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