1.7 KiB
1.7 KiB
AIDefence Integration - Security Threat Modeling
Overview
Security-focused graph database for threat pattern recognition, attack vector analysis, and defense strategy optimization.
Purpose
Model cybersecurity threats and defenses using graph-based relationships between threats, attack vectors, and countermeasures.
Operations
- Threats Detected: 5 (SQL injection, XSS, CSRF, DDoS, privilege escalation)
- Attack Vectors: 4 common exploitation paths
- Defense Strategies: 5 countermeasures
- Threat Level: 91.6% average severity
Results
- Throughput: 2.26 ops/sec
- Latency: 432ms avg
- Threats Detected: 5
- Attack Vectors: 4
- Defense Strategies: 5
- Avg Threat Level: 91.6%
Technical Details
Threat Model
threat: {
type: 'sql_injection',
severity: 0.95, // High severity
detected: true
}
Defense Strategy
defense: {
strategy: 'parameterized_queries',
effectiveness: 0.98 // 98% mitigation
}
Threat Coverage
| Threat | Severity | Defense | Effectiveness |
|---|---|---|---|
| SQL Injection | 95% | Parameterized queries | 98% |
| XSS | 88% | Input sanitization | 93% |
| CSRF | 85% | CSRF tokens | 90% |
| DDoS | 92% | Rate limiting | 88% |
| Privilege Escalation | 98% | Secure session mgmt | 95% |
Applications
- Security Operations Centers: Threat intelligence
- Penetration Testing: Attack surface analysis
- Compliance: Security audit trails
- DevSecOps: Security in CI/CD pipelines
Integration Features
- Real-time threat detection
- Defense effectiveness tracking
- Attack vector mapping
- Mitigation strategy optimization
Status: ✅ Operational | Package: aidefence