• Supported Versions
• Reporting a Vulnerability
• Security Features
• Best Practices
• Compliance
• Security Modules
• Threat Model
• Incident Response

We actively maintain security updates for the following versions:

• Critical Security Issues: Patched within 48 hours
• High Severity Issues: Patched within 7 days
• Medium/Low Severity: Included in next minor release

DO NOT open public GitHub issues for security vulnerabilities.

Instead, report security vulnerabilities to: security@ai-shell.dev

Please provide the following information:

1. Description: Detailed description of the vulnerability
2. Impact: Potential impact and severity assessment
3. Reproduction: Step-by-step instructions to reproduce the issue
4. Environment: Version, OS, configuration details
5. Proof of Concept: Code or commands demonstrating the vulnerability (if applicable)
6. Suggested Fix: Your recommendations for remediation (if available)

• Initial Response: Within 24 hours
• Triage & Assessment: Within 72 hours
• Status Updates: Every 7 days until resolution
• Fix Timeline: Based on severity (see above)

We follow coordinated disclosure:

1. Report Received: We acknowledge your report
2. Investigation: We investigate and validate the issue
3. Fix Development: We develop and test a fix
4. Release: We release the fix to supported versions
5. Public Disclosure: 30 days after release (or as agreed)

We currently do not offer a bug bounty program but greatly appreciate responsible disclosure.

AI-Shell includes active SQL injection prevention:

// All queries are automatically analyzed for injection risks
const riskLevel = sqlSecurityAnalyzer.analyzeRisk(query);
if (riskLevel === 'CRITICAL') {
  throw new SecurityError('SQL injection risk detected');
}

Features:

• Pattern-based injection detection
• Prepared statement enforcement
• Query parameterization
• Input sanitization
• Real-time risk assessment

• Algorithm: AES-256-GCM
• Key Derivation: PBKDF2 with 100,000 iterations
• Salt: Unique random salt per encryption

// Vault credentials are encrypted by default
await vault.store('db-password', password, { encrypt: true });

• TLS 1.2+ required for all connections
• Support for custom CA certificates
• Certificate pinning available

// Define roles and permissions
const roles = {
  admin: ['read', 'write', 'delete', 'admin'],
  developer: ['read', 'write'],
  analyst: ['read']
};

Built-in Roles:

• admin: Full access to all operations
• developer: Read/write access, no administrative functions
• analyst: Read-only access
• viewer: Limited read access

• Secure session tokens (256-bit random)
• Configurable session timeout (default: 1 hour)
• Automatic session invalidation
• Concurrent session limits

Comprehensive audit trail for all operations:

// All database operations are logged
{
  timestamp: '2025-10-28T12:00:00Z',
  user: 'admin',
  operation: 'query',
  query: 'SELECT * FROM users',
  result: 'success',
  affectedRows: 42,
  ip: '192.168.1.100',
  sessionId: 'abc123'
}

Logged Events:

• Authentication attempts (success/failure)
• Database connections/disconnections
• Query executions
• Configuration changes
• Permission modifications
• Error events
• Security alerts

All user input is validated and sanitized:

// Schema-based validation
const validation = {
  connectionString: /^(postgres|mysql|mongodb|redis):\/\/.+$/,
  queryTimeout: { type: 'number', min: 0, max: 300000 },
  poolSize: { type: 'number', min: 1, max: 100 }
};

Automatic detection and redaction of sensitive data:

// PII is automatically detected and can be redacted
const piiDetector = new PIIDetector();
const redacted = piiDetector.redact(data, {
  email: true,
  ssn: true,
  creditCard: true,
  phone: true
});

Detected PII Types:

• Email addresses
• Social Security Numbers (SSN)
• Credit card numbers
• Phone numbers
• IP addresses (optional)
• Custom patterns

Prevent abuse and DoS attacks:

// Rate limiting configuration
const rateLimiter = {
  windowMs: 15 * 60 * 1000, // 15 minutes
  maxRequests: 100,
  maxConcurrent: 10
};

Encrypted credential management:

# Store credentials securely
ai-shell vault-add prod-db "password123" --encrypt

# Credentials are encrypted with AES-256
# Master key is derived from system keychain or environment variable

Vault Features:

• AES-256 encryption
• Automatic key rotation
• Secure key derivation
• Integration with system keychain
• Backup and restore capabilities

DO:

# Use vault for credentials
ai-shell vault-add production "secure-password" --encrypt

# Use environment variables
export DATABASE_URL="postgres://..."
ai-shell connect $DATABASE_URL

# Use connection strings without inline passwords
ai-shell connect postgres://user@localhost:5432/db
# (prompts for password securely)

DON'T:

# Never hardcode credentials in scripts
ai-shell connect postgres://user:password@localhost/db  # ❌

# Never commit .env files with secrets
# Never share connection strings in logs/screenshots

Recommendations:

• Use SSL/TLS for all database connections
• Restrict network access to databases (firewall rules)
• Use VPN for remote database access
• Enable connection encryption:

# config.yaml
databases:
  production:
    ssl:
      enabled: true
      rejectUnauthorized: true
      ca: /path/to/ca-cert.pem

Grant minimum required permissions:

// Create read-only database users for analysis
CREATE USER analyst WITH PASSWORD 'secure-password';
GRANT SELECT ON ALL TABLES IN SCHEMA public TO analyst;

// Use separate credentials for different environments
ai-shell connect postgres://analyst@prod/db --name prod-readonly

Safe Practices:

# Always use --dry-run for destructive operations
ai-shell execute "DELETE FROM users" --dry-run

# Review explain plans before execution
ai-shell explain "UPDATE users SET status = 'inactive'"

# Use transactions for data modifications
BEGIN;
UPDATE users SET email = 'new@email.com' WHERE id = 1;
-- Review changes
ROLLBACK;  -- or COMMIT

# Start named sessions for audit trail
ai-shell session start "data-migration-2025-10-28"

# End sessions when done
ai-shell session end

# Review session history
ai-shell session list

// ✅ GOOD: Use parameterized queries
const result = await db.query(
  'SELECT * FROM users WHERE id = $1',
  [userId]
);

// ❌ BAD: String concatenation
const result = await db.query(
  `SELECT * FROM users WHERE id = ${userId}`
);

// ✅ GOOD: Safe error messages
try {
  await db.connect();
} catch (error) {
  logger.error('Database connection failed', {
    error: error.message
  });
  throw new Error('Unable to connect to database');
}

// ❌ BAD: Exposing internals
catch (error) {
  throw new Error(`Connection failed: ${connection.password}`);
}

// ✅ GOOD: Validate all inputs
function validateQuery(query: string): void {
  if (!query || typeof query !== 'string') {
    throw new ValidationError('Invalid query');
  }
  if (query.length > 10000) {
    throw new ValidationError('Query too long');
  }
  // Additional validation...
}

# Regular security audits
npm audit
npm audit fix

# Keep dependencies updated
npm update

# Review dependency licenses
npm run license-checker

AI-Shell supports GDPR compliance through:

1. Data Minimization: Only collect necessary data
2. Right to Erasure: Support for data deletion
3. Data Portability: Export data in standard formats
4. Audit Logging: Comprehensive access logs
5. Encryption: Data at rest and in transit

GDPR Features:

// PII detection and redaction
const piiDetector = new PIIDetector();
piiDetector.scan(data);

// Data export (right to portability)
ai-shell query "SELECT * FROM users WHERE id = $1" --format json

// Data deletion (right to erasure)
ai-shell execute "DELETE FROM users WHERE id = $1" --audit

Compliance support for financial data:

1. Audit Trails: All operations logged with timestamps
2. Access Controls: RBAC and authentication
3. Data Integrity: Transaction support
4. Change Management: Version control for queries

# SOX-compliant audit log
ai-shell audit-show --user admin --from 2025-10-01

# Immutable audit logs
# Logs are append-only and cryptographically signed

For healthcare data:

1. Encryption: AES-256 for PHI
2. Access Logs: Track all PHI access
3. Authentication: Strong user authentication
4. Automatic Logoff: Session timeout

# HIPAA configuration
security:
  encryption:
    enabled: true
    algorithm: aes-256-gcm
  sessionTimeout: 900000  # 15 minutes
  audit:
    enabled: true
    immutable: true

For payment data:

1. Encryption: Strong cryptography
2. Access Control: Least privilege
3. Monitoring: Real-time monitoring
4. Testing: Regular security testing

Note: AI-Shell should NOT be used to store credit card data directly. Use tokenization services.

AI-Shell includes 15 security modules:

• Secure credential storage
• AES-256 encryption
• Key derivation with PBKDF2

• AES-256-GCM encryption
• Secure random number generation
• Key management

• Role-based access control
• Permission management
• User/group management

• Comprehensive logging
• Tamper-evident logs
• Log analysis

• Pattern detection
• Risk analysis
• Query sanitization

• Regex-based detection
• Machine learning detection
• Custom pattern support

• Request rate limiting
• Concurrent connection limits
• Burst protection

• Schema validation
• Type checking
• Sanitization

• Secure session tokens
• Timeout management
• Session tracking

• TLS enforcement
• Certificate validation
• Secure protocols

• Password hashing (bcrypt)
• Multi-factor authentication (planned)
• SSO integration (planned)

• Permission checking
• Resource-based access
• Dynamic policies

• Safe error messages
• Error logging
• Stack trace sanitization

• Configuration validation
• Secret management
• Environment isolation

• Anomaly detection
• Intrusion detection
• Alert system

1. Database Credentials: Passwords, connection strings
2. Database Contents: User data, business data
3. Configuration Files: Settings, secrets
4. Audit Logs: Access history, operations
5. Session Data: Active sessions, tokens

Mitigation:

• Parameterized queries only
• Input validation
• Query analysis
• Whitelist patterns

Mitigation:

• Encrypted storage (vault)
• No plaintext passwords
• Secure key derivation
• Session tokens (not passwords)

Mitigation:

• Authentication required
• RBAC enforcement
• Session management
• Audit logging

Mitigation:

• TLS 1.2+ required
• Certificate validation
• No cleartext protocols

Mitigation:

• Rate limiting
• Connection limits
• Query timeouts
• Resource monitoring

Mitigation:

• PII detection
• Secure logging
• Error message sanitization
• Access controls

Mitigation:

• Least privilege
• Permission validation
• Audit all operations
• Role separation

1. Designate Security Team: Identify responsible personnel
2. Establish Procedures: Document response process
3. Tool Preparation: Ensure tools are ready
4. Training: Regular security training

Monitor for:

• Failed authentication attempts
• Unusual query patterns
• Excessive resource usage
• Security alerts from monitoring

# Check audit logs for anomalies
ai-shell audit-show --limit 1000 | grep FAILED

# Review security scan results
ai-shell security-scan --deep

1. Isolate Affected Systems: Disconnect compromised components
2. Revoke Access: Disable compromised credentials
3. Enable Enhanced Logging: Increase monitoring

# Revoke all sessions
ai-shell session end-all

# Change credentials
ai-shell vault-add prod-db "new-secure-password" --encrypt --force

1. Identify Root Cause: Analyze incident
2. Remove Threat: Eliminate malicious code/access
3. Patch Vulnerabilities: Apply fixes
4. Update Security: Enhance controls

1. Restore Services: Bring systems back online
2. Verify Integrity: Ensure no backdoors
3. Monitor Closely: Watch for recurrence

1. Document Incident: Record details
2. Analyze Response: What worked/didn't work
3. Update Procedures: Improve for next time
4. Share Knowledge: Educate team

• GitHub Security Advisories: https://github.com/your-org/ai-shell/security/advisories
• Email List: security-announce@ai-shell.dev
• RSS Feed: https://ai-shell.dev/security.rss

# Check for updates
npm outdated ai-shell

# Update to latest version
npm update ai-shell

# Verify integrity
npm audit

• Generate strong master encryption key
• Configure vault for credential storage
• Set up TLS certificates for database connections
• Enable audit logging
• Configure session timeouts
• Set up rate limiting
• Review default permissions

• Review audit logs (weekly)
• Rotate credentials (quarterly)
• Update dependencies (monthly)
• Security scan (weekly)
• Backup audit logs (daily)
• Review user permissions (monthly)
• Test incident response (quarterly)

• All credentials in vault (no hardcoded secrets)
• TLS enabled for all connections
• Audit logging enabled
• Rate limiting configured
• Error messages sanitized
• Security scan passed
• Penetration test completed
• Incident response plan documented

• Security Issues: security@ai-shell.dev
• General Support: support@ai-shell.dev
• Website: https://ai-shell.dev
• GitHub: https://github.com/your-org/ai-shell

• OWASP Top 10
• CWE/SANS Top 25
• NIST Cybersecurity Framework
• Database Security Best Practices

Last Updated: October 28, 2025 Version: 1.0.0