Case Study
Enhancing Cybersecurity Management through Automated Threat Intelligence Reporting
Industry: Transport
Challenge: Network Security Management
Solution: Machine learning, predictive analytics
Technology: Python, Power BI, Azure Cloud
Situation and Challenge
A major UK transport operator sought to enhance its cybersecurity management capabilities. Key challenges included:
- Need for a real-time security incident reporting system
- Requirement to protect sensitive data and meet regulatory compliance
- Desire to improve risk mitigation and continuous security enhancement
- Increasing sophistication and frequency of cyber threats
Insight and Action
Our comprehensive approach included:
- Developing a cloud database with API connectors for multi-location data ingestion
- Implementing advanced data transformations for analysis readiness
- Deploying a tree-based anomaly detection algorithm to identify unusual network traffic patterns
- Collaborating with cybersecurity professionals to refine threat detection parameters
- Creating an automated threat intelligence dashboard with data from thousands of entities
- Ensuring accurate data attribution and traceability throughout the system
Results and Impact
Our solution delivered significant improvements:
– Swift threat detection and response capabilities
– End-to-end visibility of network traffic
– Robust identification of both known and unknown threats
– Seamless integration with existing security infrastructure
– Comprehensive end-user training for effective solution utilisation
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