📊 CASE STUDYFEATURED

Transforming Threat Exposure Management at a Leading Cybersecurity Provider

March 20, 2024
Client
Leading Cybersecurity Company
Industry
Enterprise Cybersecurity
Location
Massachusetts, USA
Key Stakeholder
Chief Operating Officer

The Challenge

Our client sought to overhaul their manual and time-intensive process for mapping software inventory to known vulnerabilities (CVEs) within their threat exposure management systems. With the rise in asset complexity and mounting regulatory pressure on enterprise environments, they needed:

Faster CVE correlation at scale

Manual processes couldn't keep up with the volume

Asset-level CVSS scoring customization

One-size-fits-all scoring wasn't adequate

Real-time high-risk vulnerability identification

Immediate threat response capabilities

Advanced vulnerability prioritization with threat intelligence

Context-aware risk assessment

They required an intelligent, scalable solution that preserved the rigor of their manual system while drastically increasing speed and coverage.

Our Solution

We partnered with our client to architect and implement an advanced, API-first vulnerability intelligence platform comprising three distinct phases:

1️⃣ CVE Mapping Automation

  • Built a robust two-way API interface for ingesting software, vendor, and version data
  • Delivered a CVE correlation engine offering >90% match quality vs. manual processes
  • Incorporated client-specific business logic and customer communication workflows
  • Produced transparency reports and audit trails for CVE mapping confidence

2️⃣ Real-Time High-Risk Patch Identification

  • Developed an API to surface CVEs of immediate concern, backed by intel-driven prioritization
  • Integrated real-time threat intelligence feeds to correlate vulnerabilities with active exploitation campaigns
  • Built dynamic prioritization algorithms that factor in threat actor activity, exploit availability, and asset criticality
  • Delivered supporting marketing collateral and structured documentation to integrate this into internal triage workflows

3️⃣ Intelligent CVSS Rescoring

  • Engineered an asset-aware CVSS rescoring engine considering services, firewall rules, and exposure
  • Enabled per-asset API-based score adjustments with threat intelligence correlation and detailed rationales
  • Implemented contextual vulnerability prioritization based on environmental factors and active threat landscapes
  • Provided quality validation reports and scoring justification logs

Technology Highlights

API-based Integration

Plug-and-play extensibility for client systems

Intelligent Vulnerability Prioritization

AI-driven risk scoring with real-time threat intelligence correlation

Quality Assurance

Human-in-the-loop validation and automated test coverage

Business Impact

Impact AreaValue Delivered
Time Saved95% reduction in manual CVE lookup and mapping
Accuracy ImprovementAchieved and sustained >90% equivalence to prior manual system
Revenue EnablementEnabled new monetization tier for VMS with CVSS rescoring
Threat Intelligence IntegrationReal-time correlation with active exploitation campaigns and threat actor TTPs
Vulnerability PrioritizationContext-aware scoring reducing false positives by 75% and improving patch prioritization accuracy
Customer ValidationTesting successfully coordinated with early adopter customers

"The automation delivered not only met but exceeded our expectations, particularly in preserving our core accuracy while scaling at speed. The team was proactive, responsive, and aligned with our operational needs from day one."

— Chief Operating Officer, Leading Cybersecurity Company

Key Learnings and Differentiators

Advanced Threat Intelligence Correlation

Our proprietary algorithms integrate multiple threat intel feeds to provide contextual vulnerability prioritization that goes beyond traditional CVSS scoring.

Adaptive Architecture

Tailored logic and interfaces ensured compatibility without the client needing to change their internal systems.

Dynamic Vulnerability Prioritization

Built intelligent prioritization that factors in real-time threat landscapes, exploit availability, and environmental context for more accurate risk assessment.

Impact Summary

95%
Reduction in manual CVE lookup and mapping
90%
Match quality vs. manual processes
75%
Reduction in false positives
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