Threat signals were scattered across multiple open-source attack APIs with no unified mechanism to consolidate or standardize them. This made it difficult to maintain a consistent and accurate view of the threat landscape.
The enterprise lacked a dedicated development team to design or maintain the system needed. Threat intelligence was going unprocessed, leaving security operations without a dependable setup to act on incoming data.
Custom ingestion pipelines were built to pull and normalize threat data from multiple open-source attack intelligence APIs into a single unified data flow.
A structured backend was engineered to process, store, and organize incoming threat data for accurate querying and real-time availability.
A responsive frontend was developed to give stakeholders direct access to threat data through an intuitive interface built around security workflows.
A centralized monitoring dashboard was delivered to surface live threat intelligence and support faster and more informed security decisions.
Full product design was managed alongside development, maintaining a cohesive experience across the frontend, backend, and data layers.
3X Faster Threat Detection through automated API ingestion pipelines that removed manual data collection and consolidated signals into a single real-time feed.
100% API Coverage achieved by connecting all targeted open-source attack intelligence sources into one unified backend, replacing fragmented and inconsistent data access.
0 Internal Engineers required to deliver a full-stack platform from backend architecture to frontend design, reducing overhead and accelerating time to deployment.
