Advanced Persistent Threat Detection System
Threat Detection & AI/ML
Government Agency
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Location United Kingdom
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Duration 14 months
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Team Size 10 developers
Project Overview
Machine learning-powered system for detecting Advanced Persistent Threats (APTs) using behavioral analysis and pattern recognition. The platform analyzes network traffic, system logs, and user behavior to identify sophisticated attack campaigns.
Project Scope
- Multi-layer detection engine with supervised and unsupervised ML models
- Network traffic analysis with deep packet inspection
- Endpoint behavior monitoring and anomaly detection
- Attribution analysis and threat actor profiling
- Integration with threat intelligence feeds and MITRE ATT&CK framework
Key Deliverables
- Real-time APT detection engine with low false-positive rates
- Threat hunting platform with interactive investigation tools
- Automated incident response playbooks
- Threat intelligence correlation and enrichment system
- Executive reporting dashboard with risk metrics