Cloud Security Automation ProjectAWS SecuritySRE AutomationCompliance

AWS Security Hub Remediation Program

Centralized cloud security remediation and compliance automation for enterprise-scale AWS environments.

A structured remediation program for AWS Security Hub findings across accounts, teams, and operational ownership boundaries.

Case Study Snapshot

Project Type
Cloud Security Automation Project
Customer
Confidential Enterprise Customer
Industry
Global Hosting Provider
Duration
Jan 2023 - Jun 2023
Team Size
Security, infrastructure, platform, and application operations teams
Environment
Production AWS Enterprise Environment
Scale
Multi-account AWS Organization
Primary Outcome
65% reduction in critical findings

Role

Senior Cloud Infrastructure Engineer / Site Reliability Engineer / Cloud Security Engineer

Metrics Dashboard

Measurable improvements in security operations.

The program was evaluated through operational outcomes: critical risk reduction, triage speed, account coverage, and compliance visibility.

65%

Reduction in critical findings

Critical risks closed through prioritized remediation and ownership routing.

40%

Faster incident triage

Reusable evidence packs and severity rules reduced manual review time.

100%

Target account coverage

Security Hub coverage standardized across the target AWS account scope.

90%+

Compliance visibility

FSBP-aligned controls made leadership risk tracking easier to sustain.

Executive Summary

Security Hub became the operating layer for cloud remediation.

Implemented a centralized cloud security remediation framework using AWS Security Hub as the security control plane for production AWS environments.

Integrated Security Hub with GuardDuty, Inspector, AWS Config, EventBridge, Lambda, CloudWatch, and SNS to enable continuous compliance monitoring, automated alerting, and faster remediation.

Environment & Scale

Production AWS enterprise scope.

  • Multi-account AWS environment managed under AWS Organizations.
  • Production workloads supporting business-critical applications.
  • Security findings across multiple AWS services and accounts.
  • Remediation ownership across infrastructure, platform, and application teams.
  • Compliance monitoring aligned with AWS Foundational Security Best Practices.

Business Problem

Findings existed, but remediation accountability was fragmented.

Critical risks remained open longer than expected because triage, evidence collection, ownership, and repeatable runbooks were split across environments and teams.

Large volume of findings with inconsistent ownership.
Duplicate findings across multiple AWS security services.
Lack of standardized remediation procedures.
Limited visibility into remediation progress.
Manual evidence collection for audits.
Difficulty prioritizing high-risk findings.

Solution Architecture

AWS-native security services routed into a remediation workflow.

Security Hub centralized findings from detection and compliance services. EventBridge, Lambda, CloudWatch, and SNS created the operational loop for triage, alerting, evidence collection, and closure.

Finding Sources

GuardDuty

Threat detection

Inspector

Vulnerability findings

AWS Config

Compliance checks

IAM Access Analyzer

Access risk detection

CloudTrail

Audit visibility

Remediation Flow

01

AWS Security Hub

Central finding aggregation

02

EventBridge

Severity and compliance routing

03

Lambda

Alerting and remediation logic

04

CloudWatch

Logs and monitoring

05

SNS

Email notifications

06

Evidence Store

Audit-ready records

07

Security Dashboard

Risk and progress visibility

08

Remediation Review

Validate and close findings

Mermaid source
flowchart LR
    GD[Amazon GuardDuty] --> SH[AWS Security Hub]
    INS[Amazon Inspector] --> SH
    CFG[AWS Config] --> SH
    IAM[IAM Access Analyzer] --> SH
    CT[CloudTrail] --> SH

    SH --> EB[Amazon EventBridge]
    EB --> L[AWS Lambda]
    L --> CW[CloudWatch Logs]
    L --> SNS[SNS Email Alerts]
    L --> EV[Evidence Store]
    EV --> DB[Security Dashboard]
    DB --> RM[Remediation Review]

Case Study Snapshot

Signals for senior engineering review.

Industry
Global Hosting Provider
Environment
Production AWS Enterprise Environment
Scale
Multi-account AWS Organization
Team Size
Security, infrastructure, platform, and application operations teams
Role
Senior Cloud Infrastructure Engineer / SRE
Primary Outcome
65% reduction in critical findings
Focus Areas
Cloud Security, Automation, Compliance, Operational Excellence

Technologies Used

AWS-native security, compliance, and automation stack.

AWS Security HubAmazon GuardDutyAmazon InspectorAWS ConfigIAMIAM Access AnalyzerCloudTrailEventBridgeLambdaCloudWatchSNSPythonKMSAWS Organizations

Event-driven

Serverless-first

Least privilege access

Automated remediation where safe

Centralized visibility

Auditability and traceability

Reusable remediation workflows

My Responsibilities

Hands-on cloud security ownership.

  • Implemented AWS Security Hub across production AWS environments.
  • Enabled AWS Foundational Security Best Practices controls.
  • Integrated Security Hub with GuardDuty, Inspector, AWS Config, CloudTrail, EventBridge, Lambda, CloudWatch, and SNS.
  • Designed remediation workflow for critical and high-severity findings.
  • Implemented IAM least-privilege improvements and MFA controls.
  • Reviewed IAM policies, roles, access keys, and privileged access.
  • Configured monitoring, logging, and email alerting.
  • Conducted security assessments and remediation activities.
  • Partnered with security and operations teams.

Security Controls Implemented

Controls translated into actionable remediation.

Root MFA not enabled
Overly permissive IAM policies
Unused access keys
Public S3 bucket exposure
Missing encryption
Missing CloudTrail logging
Missing VPC Flow Logs
Vulnerable EC2 instances
Non-compliant Config rules
Open security groups

Automated Remediation Workflow

A repeatable path from finding to validated closure.

The program separated high-signal routing from remediation execution so teams could act faster without losing traceability.

STEP 01

Finding generated by AWS security service.

STEP 02

Finding normalized in AWS Security Hub.

STEP 03

EventBridge routes critical, high severity, and compliance events.

STEP 04

Lambda runs alerting, evidence collection, and safe remediation logic.

STEP 05

SNS notifies the accountable team.

STEP 06

CloudWatch captures automation logs.

STEP 07

Evidence is attached to the review process.

STEP 08

Finding is validated and closed.

Engineering Outcomes

Operational behavior changed.

  • Reduced MTTR for critical findings.
  • Standardized remediation workflows.
  • Reduced manual operational effort.
  • Improved compliance visibility.
  • Increased repeatability of remediation processes.

Business Impact

Risk became easier to manage.

  • Improved cloud security posture.
  • Reduced manual triage effort.
  • Improved visibility into high-risk findings.
  • Strengthened IAM governance.
  • Improved audit readiness.
  • Created operational accountability.
  • Enabled leadership risk tracking.

Lessons Learned

Security automation needs operating context.

  • Security automation requires ownership metadata.
  • Event-driven workflows improve response time.
  • Small reusable runbooks are more effective.
  • Accountability improves remediation effectiveness.
  • Continuous compliance monitoring is essential.

Why This Project Matters

A practical bridge between cloud security, SRE, and governance.

This project demonstrates production experience with cloud security engineering, AWS security operations, event-driven architecture, automation engineering, compliance governance, and cross-team operational leadership.

Cloud Security EngineeringSite Reliability EngineeringAWS Security OperationsEvent-Driven ArchitectureCloud ArchitectureAutomation EngineeringCompliance and GovernanceCross-Team Leadership

Key Discussion Topics

Interview-ready technical depth.

Security remediation workflows
EventBridge automation
AWS Security Hub design
Cloud governance
Cloud architecture review
Multi-account security
Compliance monitoring
Incident response

Discuss Similar Work

Interested in cloud security automation, AWS governance, or large-scale remediation programs?

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Customer names, account identifiers, ARNs, internal screenshots, IP addresses, domains, and internal tooling details are intentionally excluded. Customer is represented as Confidential Enterprise Customer in the Global Hosting Provider industry.