Reduced Vulnerability Remediation Time by 67% for a Leading E-Commerce Enterprise

Client Profile

A multi-billion-dollar e-commerce leader in the beauty, fashion, and lifestyle segment operates within a large hybrid cloud ecosystem supported by a fast-paced Agile CI/CD development model. With more than 9,710 digital assets and over 55,000 vulnerabilities tracked, the organization required a unified and scalable approach to modern threat exposure management.

The Challenge

As the company expanded, several issues began to impact the effectiveness of its security operations:

1. Fragmented Security Visibility

• Multiple SAST, DAST, infrastructure, and cloud security tools operating in silos 
• Redundant findings due to uncoordinated scanners 
• Manual correlation of alerts causes operational fatigue 

2. Complex & Distributed Technology Landscape

• Hybrid cloud architecture 
• Multi-region Kubernetes clusters 
• 100+ microservices requiring continuous security coverage 
• Rising vulnerability volume without contextual risk insights 

3. Inefficient Remediation Workflows

• Manual triage extends engineering effort 
• Delayed patch cycles due to a lack of prioritization 
• Difficulty aligning DevSecOps teams on remediation timelines

The Solution

A structured security uplift program was developed to unify visibility, streamline vulnerability management, and accelerate remediation cycles. The operating model was built to integrate seamlessly with the client’s hybrid environment and high-velocity release cycles.
To support specific Continuous Threat Exposure Management (CTEM) workflows, an extended platform capability was incorporated to enhance analytics, aggregation, and automation within the broader security framework.

Solution Framework

Phase 01 – Centralized Integration & Visibility
All scanning and monitoring tools were consolidated into a unified ecosystem to improve transparency and discovery accuracy across the attack surface.

Integrated Tools:

• SAST 
• DAST 
• Infrastructure Scanning 
• Cloud Security Posture Management 
• Supply Chain Security 
• Workflow Automation via Jira 

This layer reduced duplicate findings, improved reporting consistency, and eliminated operational noise.
Phase 02 – Risk-Based Vulnerability Management Pipeline

1. Automated Discovery & Asset Intelligence

• Real-time attack surface discovery 
• Live asset inventory with contextual tagging 
• Automatic identification of new services and deployments 

2. Intelligent Risk Prioritization

A multi-factor scoring engine assessed vulnerabilities based on:

• CVSS 
• Exposure level 
• Exploit availability 
• Business impact 
• Active threat intelligence 

This approach accelerated decision-making and minimized unnecessary remediation.

3. AI-Driven Deduplication & Context Enrichment

• Centralized ingestion of cross-platform vulnerability data 
• AI-based correlation to eliminate duplicates (up to 70% reduction) 
• Threat likelihood and exploitability enrichment for precision 

4. Automated Remediation & SLA Enforcement

• Smart routing of prioritized vulnerabilities into Jira 
• SLA-based workflows to ensure timely remediation 
• Automated re-validation of fixes 
• Notifications via collaboration platforms for faster coordination

Key Differentiators

• Unified exposure management across applications, cloud workloads, microservices, and infrastructure 
• Context-aware prioritization enables engineering teams to focus on high-impact risks 
• Operational automation reduces manual triage by nearly 60% 
• Single-pane-of-glass visibility supporting security, DevOps, and leadership stakeholders 
• Extended platform capabilities providing deeper analytics, continuous monitoring, and correlation

Impact & Measurable Outcomes

Stronger Asset & Exposure Management

• 9,710+ assets covered (95% increase in visibility) 
• 55,690 findings consolidated (27% uplift in true discovery) 
• 7,360 exploitable vulnerabilities prioritized in real time 

Enhanced Vulnerability Management Performance

• 67% faster remediation cycle 
• 82% reduction in false positives 
• Critical risks across 90+ assets reduced to zero 

Operational Excellence

• Significant reduction in manual triage time 
• Stronger response coordination across teams 
• 98% SLA compliance achieved 

This solution was delivered in partnership with Strobes.