CASE STUDY
Security
Madrid, Spain
An enterprise cybersecurity platform using AI-driven threat intelligence to monitor, detect, and respond to suspicious network activity in real time.
70%
Reduction in cyber incident response time through AI-driven monitoring
24/7
Continuous real-time threat detection and alerting coverage
Billions
Network log events processed and analysed at enterprise scale
Enterprises struggled to monitor and respond to sophisticated cyber threats across massive volumes of network logs and infrastructure activity. Traditional security systems lacked scalability, real-time visibility, and rapid response capabilities.
Massive daily network log volumes overwhelming security teams
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Slow incident detection and manual threat analysis workflows
High-volume pain points
Corelight enabled our teams to detect and respond to threats much faster while improving visibility across enterprise network operations.
Week 1–2
Security infrastructure analysis, threat modelling, and enterprise workflow planning.
Week 3–5
Development of AI detection systems, analytics dashboards, and network monitoring pipelines.
Week 6–8
Deployment of search engines, alerting systems, and real-time incident response integrations.
Week 9+
Continuous AI optimisation, threat intelligence updates, and operational scaling.
Frontend
React
Backend
NodeJS
AI & ML
PyTorch AI/ML Services
Infrastructure
AWS Cloud Infrastructure
Monitoring
Enterprise-grade analytics dashboards
Integrations
PagerDuty and alert management systems
