N.L.D.S. Security Guide

Overview

This document outlines the comprehensive security framework for the Natural Language Detection System (N.L.D.S.), including protocols, audit requirements, compliance standards, and best practices for secure deployment and operation.

Security Architecture

Multi-Layer Security Model

N.L.D.S. implements a defense-in-depth security architecture:

┌─────────────────────────────────────────────────────────────┐
│                    Application Layer                        │
│  • Input Validation  • Output Sanitization  • Rate Limiting │
├─────────────────────────────────────────────────────────────┤
│                   Authentication Layer                      │
│  • JWT Tokens  • API Keys  • Role-Based Access Control     │
├─────────────────────────────────────────────────────────────┤
│                   Authorization Layer                       │
│  • Permission Validation  • Resource Access Control        │
├─────────────────────────────────────────────────────────────┤
│                    Transport Layer                          │
│  • TLS 1.3  • Certificate Pinning  • HSTS                  │
├─────────────────────────────────────────────────────────────┤
│                      Data Layer                             │
│  • Encryption at Rest  • Key Management  • Data Masking    │
├─────────────────────────────────────────────────────────────┤
│                 Infrastructure Layer                        │
│  • Network Segmentation  • Firewall Rules  • Monitoring    │
└─────────────────────────────────────────────────────────────┘

Security Components

1. Constitutional AI Safety

• Ethical Guidelines: Built-in ethical constraints for AI decision-making

• Bias Detection: Automated bias detection and mitigation

• Content Filtering: Harmful content detection and blocking

• Transparency: Explainable AI decisions with audit trails

2. Input Security

• Injection Prevention: SQL injection, XSS, and command injection protection

• Input Validation: Comprehensive input sanitization and validation

• Rate Limiting: Intelligent rate limiting with DDoS protection

• Content Analysis: Real-time content analysis for malicious patterns

3. Authentication & Authorization

• Multi-Factor Authentication: Support for MFA and SSO integration

• JWT Security: Secure JWT implementation with proper validation

• Role-Based Access Control: Granular permission management

• Session Management: Secure session handling and timeout policies

Authentication Protocols

JWT Token Authentication (Recommended)

Token Structure

{
  "header": {
    "alg": "RS256",
    "typ": "JWT",
    "kid": "key-id-2024"
  },
  "payload": {
    "sub": "user123",
    "iss": "https://auth.jaegis.ai",
    "aud": "https://api.jaegis.ai",
    "exp": 1705329600,
    "iat": 1705326000,
    "roles": ["nlds_user", "api_access"],
    "tier": "premium",
    "permissions": ["process", "batch", "metrics"]
  }
}

Security Requirements

• Algorithm: RS256 (RSA with SHA-256)

• Key Rotation: Automatic key rotation every 90 days

• Expiration: Maximum 24-hour token lifetime

• Validation: Signature, expiration, issuer, and audience validation

• Revocation: Real-time token revocation support

Implementation Example

import jwt
from datetime import datetime, timedelta

def validate_jwt_token(token: str) -> dict:
    try:
        # Decode and validate token
        payload = jwt.decode(
            token,
            public_key,
            algorithms=["RS256"],
            audience="https://api.jaegis.ai",
            issuer="https://auth.jaegis.ai"
        )
        
        # Additional validation
        if payload.get('exp', 0) < datetime.utcnow().timestamp():
            raise jwt.ExpiredSignatureError("Token expired")
            
        return payload
        
    except jwt.InvalidTokenError as e:
        raise AuthenticationError(f"Invalid token: {e}")

API Key Authentication

Key Format

• Length: 64 characters (256-bit entropy)

• Prefix: nlds_ for identification

• Encoding: Base64URL encoding

• Example: nlds_abc123def456ghi789jkl012mno345pqr678stu901vwx234yz567

Security Controls

• Encryption: Keys encrypted at rest using AES-256

• Rotation: Automatic rotation every 180 days

• Scope Limitation: Keys limited to specific endpoints and operations

• Usage Monitoring: Real-time usage tracking and anomaly detection

Authorization Framework

Role-Based Access Control (RBAC)

Standard Roles

Role	Permissions	Description
nlds_viewer	health, metrics	Read-only access to system status
nlds_user	process, batch, profile	Standard processing capabilities
nlds_admin	*	Full administrative access
nlds_developer	process, batch, debug	Development and testing access
nlds_monitor	health, metrics, logs	Monitoring and observability

Permission Matrix

Endpoint	Viewer	User	Developer	Admin
POST /process	❌	✅	✅	✅
POST /batch	❌	✅	✅	✅
GET /health	✅	✅	✅	✅
GET /metrics	✅	✅	✅	✅
GET /user/{id}/profile	❌	✅*	✅	✅
POST /admin/*	❌	❌	❌	✅

*Users can only access their own profile

Dynamic Authorization

def check_authorization(user: User, resource: str, action: str) -> bool:
    # Check role-based permissions
    if not user.has_permission(f"{resource}:{action}"):
        return False
    
    # Check resource-specific access
    if resource.startswith("user/") and action == "read":
        resource_user_id = resource.split("/")[1]
        if user.id != resource_user_id and not user.has_role("admin"):
            return False
    
    # Check rate limiting
    if not check_rate_limit(user.id, action):
        return False
    
    return True

Data Protection

Encryption Standards

Data in Transit

• Protocol: TLS 1.3 minimum

• Cipher Suites: AEAD ciphers only (AES-GCM, ChaCha20-Poly1305)

• Certificate: RSA 2048-bit or ECDSA P-256 minimum

• HSTS: Strict Transport Security enabled

• Certificate Pinning: Public key pinning for critical connections

Data at Rest

• Algorithm: AES-256-GCM

• Key Management: Hardware Security Module (HSM) or AWS KMS

• Key Rotation: Automatic rotation every 365 days

• Backup Encryption: Separate encryption keys for backups

Sensitive Data Handling

Data Type	Classification	Encryption	Retention
User Input	Confidential	AES-256	90 days
API Keys	Secret	AES-256 + HSM	Until revoked
JWT Tokens	Secret	Not stored	N/A
Processing Results	Internal	AES-256	30 days
Audit Logs	Internal	AES-256	7 years
System Metrics	Internal	AES-256	1 year

Data Sanitization

Input Sanitization

import re
from html import escape

def sanitize_input(text: str) -> str:
    # Remove potential script injections
    text = re.sub(r'<script[^>]*>.*?</script>', '', text, flags=re.IGNORECASE | re.DOTALL)
    
    # Escape HTML entities
    text = escape(text)
    
    # Remove SQL injection patterns
    sql_patterns = [
        r"(\b(SELECT|INSERT|UPDATE|DELETE|DROP|CREATE|ALTER)\b)",
        r"(\b(UNION|OR|AND)\s+\d+\s*=\s*\d+)",
        r"(--|#|/\*|\*/)"
    ]
    
    for pattern in sql_patterns:
        text = re.sub(pattern, '', text, flags=re.IGNORECASE)
    
    # Limit length
    return text[:10000]  # Maximum 10,000 characters

Output Sanitization

def sanitize_output(response: dict) -> dict:
    # Remove sensitive fields
    sensitive_fields = ['internal_id', 'debug_info', 'raw_scores']
    
    def remove_sensitive(obj):
        if isinstance(obj, dict):
            return {k: remove_sensitive(v) for k, v in obj.items() 
                   if k not in sensitive_fields}
        elif isinstance(obj, list):
            return [remove_sensitive(item) for item in obj]
        return obj
    
    return remove_sensitive(response)

Audit and Compliance

Audit Logging

Log Categories

Category	Events	Retention	Access
Authentication	Login, logout, token validation	7 years	Security team
Authorization	Permission checks, access denials	7 years	Security team
Data Access	API calls, data retrieval	3 years	Compliance team
System Events	Errors, performance issues	1 year	Operations team
Security Events	Intrusion attempts, anomalies	7 years	Security team

Log Format

{
  "timestamp": "2024-01-15T10:30:00.123Z",
  "event_id": "evt_abc123def456",
  "event_type": "api_request",
  "severity": "info",
  "user_id": "user123",
  "session_id": "session456",
  "source_ip": "192.168.1.100",
  "user_agent": "NLDS-Python-SDK/2.2.0",
  "endpoint": "/api/v2/process",
  "method": "POST",
  "status_code": 200,
  "processing_time_ms": 234.5,
  "request_size_bytes": 1024,
  "response_size_bytes": 2048,
  "confidence_score": 0.89,
  "rate_limit_remaining": 87,
  "security_flags": [],
  "correlation_id": "corr_xyz789"
}

Compliance Standards

SOC 2 Type II Compliance

Control Objectives:

• Security: Logical and physical access controls

• Availability: System availability and performance monitoring

• Processing Integrity: Data processing accuracy and completeness

• Confidentiality: Protection of confidential information

• Privacy: Personal information handling and protection

Implementation:

• Annual third-party audits

• Continuous monitoring and reporting

• Incident response procedures

• Employee security training

GDPR Compliance

Data Subject Rights:

• Right to Access: API endpoint for data retrieval

• Right to Rectification: Data correction mechanisms

• Right to Erasure: Data deletion procedures

• Right to Portability: Data export functionality

• Right to Object: Processing opt-out options

Implementation:

class GDPRCompliance:
    def handle_data_subject_request(self, request_type: str, user_id: str):
        if request_type == "access":
            return self.export_user_data(user_id)
        elif request_type == "deletion":
            return self.delete_user_data(user_id)
        elif request_type == "rectification":
            return self.update_user_data(user_id)
        elif request_type == "portability":
            return self.export_portable_data(user_id)
    
    def delete_user_data(self, user_id: str):
        # Anonymize or delete personal data
        # Maintain audit logs for compliance
        # Notify downstream systems
        pass

Security Monitoring

Real-time Monitoring

Security Metrics

• Authentication Failures: Failed login attempts per minute

• Authorization Violations: Access denied events

• Rate Limit Violations: Requests exceeding limits

• Anomalous Patterns: Unusual usage patterns

• Input Validation Failures: Malicious input attempts

Alerting Thresholds

Metric	Warning	Critical	Action
Auth Failures	>10/min	>50/min	Account lockout
Rate Limit Violations	>5/min	>20/min	IP blocking
Input Validation Failures	>5/min	>15/min	Enhanced monitoring
Anomalous Requests	>10/hour	>50/hour	Security review

Incident Response

Response Procedures

1. Detection: Automated monitoring and alerting

2. Assessment: Severity classification and impact analysis

3. Containment: Immediate threat mitigation

4. Investigation: Root cause analysis and evidence collection

5. Recovery: System restoration and validation

6. Lessons Learned: Post-incident review and improvements

Security Incident Classification

Severity	Description	Response Time	Escalation
Critical	Active attack, data breach	15 minutes	CISO, Legal
High	Security vulnerability, service disruption	1 hour	Security team
Medium	Policy violation, suspicious activity	4 hours	Operations
Low	Minor security event	24 hours	Monitoring

Security Testing

Automated Security Testing

Continuous Security Scanning

• SAST: Static Application Security Testing

• DAST: Dynamic Application Security Testing

• IAST: Interactive Application Security Testing

• SCA: Software Composition Analysis

• Container Scanning: Docker image vulnerability scanning

Penetration Testing Schedule

• Quarterly: Internal penetration testing

• Annually: Third-party penetration testing

• Ad-hoc: After major releases or security incidents

Security Test Cases

class SecurityTestSuite:
    def test_sql_injection_protection(self):
        malicious_inputs = [
            "'; DROP TABLE users; --",
            "' OR '1'='1",
            "' UNION SELECT * FROM passwords --"
        ]
        
        for payload in malicious_inputs:
            response = self.client.post('/process', {
                'input_text': payload
            })
            assert response.status_code != 500
            assert 'error' not in response.json()
    
    def test_xss_protection(self):
        xss_payloads = [
            "<script>alert('xss')</script>",
            "javascript:alert('xss')",
            "<img src=x onerror=alert('xss')>"
        ]
        
        for payload in xss_payloads:
            response = self.client.post('/process', {
                'input_text': payload
            })
            assert payload not in response.text
    
    def test_rate_limiting(self):
        # Test rate limiting enforcement
        for i in range(101):  # Exceed basic tier limit
            response = self.client.post('/process', {
                'input_text': 'test'
            })
        
        assert response.status_code == 429

Deployment Security

Infrastructure Security

Network Security

• VPC: Isolated virtual private cloud

• Subnets: Public and private subnet separation

• Security Groups: Restrictive firewall rules

• NACLs: Network access control lists

• WAF: Web Application Firewall protection

Container Security

• Base Images: Minimal, hardened base images

• Vulnerability Scanning: Automated image scanning

• Runtime Security: Container runtime protection

• Secrets Management: Secure secret injection

• Resource Limits: CPU and memory constraints

Configuration Security

Security Headers

# Nginx security configuration
add_header Strict-Transport-Security "max-age=31536000; includeSubDomains" always;
add_header X-Content-Type-Options "nosniff" always;
add_header X-Frame-Options "DENY" always;
add_header X-XSS-Protection "1; mode=block" always;
add_header Referrer-Policy "strict-origin-when-cross-origin" always;
add_header Content-Security-Policy "default-src 'self'" always;

Environment Variables

# Security-related environment variables
NLDS_JWT_SECRET_KEY="$(openssl rand -base64 32)"
NLDS_ENCRYPTION_KEY="$(openssl rand -base64 32)"
NLDS_DATABASE_URL="postgresql://user:pass@localhost/nlds"
NLDS_REDIS_URL="redis://localhost:6379"
NLDS_LOG_LEVEL="INFO"
NLDS_SECURITY_MODE="strict"

Security Contacts

Reporting Security Issues

• Email: [e-mail]

• PGP Key: Available at https://jaegis.ai/security/pgp

• Response Time: 24 hours for acknowledgment

• Disclosure: Coordinated disclosure process

Security Team

• CISO: Chief Information Security Officer

• Security Engineers: Application and infrastructure security

• Compliance Team: Regulatory compliance and auditing

• Incident Response: 24/7 security incident response

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Document Version: 1.0 Last Updated: January 15, 2024 Next Review: April 15, 2024 Classification: Internal Use