Cyber Threat Analysis & Management
Advanced threat detection and management to protect network quality of experience for subscribers
Market Context & Challenges
The rapid rise of smart devices, IoT, and cloud-based applications has expanded network vulnerabilities, making service providers prime targets for cyberattacks. Traditional security tools like firewalls and IDS/IPS are no longer sufficient, as they lack the visibility and contextual awareness needed to detect and respond to modern, evolving threats.
Direct Costs: Downtime, data breaches, and immediate financial impact
Indirect Costs: Reputational damage and customer trust erosion
Scalability Needs: Country-wide infrastructure protection requirements
DNI Solution Overview
Cyber Threat Analysis
Real-time detection, classification, and analytics of cyber threats using advanced classification techniques
Cyber Threat Management
Executes real-time mitigation policies to block malicious traffic in both fixed and mobile environments
AI-Powered Key Capabilities
Advanced machine learning and artificial intelligence technologies for comprehensive threat management
AI Threat Detection
Detects and classifies 40+ threat types in real-time using advanced ML algorithms with metadata enrichment
- • URL & Hostname Analysis
- • TCP/UDP Port & Protocol Detection
- • Subnet Analysis & Historical Data
- • Asymmetric Traffic Pattern Recognition
ML Malware Classification
Deep visibility into cyberattack lifecycle aligned with MITRE ATT&CK framework using AI classification
- • Threat Type & Name Identification
- • Confidence Scoring with ML
- • Target & Actor Analysis
- • Kill Chain Mapping
Geolocation Intelligence
AI-enhanced geolocation analysis with trusted IP database integration for contextual threat awareness
- • Country, Region & City Mapping
- • ISP & ASN Correlation
- • Precise Coordinate Tracking
- • Threat Source Attribution
AI-Powered Visualization
Machine learning enhanced reporting and visualization tools for actionable threat intelligence
- • Interactive Threat Location Maps
- • ML-Driven Top Threats Dashboard
- • Predictive Trends Analysis
- • Subscriber Impact Assessment
Real-time AI Mitigation
Intelligent policy enforcement with ML-driven traffic shaping and automated threat response
- • Inline Traffic Shaping & Blocking
- • AI-Driven Policy Management
- • Proactive Threat Mitigation
- • Automated Response Systems
Third-party AI Integration
Seamless integration with external AI/ML security tools and threat intelligence feeds
- • AI Data Enrichment
- • ML Model Interoperability
- • Unified Threat Management
- • Continuous Learning Systems
Benefits for Service Providers
Threat Types Detected
Advanced AI algorithms detect and classify over 40 different types of cyber threats in real-time
Threat Mitigation
Immediate response and neutralization of threats before they can impact network performance
Scalability
Designed to handle large-scale deployments across entire national telecommunications infrastructure
Operational Benefits
- Reduced operational costs through early infection detection
- Decreased support calls and network impact from malware
- Improved network performance and reliability
Business Benefits
- Enhanced customer trust and satisfaction
- Maintained high-quality network experience
- Competitive advantage through superior security