Cloud misconfigurations Incident Handling
RCCE students will learn cloud and infrastructure misconfiguration detection, prevention, and remediation including CSPM deployment, configuration baseline management, and automated remediation. RCCE students will learn to identify common misconfigurations across cloud platforms including public S3 buckets, overly permissive security groups, unencrypted data stores, and misconfigured identity policies, deploy cloud security posture management tools, establish configuration baselines and detect drift, implement automated remediation for critical misconfigurations, prioritize misconfiguration findings by exploitability and business impact, and build organizational processes that prevent misconfigurations from reaching production. This incident response course prepares students to act decisively during security incidents with structured workflows and clear decision frameworks. Starting from foundational concepts, RCCE students will learn containment, evidence collection, eradication, and recovery procedures specific to this domain. Students practice incident scenarios that build the composure, coordination, and documentation skills essential for effective incident handling.
- Cloud Security Architects and Engineers
- DevSecOps and Platform Engineers
- Identity and Access Management Specialists
- Security Analysts securing cloud workloads
- Professionals implementing Cloud misconfigurations Incident Handling
- Execute hands-on tasks for cloud misconfigurations
- Execute hands-on tasks for incident handling
- Build detections and response workflows for privilege escalation
- Execute hands-on tasks for cloud misconfiguration landscape
- Execute hands-on tasks for structured ir for cloud incidents — covering 65%.
- Design a scalable privilege management architecture with policy and enforcement
- Execute hands-on tasks for common misconfiguration categories
- Execute hands-on tasks for storage exposure
- Integrate privilege controls with identity providers and SIEM telemetry, including Network Security.
- Execute hands-on tasks for public storage exposure — s3 buckets
- Execute hands-on tasks for how exposure occurs — covering Bucket ACL set to public-read or public-read-write, Bucket policy allows s3:GetObject for Principal: *.
- Execute hands-on tasks for legacy buckets created before block public access
| Module 01 | Cloud Misconfigurations |
| Module 02 | Incident Handling |
| Module 03 | Detection, Prevention, Remediation & Incident Response |
| Module 04 | Cloud Misconfiguration Landscape |
| Module 05 | Structured IR for cloud incidents |
| Module 06 | Shared Responsibility Model |
| Module 07 | Common Misconfiguration Categories |
| Module 08 | Storage Exposure |
| Module 09 | Identity & Access |
| Module 10 | Public Storage Exposure — S3 Buckets |
| Module 11 | How Exposure Occurs |
| Module 12 | Legacy buckets created before Block Public Access |
| Module 13 | Bucket ACL set to public-read or public-read-write |
| Module 14 | Detection & Prevention |
All hands-on labs run on Rocheston Rose X OS. Students practice cloud misconfigurations incident handling by implementing the controls discussed in class, with a focus on real-world deployment, monitoring, and validation.
- Lab 1: Execute hands-on tasks for cloud misconfigurations
- Lab 2: Execute hands-on tasks for incident handling
- Lab 3: Build detections and response workflows for privilege escalation
- Lab 4: Execute hands-on tasks for cloud misconfiguration landscape
- Lab 5: Execute hands-on tasks for structured ir for cloud incidents
Upon successful completion of this course, students will receive an official RCCE Course Completion Certificate for Cloud misconfigurations Incident Handling, verifiable through the Rocheston certification portal.
- Full access to all course materials and slide decks
- Hands-on lab access on Rocheston Rose X OS environment
- Access to Rocheston CyberNotes
- Access to Rocheston Zelfire — EDR/XDR SIEM platform
- Access to Rocheston Raven — online cyber range exercise platform
- Access to Rocheston Vulnerability Vines AI