Security Platform / Risk Intelligence System
Prioritizing Risk, Not Just Vulnerabilities
(Jan 2026 — Present)
Role / Services
I designed and built a full-stack cyber risk quantification platform that aggregates vulnerability data, enriches it with real-world threat intelligence, and prioritizes remediation based on actual risk. The system moves beyond raw CVE lists by combining scoring models with business context to surface what truly matters.
From thousands of findings to the few that actually matter.
Client
Cyber Risk Platform
Turning raw vulnerability data into actionable risk.
About This Work
This platform ingests vulnerability data from multiple sources, enriches it with external threat intelligence, and applies a custom scoring model to prioritize risk. Instead of treating all vulnerabilities equally, the system evaluates exploitability, severity, and real-world exposure, then maps findings across business systems to provide context-aware prioritization.
APPLYING Asset CONTEXT TO CREATE ACTIONABLE RISK Priorities.
01.
Data Ingestion & Enrichment
Multi-Source Data Aggregation
Ingested vulnerability data from scanners and structured it into a unified schema for processing.
Threat Intelligence Integration
Enriched findings with external data sources including CVSS, EPSS, and KEV to reflect real-world risk.
Normalization Pipeline
Transformed inconsistent raw data into standardized, queryable formats for downstream scoring.
02.
Risk Scoring Engine
Custom Risk Model
Designed a scoring system combining severity (CVSS), exploit likelihood (EPSS), and known exploitation (KEV).
Weighted Scoring Logic
Applied tiered weighting to emphasize high-risk vulnerabilities and prevent low-risk noise.
Risk Band Classification
Categorized findings into critical, high, medium, and low bands for faster decision-making.
03.
Full-Stack Platform & Visualization
Interactive Risk Dashboard
Built a frontend interface to explore, filter, and rank vulnerabilities across large datasets.
Hierarchical Risk Mapping
Connected findings to assets, applications, and business services for contextual prioritization.
API & Data Layer
Developed backend APIs to serve scoring data efficiently with pagination and filtering.