Curriculum Overview: Automated Incident Remediation on AWS

This curriculum provides a comprehensive roadmap for mastering the automation of security incident response within the AWS ecosystem, specifically aligned with the AWS Certified Security - Specialty (SCS-C03) exam objectives.

Prerequisites

Before starting this curriculum, students should possess the following foundational knowledge and access:

• AWS Core Services: Proficiency in IAM (policies and roles), EC2, VPC, and S3.
• Security Monitoring: Familiarity with AWS Security Hub, Amazon GuardDuty, and Amazon CloudWatch logs.
• Scripting Basics: A basic understanding of JSON/YAML for configuration and Python (Boto3) for AWS Lambda development.
• Environment: Access to an AWS sandbox account with permissions to create IAM roles and provision Systems Manager resources.

Module Breakdown

Module Objectives

Module 1: The Automation Foundation

• Configure Amazon EventBridge rules to capture security findings from GuardDuty and Security Hub.
• Implement notification patterns using Amazon SNS to alert security teams during automated actions.

Module 2: Systems Manager (SSM) Suite

• Design and execute SSM Automation Runbooks to perform common remediation tasks (e.g., isolating an EC2 instance).
• Use SSM Patch Manager to automate vulnerability remediation across large fleets.
• Configure SSM Incident Manager for structured escalation and tracking of active security events.

Module 3: Serverless Remediation

• Develop AWS Lambda functions to modify security groups or disable exposed IAM keys automatically.
• Orchestrate multi-step remediation workflows using AWS Step Functions to handle complex logic and retries.

Module 4: Specialized Forensics & Recovery

• Deploy the Automated Forensics Orchestrator for Amazon EC2 to capture disk and memory images upon compromise detection.
• Utilize Amazon Application Recovery Controller (ARC) to manage failover and recovery readiness for critical workloads.

Module 5: Testing & Validation

• Use AWS Fault Injection Service (FIS) to simulate security failures and validate that automation triggers correctly.
• Leverage AWS Resilience Hub to assess the recovery posture of security-critical applications.

Success Metrics

Mastery of this curriculum is demonstrated when the learner can:

1. Reduce Mean Time to Remediate (MTTR): Successfully automate the containment of a threat (e.g., credential exposure) to occur in under 60 seconds.
2. Zero-Touch Isolation: Provision an environment where a "Malicious IP" finding automatically triggers a VPC Network ACL change without human intervention.
3. Compliance Adherence: Ensure 100% of EC2 instances are compliant with a "Required Patch Level" using SSM State Manager and Patch Manager.
4. Forensic Integrity: Generate a consistent forensic artifact (EBS Snapshot) within 5 minutes of a simulated ransomware alert.

Real-World Application

[!IMPORTANT] In modern cloud environments, manual incident response is no longer viable due to the speed and scale of potential attacks.

• Scaling Security Teams: Automation allows a small security team to manage thousands of AWS accounts by handling "known-bad" events automatically, freeing humans for complex investigations.
• Eliminating Human Error: Automated runbooks ensure that the same security policy is applied every time, avoiding the risks of misconfigured security groups during a high-stress incident.
• Regulatory Compliance: Many frameworks (SOC2, HIPAA) require evidence of timely response. Automated logs in CloudTrail provide an immutable audit trail of how and when an incident was remediated.