Create SECURITY.md

SECURITY.md

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+# Security Policy
+
+## Overview
+
+DeepXR is committed to maintaining the security and integrity of the Helion-2.5-Rnd model and its associated infrastructure. This document outlines our security policies, vulnerability reporting procedures, and best practices for secure deployment.
+
+## Supported Versions
+
+Security updates and patches are provided for the following versions:
+
+| Version | Supported          | Status |
+| ------- | ------------------ | ------ |
+| 2.5.x   | :white_check_mark: | Active |
+| 2.4.x   | :x:                | EOL    |
+| < 2.4   | :x:                | EOL    |
+
+## Security Features
+
+### Model Security
+
+1. **SafeTensors Format**
+   - All model weights are stored using SafeTensors format
+   - Prevents arbitrary code execution during model loading
+   - Validates tensor metadata and structure
+   - Faster and safer than pickle-based formats
+
+2. **Weight Integrity**
+   - SHA256 checksums provided for all model files
+   - Verify file integrity before loading
+   - Detect tampering or corruption
+
+3. **No Quantization**
+   - Model provided in full precision (BF16/FP16)
+   - Eliminates quantization-related vulnerabilities
+   - Maintains deterministic behavior
+
+### Inference Security
+
+1. **Input Validation**
+   - Maximum token length enforcement
+   - Character encoding validation
+   - Malicious pattern detection
+   - Rate limiting per client
+
+2. **Output Filtering**
+   - Content safety filters
+   - PII detection and redaction
+   - Toxicity monitoring
+   - Prompt injection detection
+
+3. **API Security**
+   - TLS 1.3 encryption for all communications
+   - API key authentication
+   - Request signature verification
+   - CORS policy enforcement
+
+## Reporting a Vulnerability
+
+### How to Report
+
+If you discover a security vulnerability in Helion-2.5-Rnd, please report it responsibly:
+
+1. **DO NOT** create a public GitHub issue
+2. Email security@deepxr.ai with details
+3. Include:
+   - Description of the vulnerability
+   - Steps to reproduce
+   - Potential impact assessment
+   - Suggested mitigation (if any)
+
+### What to Expect
+
+- **Initial Response**: Within 48 hours
+- **Status Update**: Within 7 days
+- **Resolution Timeline**: Varies by severity
+  - Critical: 1-7 days
+  - High: 7-30 days
+  - Medium: 30-90 days
+  - Low: 90+ days
+
+### Disclosure Policy
+
+- We follow coordinated disclosure principles
+- Security advisories published after patches are available
+- Credit given to reporters (unless anonymous preferred)
+- CVE IDs assigned for significant vulnerabilities
+
+## Security Best Practices
+
+### Deployment Security
+
+#### Network Security
+
+```yaml
+# Example: Secure nginx configuration
+server {
+    listen 443 ssl http2;
+    ssl_protocols TLSv1.3;
+    ssl_ciphers HIGH:!aNULL:!MD5;
+    ssl_prefer_server_ciphers on;
+    
+    # Security headers
+    add_header Strict-Transport-Security "max-age=31536000" always;
+    add_header X-Frame-Options "SAMEORIGIN" always;
+    add_header X-Content-Type-Options "nosniff" always;
+    add_header X-XSS-Protection "1; mode=block" always;
+}
+```
+
+#### Docker Security
+
+```dockerfile
+# Use non-root user
+RUN useradd -m -u 1000 helion
+USER helion
+
+# Read-only root filesystem
+docker run --read-only --tmpfs /tmp:rw,noexec,nosuid
+
+# Drop capabilities
+docker run --cap-drop=ALL --cap-add=NET_BIND_SERVICE
+
+# Resource limits
+docker run --memory="256g" --cpus="64"
+```
+
+#### Kubernetes Security
+
+```yaml
+apiVersion: v1
+kind: Pod
+metadata:
+  name: helion-pod
+spec:
+  securityContext:
+    runAsNonRoot: true
+    runAsUser: 1000
+    fsGroup: 1000
+  containers:
+  - name: helion
+    securityContext:
+      allowPrivilegeEscalation: false
+      readOnlyRootFilesystem: true
+      capabilities:
+        drop:
+        - ALL
+```
+
+### Input Validation
+
+#### Python Implementation
+
+```python
+import re
+from typing import Optional
+
+class InputValidator:
+    """Validate and sanitize user inputs"""
+    
+    MAX_LENGTH = 131072
+    MAX_TOKENS = 8192
+    
+    @staticmethod
+    def validate_prompt(prompt: str) -> tuple[bool, Optional[str]]:
+        """Validate prompt input"""
+        
+        # Length check
+        if len(prompt) > InputValidator.MAX_LENGTH:
+            return False, "Prompt exceeds maximum length"
+        
+        # Character validation
+        if not prompt.isprintable() and not prompt.isspace():
+            return False, "Prompt contains invalid characters"
+        
+        # Injection detection
+        dangerous_patterns = [
+            r'<script',
+            r'javascript:',
+            r'on\w+\s*=',
+            r'\beval\(',
+            r'\bexec\(',
+        ]
+        
+        for pattern in dangerous_patterns:
+            if re.search(pattern, prompt, re.IGNORECASE):
+                return False, "Potential injection detected"
+        
+        return True, None
+    
+    @staticmethod
+    def sanitize_output(text: str) -> str:
+        """Sanitize model output"""
+        # Remove potential XSS vectors
+        text = re.sub(r'<script.*?</script>', '', text, flags=re.DOTALL | re.IGNORECASE)
+        text = re.sub(r'javascript:', '', text, flags=re.IGNORECASE)
+        return text
+```
+
+### Authentication
+
+#### API Key Management
+
+```python
+import secrets
+import hashlib
+from datetime import datetime, timedelta
+
+class APIKeyManager:
+    """Secure API key management"""
+    
+    @staticmethod
+    def generate_key() -> str:
+        """Generate cryptographically secure API key"""
+        return secrets.token_urlsafe(32)
+    
+    @staticmethod
+    def hash_key(key: str) -> str:
+        """Hash API key for storage"""
+        return hashlib.sha256(key.encode()).hexdigest()
+    
+    @staticmethod
+    def verify_key(key: str, stored_hash: str) -> bool:
+        """Verify API key against stored hash"""
+        return hashlib.sha256(key.encode()).hexdigest() == stored_hash
+```
+
+### Rate Limiting
+
+```python
+from collections import defaultdict
+from time import time
+
+class RateLimiter:
+    """Token bucket rate limiter"""
+    
+    def __init__(self, requests_per_minute: int = 60):
+        self.rate = requests_per_minute / 60.0
+        self.buckets = defaultdict(lambda: {'tokens': requests_per_minute, 'last': time()})
+    
+    def allow_request(self, client_id: str) -> bool:
+        """Check if request is allowed"""
+        bucket = self.buckets[client_id]
+        now = time()
+        
+        # Add tokens based on elapsed time
+        elapsed = now - bucket['last']
+        bucket['tokens'] = min(
+            self.rate * 60,
+            bucket['tokens'] + elapsed * self.rate
+        )
+        bucket['last'] = now
+        
+        # Check if request allowed
+        if bucket['tokens'] >= 1:
+            bucket['tokens'] -= 1
+            return True
+        return False
+```
+
+## Content Safety
+
+### Filtering Implementation
+
+```python
+import re
+from typing import List, Tuple
+
+class ContentFilter:
+    """Content safety filtering"""
+    
+    # Configurable toxicity patterns
+    TOXIC_PATTERNS = [
+        r'\b(violence|harm|kill|attack)\b',
+        r'\b(hate|racist|sexist)\b',
+        r'\b(illegal|unlawful|criminal)\b',
+    ]
+    
+    # PII patterns
+    PII_PATTERNS = {
+        'email': r'\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Z|a-z]{2,}\b',
+        'ssn': r'\b\d{3}-\d{2}-\d{4}\b',
+        'phone': r'\b\d{3}[-.]?\d{3}[-.]?\d{4}\b',
+        'credit_card': r'\b\d{4}[-\s]?\d{4}[-\s]?\d{4}[-\s]?\d{4}\b',
+    }
+    
+    @classmethod
+    def check_toxicity(cls, text: str) -> Tuple[bool, List[str]]:
+        """Check for toxic content"""
+        violations = []
+        
+        for pattern in cls.TOXIC_PATTERNS:
+            if re.search(pattern, text, re.IGNORECASE):
+                violations.append(pattern)
+        
+        return len(violations) == 0, violations
+    
+    @classmethod
+    def detect_pii(cls, text: str) -> List[str]:
+        """Detect personally identifiable information"""
+        found_pii = []
+        
+        for pii_type, pattern in cls.PII_PATTERNS.items():
+            if re.search(pattern, text):
+                found_pii.append(pii_type)
+        
+        return found_pii
+    
+    @classmethod
+    def redact_pii(cls, text: str) -> str:
+        """Redact PII from text"""
+        for pii_type, pattern in cls.PII_PATTERNS.items():
+            text = re.sub(pattern, f'[REDACTED_{pii_type.upper()}]', text)
+        
+        return text
+```
+
+## Monitoring and Auditing
+
+### Security Logging
+
+```python
+import logging
+import json
+from datetime import datetime
+
+class SecurityLogger:
+    """Security event logging"""
+    
+    def __init__(self, log_file: str = "security.log"):
+        self.logger = logging.getLogger("security")
+        handler = logging.FileHandler(log_file)
+        handler.setFormatter(logging.Formatter('%(message)s'))
+        self.logger.addHandler(handler)
+        self.logger.setLevel(logging.INFO)
+    
+    def log_event(self, event_type: str, details: dict):
+        """Log security event"""
+        event = {
+            'timestamp': datetime.utcnow().isoformat(),
+            'type': event_type,
+            'details': details
+        }
+        self.logger.info(json.dumps(event))
+    
+    def log_authentication(self, client_id: str, success: bool):
+        """Log authentication attempt"""
+        self.log_event('authentication', {
+            'client_id': client_id,
+            'success': success
+        })
+    
+    def log_violation(self, client_id: str, violation_type: str, details: str):
+        """Log security violation"""
+        self.log_event('violation', {
+            'client_id': client_id,
+            'violation_type': violation_type,
+            'details': details
+        })
+```
+
+## Incident Response
+
+### Response Procedure
+
+1. **Detection**: Identify security incident
+2. **Containment**: Isolate affected systems
+3. **Investigation**: Determine scope and impact
+4. **Remediation**: Apply fixes and patches
+5. **Recovery**: Restore normal operations
+6. **Review**: Post-incident analysis
+
+### Contact Information
+
+- **Security Team**: security@deepxr.ai
+- **Emergency**: +1-555-DEEPXR-SEC
+- **PGP Key**: Available at https://deepxr.ai/pgp-key.asc
+
+## Compliance
+
+### Standards Adherence
+
+- **OWASP Top 10**: Protection against common vulnerabilities
+- **CWE/SANS Top 25**: Mitigation of dangerous software errors
+- **NIST Cybersecurity Framework**: Aligned with framework guidelines
+- **ISO 27001**: Information security management
+
+### Data Privacy
+
+- **GDPR Compliance**: EU data protection regulation
+- **CCPA Compliance**: California Consumer Privacy Act
+- **Data Minimization**: Collect only necessary information
+- **Right to Erasure**: Support for data deletion requests
+
+## Updates
+
+This security policy is reviewed quarterly and updated as needed. Last updated: 2025-01-30
+
+## Acknowledgments
+
+We thank the security research community for responsible disclosure and continuous improvement of our security posture.
+
+---
+
+**DeepXR Security Team**  
+security@deepxr.ai  
+https://deepxr.ai/security