Neurosecdata

The Challenge

Modern companies face increasingly sophisticated cyber threats: ransomware, data breaches, unauthorized access, and attacks that can paralyze a business in minutes. Neurosecdata was born to offer intelligent solutions that not only detect threats but stop them before they cause damage.

My Role

I assumed complete technical responsibility for the project, which included:

• Infrastructure Architecture: I designed and deployed the entire on-premise data center using Kubernetes with Rancher as orchestrator. This decision enabled horizontal scalability and high availability to process millions of security events.
• AI Algorithm Development: I created from scratch the machine learning algorithms for self-learning and device behavior profiling. The system learns normal patterns from each device on the network and detects anomalies in real-time.
• Traffic Capture Appliances: I developed in Python the appliances that capture and analyze network traffic, identifying both external and internal threats (insider threats).
• Neutralization System: I implemented automatic response mechanisms that can isolate compromised devices, block malicious IPs, and contain threats without human intervention.
• UX/UI Design: I designed all dashboards and user experience for the 6 platforms in the ecosystem, prioritizing information clarity for SOC teams.

Team Leadership

I coordinated development teams distributed between Spain and India, managing sprints across multiple time zones and ensuring consistent deliveries. I implemented agile methodologies adapted to remote teams.

Technical Architecture

The platform uses a microservices architecture deployed on Kubernetes, with MongoDB Sharded to guarantee high availability and performance. The integrated SOC/SIEM system enables 24/7 monitoring with real-time alerts and geographic threat visualization dashboards (ScanMap).