AWS Security Foundation for Houdiny AI Platform

Customer: Houdiny AI

ACE Opp ID: 024688744022

Industry: SaaS / AI-Powered Lead Outreach Assistant Platform

Solution Area: Secure AWS Setup, SOC Monitoring, Vulnerability Assessment, and Penetration Testing

Customer Background

Houdiny AI is an AI-powered lead outreach assistant platform that helps enterprises automate and optimize sales engagement. As the platform scaled, Houdiny AI required a secure, production-ready AWS environment that could protect customer data, support compliance readiness, and provide continuous security visibility.

Houdiny AI partnered with Atomic Computing to implement a secure AWS foundation supported by monitoring, vulnerability management, penetration testing, and automated remediation.

1. Executive Summary

Atomic Computing designed and implemented a secure AWS environment for Houdiny AI, focused on secure setup, continuous SOC monitoring, timed vulnerability assessments, and scheduled penetration testing.

The solution used AWS-native security services including IAM, AWS Identity Center, AWS CloudTrail, Amazon GuardDuty, AWS Security Hub, AWS Config, Amazon CloudWatch, AWS KMS, Amazon Macie, AWS WAF, Lambda, EventBridge, and Terraform-managed remediation runbooks.

The engagement enabled Houdiny AI to improve cloud security visibility, reduce misconfiguration risk, validate security controls, and maintain stronger audit readiness for ISO 27001 and SOC 2-aligned practices.

2. Customer Challenges

Houdiny AI needed to address the following security and operational challenges:

• Secure setup of AWS accounts, workloads, identity, networking, and encryption
• Limited centralized visibility into AWS security events and configuration changes
• Need for continuous SOC monitoring and alert triage
• Lack of scheduled vulnerability assessments across cloud and application assets
• Need for authorized penetration testing to validate exploitable risks
• Manual remediation and tracking of non-compliant resources
• Audit readiness requirements for ISO 27001 and SOC 2-aligned controls

3. Solution Overview

Atomic Computing implemented a security-focused AWS operating model covering secure architecture, monitoring, recurring assessments, and remediation.

The solution included:

• Secure AWS account and workload configuration
• IAM and AWS Identity Center for least-privilege access
• Multi-factor authentication for privileged users
• Secure VPC and security group configuration
• Encryption using AWS KMS
• Centralized logging with AWS CloudTrail and CloudWatch
• Threat detection with GuardDuty
• Security posture management with Security Hub and AWS Config
• Sensitive data discovery with Amazon Macie
• Web application protection using AWS WAF
• SOC monitoring and incident escalation procedures
• Timed vulnerability assessments
• Scheduled penetration testing
• Automated remediation using Lambda, EventBridge, and Terraform

4. SOC Monitoring and Security Operations

Atomic Computing implemented SOC monitoring to provide Houdiny AI with continuous visibility into security risks and suspicious activity.

The SOC process included:

• Monitoring GuardDuty, Security Hub, CloudTrail, CloudWatch, AWS Config, and WAF findings
• Reviewing suspicious logins, unusual API calls, exposed services, and configuration drift
• Triage and prioritization of high-severity alerts
• Escalation of confirmed incidents to technical owners
• Remediation tracking and closure reporting
• Periodic security posture reporting
  
  

Key metrics tracked included:

5. Timed Vulnerability Assessments

Atomic Computing established timed vulnerability assessments to identify risks across Houdiny AI’s AWS environment and application-facing assets.

Assessment activities included:

• Reviewing AWS configuration risks
• Checking IAM permissions and privilege exposure
• Identifying open ports and public-facing services
• Reviewing security group rules
• Checking encryption and data protection controls
• Identifying cloud misconfigurations
• Reviewing application-facing vulnerabilities
• Assigning severity ratings
• Providing remediation recommendations
• Revalidating resolved findings where required

This helped Houdiny AI identify and reduce security weaknesses on a recurring basis.

6. Scheduled Penetration Testing

Atomic Computing implemented an authorized penetration testing process to validate Houdiny AI’s real-world security posture.

The penetration testing process included:

• Defining scope, targets, and testing windows
• Conducting reconnaissance on approved assets
• Testing authentication and authorization controls
• Validating common web application risks, including OWASP-aligned issues
• Confirming exploitability of identified vulnerabilities
• Documenting evidence and business impact
• Providing prioritized remediation guidance
• Supporting retesting after fixes

This enabled Houdiny AI to move beyond vulnerability identification and understand which risks were practically exploitable.

7. Automated Remediation and Risk Tracking

Atomic Computing implemented automated remediation and structured risk tracking to reduce manual effort and improve response times.

All findings were assigned severity, ownership, remediation timelines, and closure status.

8. Incident Response SOP

Atomic Computing helped Houdiny AI define a security incident response SOP covering:

1. Detection through GuardDuty, Security Hub, CloudWatch, AWS Config, and WAF logs
2. Severity classification as Critical, High, Medium, or Low
3. Notification to SOC, technical owners, and stakeholders
4. Containment of affected resources or access paths
5. Remediation through configuration changes, patching, access removal, or key rotation
6. Root cause analysis using CloudTrail, Config, and workload logs
7. Documentation for operational and audit evidence
8. Post-incident review and continuous improvement

9. Business Outcomes

The engagement delivered the following outcomes for Houdiny AI:

• Secure and production-ready AWS setup
• Improved visibility into cloud security events
• Continuous SOC monitoring and alert triage
• Reduced risk from misconfigurations and exposed services
• Scheduled vulnerability assessments
• Authorized penetration testing and retesting
• Faster remediation using automation and runbooks
• Stronger incident response readiness
• Better audit readiness for ISO 27001 and SOC 2-aligned practices
• Improved protection of sensitive customer and business data

10. Conclusion

Atomic Computing helped Houdiny AI establish a secure AWS operating model built around secure setup, SOC monitoring, timed vulnerability assessments, and scheduled penetration testing.

By combining AWS-native security services, automated remediation, structured incident response, and recurring security validation, Atomic Computing enabled Houdiny AI to reduce risk, improve visibility, and operate its SaaS platform securely on AWS.