Practical AWS Cloud Security Posture Assessment Using Scout Suite
Identify real-world AWS attack surfaces through visual security posture analysis.
Overview
This project simulates a real-world cloud security posture assessment performed by Cloud Security and SOC teams. Using Scout Suite’s interactive dashboard, learners analyze AWS configurations to identify misconfigurations, exposed resources, and attack entry points across core services such as IAM, EC2, S3, VPC, and CloudTrail.
Rather than focusing on compliance benchmarks, this assessment emphasizes risk context, attack surface analysis, and prioritization. Learners translate raw findings into realistic attack scenarios and build a risk-based hardening strategy aligned with enterprise security workflows.
By completing this project, learners gain hands-on experience in interpreting cloud risks, explaining exposure to stakeholders, and validating posture improvements—skills expected from modern cloud security engineers.
What You'll Learn
-
Cloud Security Posture Assessment (CSPA)
Evaluate the real-time security posture of an AWS account through misconfiguration analysis.
-
Attack Surface Identification in AWS
Identify exposed AWS resources and insecure configurations that attackers can exploit.
-
Risk Prioritization & Security Decision-Making
Prioritize cloud security risks based on severity, exploitability, and impact.
-
Validation of Security Hardening
Confirm security improvements by rescanning and validating posture changes.
Prerequisites
- Review the recommended background before starting. View project
About Trainer
Aman Gupta
Aman Gupta is an emerging voice in automation-driven cybersecurity, combining strong engineering skills with a passion for knowledge sharing. He has worked on advanced projects spanning security monitoring, intelligent alerting, process automation, and AI-powered decision systems. With experience bridging software engineering and modern DevSecOps practices, Aman focuses on simplifying complex technologies into practical, real-world applications.
Related Projects
Wazuh + n8n + Anyrun: Automated Malware Analysis
Automate malware analysis by sending Wazuh-detected suspicious files into ANY.RUN, retrieving detailed reports and IOCs, and integrating results back into your SOC workflow.
Apache Web Server Log Monitoring using Wazuh
Real-time detection of HTTP errors, brute-force and suspicious requests from Apache logs
AWS GuardDuty Findings Ingestion in Splunk using S3 and KMS Encryption
Build a secure pipeline to export GuardDuty security findings to an encrypted S3 bucket and automatically ingest them into Splunk for centralized threat monitoring and analysis.