based on the AWS Certified Security - Specialty (SCS-C03) objectives, this unit transitions from simple detection to active containment, remediation, and automated recovery.

Prerequisites

Before beginning Unit 2, learners should have a solid foundation in the following areas:

• Unit 1: Detection: Understanding of monitoring and alerting solutions, specifically Amazon GuardDuty, AWS Security Hub, and Amazon Macie.
• AWS Fundamentals: Proficiency with IAM (Identity and Access Management) policies, roles, and resource-based permissions.
• Basic Logging: Knowledge of AWS CloudTrail and Amazon CloudWatch Logs for tracking API activity and system events.
• Compute Basics: Understanding of EC2 instance lifecycles and network configurations (Security Groups and NACLs).

Module Breakdown

The curriculum is structured into four primary modules, moving from theoretical planning to automated technical execution.

Module Objectives

1. Design and Test Incident Response Plans

• Runbook Development: Create structured response plans using AWS Systems Manager OpsCenter and SageMaker AI notebooks for interactive IR documentation.
• Validation: Recommend procedures to test plan effectiveness using AWS Fault Injection Service (FIS) and AWS Resilience Hub.
• Blast Radius Minimization: Configure service features to isolate affected resources and limit the scope of impact during an event.

2. Design and Implement Logging Solutions

• Log Ingestion: Identify and configure diverse log sources, including VPC Flow Logs, Route 53 Resolver logs, and Transit Gateway logs.
• Data Lakes: Implement centralized log storage using Amazon Security Lake to integrate with third-party SIEM/SOAR tools.
• Correlation: Use Amazon OpenSearch and CloudWatch Logs Insights to parse and correlate events across multiple AWS accounts.

3. Respond to Security Events

• Containment: Implement network containment controls (e.g., modifying security groups) and isolate compromised EC2 instances.
• Recovery: Use Amazon Application Recovery Controller and AWS Backup to restore services to a known good state.
• Automated Remediation: Deploy SOAR (Security Orchestration, Automation, and Response) workflows using AWS Step Functions and Lambda.

4. Root Cause Analysis (RCA)

• Forensic Artifacts: Capture and store system/application logs as immutable forensic artifacts.
• Investigation: Use Amazon Detective to visualize and investigate the root cause of security findings.

Visual Anchors

Incident Response Lifecycle

Automated Forensic Architecture

\begin{tikzpicture}[node distance=2cm] \draw[thick, fill=blue!10] (0,0) rectangle (3,1) node[midway] {Security Hub}; \draw[thick, fill=orange!10] (4,0) rectangle (7,1) node[midway] {EventBridge}; \draw[thick, fill=green!10] (8,0) rectangle (11,1) node[midway] {Step Functions}; \draw[thick, fill=red!10] (8,-2) rectangle (11,-1) node[midway] {Lambda (Contain)}; \draw[thick, fill=purple!10] (4,-2) rectangle (7,-1) node[midway] {S3 (Forensics)};

\draw[->, thick] (3,0.5) -- (4,0.5); \draw[->, thick] (7,0.5) -- (8,0.5); \draw[->, thick] (9.5,0) -- (9.5,-1); \draw[->, thick] (8,-1.5) -- (7,-1.5); \end{tikzpicture}

Success Metrics

Learners will have mastered this unit when they can:

1. Draft a Functional Runbook: Successfully create a Systems Manager Automation document that automates the snapshotting and isolation of an EC2 instance.
2. Correlate Findings: Identify the relationship between a GuardDuty finding and specific VPC Flow Log entries using Amazon Athena.
3. Implement Isolation: Demonstrate the ability to move a compromised resource to a "forensic VPC" without destroying volatile memory.
4. Execute Teardown: Clean up security artifacts and restored resources post-incident to maintain cost-efficiency.

Real-World Application

[!IMPORTANT] Incident Response in the cloud shifts the focus from "if" an incident happens to "how fast" it can be remediated.

In a professional setting, these skills enable a Defense-in-Depth strategy. For example, a Cloud Security Engineer uses these modules to build a self-healing infrastructure where an unauthorized IAM policy change is automatically reverted by AWS Config and a notification is sent to the SOC team via Security Hub, all within seconds of the event. This reduces the "Mean Time to Remediation" (MTTR), which is a critical KPI for modern security organizations.