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This document provides a comprehensive overview of the security architecture, practices, and procedures implemented in the AI Knowledge Website system.
# Security Overview
This document provides a comprehensive overview of the security architecture, practices, and procedures implemented in the AI Knowledge Website system.
## Table of Contents
1. [Security Architecture](#security-architecture)
2. [Authentication and Authorization](#authentication-and-authorization)
3. [Data Protection](#data-protection)
4. [Network Security](#network-security)
5. [Application Security](#application-security)
6. [Infrastructure Security](#infrastructure-security)
7. [Monitoring and Incident Response](#monitoring-and-incident-response)
8. [Compliance and Governance](#compliance-and-governance)
9. [Security Policies](#security-policies)
10. [Threat Model](#threat-model)
## Security Architecture
### Zero-Trust Security Model
The AI Knowledge Website implements a zero-trust security architecture with the following principles:
- **Never Trust, Always Verify**: All requests are authenticated and authorized
- **Principle of Least Privilege**: Minimal access rights for users and systems
- **Defense in Depth**: Multiple layers of security controls
- **Assume Breach**: Design for containment and rapid response
### Security Layers
```
┌─────────────────────────────────────────────────────────────────┐
│ Edge Security │
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │
│ │ CDN/WAF │ │ Rate Limiting │ │ DDoS Protection│ │
│ └─────────────────┘ └─────────────────┘ └─────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ Application Security │
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │
│ │ Authentication │ │ Authorization │ │ Input Validation│ │
│ └─────────────────┘ └─────────────────┘ └─────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ Data Security │
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │
│ │ Encryption │ │ Data Masking │ │ Access Logging │ │
│ └─────────────────┘ └─────────────────┘ └─────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
┌─────────────────────────────────────────────────────────────────┐
│ Infrastructure Security │
│ ┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐ │
│ │ Network Security│ │ Container Security│ │ Secrets Mgmt │ │
│ └─────────────────┘ └─────────────────┘ └─────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
```
## Authentication and Authorization
### API Authentication
**JWT Token-Based Authentication:**
```python
# Token structure
{
"sub": "user_id",
"role": "admin|editor|reader",
"permissions": ["content:read", "content:write", "pipeline:execute"],
"exp": 1704067200,
"iat": 1704063600,
"iss": "ai-knowledge-api"
}
```
**Token Management:**
- Access tokens: 1-hour expiration
- Refresh tokens: 30-day expiration with rotation
- API keys: Long-lived for service-to-service communication
- Token revocation support for compromised credentials
### Role-Based Access Control (RBAC)
| Role | Permissions | Use Case |
|------|-------------|----------|
| **Super Admin** | All permissions | System administration |
| **Admin** | Content, pipeline, config management | Content administrators |
| **Editor** | Content creation, editing, publishing | Content creators |
| **Pipeline** | Pipeline execution, status monitoring | Automated systems |
| **Reader** | Read-only access to published content | Public API consumers |
### Permission System
```yaml
permissions:
content:
- read: Access to published content
- write: Create and edit content
- delete: Remove content items
- publish: Publish draft content
pipeline:
- execute: Run pipeline jobs
- monitor: View pipeline status
- configure: Modify pipeline settings
admin:
- users: Manage user accounts
- system: System configuration
- security: Security settings
```
## Data Protection
### Data Classification
**Classification Levels:**
1. **Public**: Published content, API documentation
2. **Internal**: Processing metadata, system logs
3. **Confidential**: User data, API keys, configuration
4. **Restricted**: Security keys, personal identifiers
### Encryption Standards
**Data at Rest:**
- Database: AES-256 encryption with key rotation
- File storage: AES-256 encryption with customer-managed keys
- Backups: Encrypted with separate key hierarchy
**Data in Transit:**
- TLS 1.3 for all external communications
- mTLS for service-to-service communication
- Certificate pinning for critical connections
**Key Management:**
- AWS KMS/Google Cloud KMS for key management
- Hardware Security Modules (HSM) for key storage
- Automated key rotation every 90 days
- Separate keys per environment and data type
### Data Loss Prevention (DLP)
**Content Scanning:**
- Automated detection of sensitive data patterns
- PII detection and redaction in logs
- API key detection and alerting
- Credit card and social security number detection
**Data Handling Policies:**
- No sensitive data in logs or error messages
- Automatic data retention and deletion
- Data minimization principles
- Privacy-by-design architecture
## Network Security
### Network Architecture
**Network Segmentation:**
```
Internet → WAF → Load Balancer → DMZ → Internal Network
↓
Application Layer
↓
Database Layer (Private Subnet)
```
**Security Controls:**
- Web Application Firewall (WAF) with OWASP rule sets
- Network ACLs and security groups
- VPC isolation with private subnets
- Egress filtering and monitoring
### API Security
**Rate Limiting:**
```python
# Rate limiting tiers
RATE_LIMITS = {
'public_api': '100/hour',
'authenticated_api': '1000/hour',
'premium_api': '10000/hour',
'pipeline_api': '100/minute'
}
# Adaptive rate limiting based on behavior
ADAPTIVE_LIMITS = {
'suspicious_behavior': '10/hour',
'failed_authentication': '5/hour',
'known_good_client': '2000/hour'
}
```
**Input Validation:**
- Comprehensive input sanitization
- SQL injection prevention
- XSS protection with CSP headers
- File upload restrictions and scanning
- Request size limits and timeout controls
## Application Security
### Secure Coding Practices
**Input Validation:**
```python
from pydantic import BaseModel, validator
import bleach
class ContentInput(BaseModel):
title: str
content: str
@validator('title')
def validate_title(cls, v):
# Sanitize HTML and prevent XSS
return bleach.clean(v, tags=[], strip=True)[:200]
@validator('content')
def validate_content(cls, v):
# Allow safe HTML tags only
allowed_tags = ['p', 'br', 'strong', 'em', 'ul', 'ol', 'li']
return bleach.clean(v, tags=allowed_tags, strip=True)
```
**SQL Injection Prevention:**
```python
# Good: Parameterized queries
def get_content_by_id(content_id: str) -> Optional[Content]:
query = """
SELECT * FROM content_items
WHERE id = %s AND status = 'published'
"""
return session.execute(query, (content_id,)).fetchone()
# Avoid: String concatenation (vulnerable to injection)
# query = f"SELECT * FROM content_items WHERE id = '{content_id}'"
```
### Content Security Policy (CSP)
```javascript
// CSP Header Configuration
const cspDirectives = {
'default-src': ["'self'"],
'script-src': ["'self'", "'unsafe-inline'", 'https://cdnjs.cloudflare.com'],
'style-src': ["'self'", "'unsafe-inline'", 'https://fonts.googleapis.com'],
'img-src': ["'self'", 'data:', 'https:'],
'font-src': ["'self'", 'https://fonts.gstatic.com'],
'connect-src': ["'self'", 'https://api.ai-knowledge.org'],
'frame-ancestors': ["'none'"],
'base-uri': ["'self'"],
'object-src': ["'none'"]
};
```
### Security Headers
```http
# Standard security headers
Strict-Transport-Security: max-age=31536000; includeSubDomains; preload
X-Content-Type-Options: nosniff
X-Frame-Options: DENY
X-XSS-Protection: 1; mode=block
Referrer-Policy: strict-origin-when-cross-origin
Permissions-Policy: geolocation=(), microphone=(), camera=()
```
## Infrastructure Security
### Container Security
**Image Security:**
```dockerfile
# Use minimal base images
FROM python:3.11-slim
# Run as non-root user
RUN groupadd -r appuser && useradd -r -g appuser appuser
USER appuser
# Scan for vulnerabilities
# docker scout cve ai-knowledge/pipeline:latest
```
**Runtime Security:**
- Read-only root filesystems
- No privileged containers
- Resource limits and quotas
- Security contexts and pod security policies
### Kubernetes Security
**Pod Security Standards:**
```yaml
apiVersion: v1
kind: Pod
metadata:
name: ai-knowledge-pipeline
spec:
securityContext:
runAsNonRoot: true
runAsUser: 1000
fsGroup: 2000
containers:
- name: pipeline
securityContext:
allowPrivilegeEscalation: false
readOnlyRootFilesystem: true
capabilities:
drop:
- ALL
```
**Network Policies:**
```yaml
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: ai-knowledge-network-policy
spec:
podSelector:
matchLabels:
app: ai-knowledge
policyTypes:
- Ingress
- Egress
ingress:
- from:
- podSelector:
matchLabels:
role: frontend
egress:
- to:
- podSelector:
matchLabels:
role: database
```
### Secrets Management
**Kubernetes Secrets:**
```yaml
apiVersion: v1
kind: Secret
metadata:
name: ai-knowledge-secrets
type: Opaque
data:
database-url: <base64-encoded-value>
api-key: <base64-encoded-value>
```
**External Secrets Integration:**
- AWS Secrets Manager / Google Secret Manager
- HashiCorp Vault integration
- Automatic secret rotation
- Audit trails for secret access
## Monitoring and Incident Response
### Security Monitoring
**Log Monitoring:**
```python
# Security event logging
import structlog
security_logger = structlog.get_logger("security")
def log_authentication_attempt(username: str, success: bool, ip_address: str):
security_logger.info(
"authentication_attempt",
username=username,
success=success,
ip_address=ip_address,
event_type="auth",
severity="medium" if not success else "low"
)
```
**Metrics and Alerting:**
- Failed authentication attempts
- Unusual traffic patterns
- Privilege escalation attempts
- Data exfiltration indicators
- Security policy violations
### Intrusion Detection
**Application-Level Detection:**
- Anomalous API usage patterns
- Suspicious user behavior
- Automated attack signatures
- Business logic violations
**Infrastructure-Level Detection:**
- Network traffic anomalies
- Process execution monitoring
- File integrity monitoring
- Container runtime security
## Compliance and Governance
### Regulatory Compliance
**GDPR Compliance:**
- Data subject rights implementation
- Privacy by design principles
- Data Processing Records (ROPA)
- Data Protection Impact Assessments (DPIA)
**SOC 2 Type II:**
- Security controls documentation
- Operational effectiveness testing
- Continuous monitoring programs
- Annual compliance audits
### Data Governance
**Data Retention:**
```python
# Automated data retention policies
RETENTION_POLICIES = {
'user_data': timedelta(days=2555), # 7 years
'access_logs': timedelta(days=90), # 90 days
'audit_logs': timedelta(days=2555), # 7 years
'content_snapshots': timedelta(days=365) # 1 year
}
```
**Data Subject Rights:**
- Right to access personal data
- Right to rectification
- Right to erasure (right to be forgotten)
- Right to data portability
- Right to object to processing
## Security Policies
### Password Policy
**Requirements:**
- Minimum 12 characters
- Must include uppercase, lowercase, numbers, symbols
- No common passwords or personal information
- Password rotation every 90 days
- No password reuse (last 12 passwords)
### Access Control Policy
**Principles:**
- Principle of least privilege
- Regular access reviews (quarterly)
- Immediate revocation upon termination
- Multi-factor authentication for all accounts
- Privileged access monitoring
### Incident Response Policy
**Response Levels:**
| Level | Response Time | Escalation |
|-------|---------------|------------|
| Critical | 15 minutes | CISO, Legal |
| High | 1 hour | Security Team |
| Medium | 4 hours | DevOps Team |
| Low | 24 hours | Developer |
## Threat Model
### Threat Actors
**External Threats:**
- Script kiddies: Automated scanning and exploitation
- Criminal organizations: Data theft and ransomware
- Nation-state actors: Advanced persistent threats
- Competitors: Industrial espionage
**Internal Threats:**
- Malicious insiders: Privilege abuse
- Negligent employees: Accidental exposure
- Compromised accounts: Lateral movement
- Third-party vendors: Supply chain attacks
### Attack Vectors
**Most Likely Threats:**
1. **Web Application Attacks (High)**
- SQL injection
- Cross-site scripting (XSS)
- Authentication bypass
- Business logic flaws
2. **API Abuse (Medium)**
- Rate limit bypass
- Data scraping
- Authentication token theft
- Parameter pollution
3. **Infrastructure Attacks (Medium)**
- Container escape
- Kubernetes privilege escalation
- Network lateral movement
- Credential theft
### Risk Assessment
**Risk Matrix:**
| Threat | Likelihood | Impact | Risk Level | Mitigation |
|--------|------------|--------|------------|------------|
| Data Breach | Medium | High | High | Encryption, Access Controls |
| DDoS Attack | High | Medium | High | CDN, Rate Limiting |
| API Abuse | High | Low | Medium | Authentication, Monitoring |
| Insider Threat | Low | High | Medium | Access Reviews, Monitoring |
## Security Testing
### Automated Security Testing
**Static Application Security Testing (SAST):**
```yaml
# GitHub Actions security scan
- name: Run Bandit Security Check
run: |
pip install bandit
bandit -r pipelines/ -f json -o bandit-report.json
- name: Run Semgrep SAST
uses: returntocorp/semgrep-action@v1
with:
config: >-
p/security-audit
p/secrets
```
**Dynamic Application Security Testing (DAST):**
- OWASP ZAP integration in CI/CD
- Regular penetration testing
- API security testing
- Container vulnerability scanning
### Manual Security Testing
**Quarterly Security Reviews:**
- Code review for security issues
- Architecture review for security flaws
- Configuration review for misconfigurations
- Access control review for violations
## Incident Response Procedures
### Immediate Response (0-15 minutes)
1. **Detect and Assess**
- Automated alerting triggers
- Initial severity assessment
- Stakeholder notification
2. **Contain**
- Isolate affected systems
- Preserve evidence
- Prevent further damage
### Short-term Response (15 minutes - 4 hours)
1. **Investigate**
- Root cause analysis
- Impact assessment
- Evidence collection
2. **Communicate**
- Internal stakeholder updates
- Customer notification (if required)
- Regulatory reporting (if required)
### Recovery and Lessons Learned (4+ hours)
1. **Recover**
- System restoration
- Service validation
- Performance monitoring
2. **Learn**
- Post-incident review
- Process improvements
- Security control updates
---
**Security Contacts:**
- **Security Team**: [email protected]
- **Incident Response**: [email protected]
- **Emergency**: +1-XXX-XXX-XXXX (24/7 security hotline)
**Last Updated**: January 2024
**Classification**: Internal
**Review Cycle**: Quarterly<img src="https://gfassets.fra1.cdn.digitaloceanspaces.com/logo/logo-mono.png" /><br /><br />
[](https://www.python.org/downloads/)
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