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Security: muhittincamdali/SwiftIntelligence

Security

SECURITY.md

Security Policy

Supported Versions

We actively support the following versions of SwiftIntelligence with security updates:

Version Supported
1.0.x
< 1.0

Reporting a Vulnerability

Quick Guidelines

  • DO NOT create public GitHub issues for security vulnerabilities
  • DO use GitHub Security Advisories for private reporting
  • DO provide detailed information about the vulnerability
  • DO give us reasonable time to fix the issue before public disclosure

How to Report

  1. GitHub Security Advisories (Preferred)

    • Go to the Security tab
    • Click "Report a vulnerability"
    • Fill out the security advisory form
  2. Email (Alternative)

    • Send details to: [email protected]
    • Use PGP encryption if possible (key available on request)

What to Include

Please include the following information:

  • Type of vulnerability (e.g., XSS, data exposure, privilege escalation)
  • Affected component/module (e.g., SwiftIntelligenceNLP, SwiftIntelligenceVision)
  • Attack scenario - How an attacker could exploit this
  • Impact assessment - What data/functionality could be compromised
  • Proof of concept - Steps to reproduce or demonstration code
  • Suggested fix - If you have ideas for remediation

Response Timeline

  • Initial Response: Within 24 hours
  • Vulnerability Assessment: Within 7 days
  • Fix Development: Varies by severity (1-30 days)
  • Security Release: As soon as fix is ready and tested
  • Public Disclosure: 90 days after fix release (negotiable)

Severity Classification

We use the following severity levels:

Critical (CVSS 9.0-10.0)

  • Remote code execution without authentication
  • Complete system compromise
  • Mass data exposure

High (CVSS 7.0-8.9)

  • Privilege escalation
  • Authentication bypass
  • Significant data exposure

Medium (CVSS 4.0-6.9)

  • Local privilege escalation
  • Limited data exposure
  • Denial of service

Low (CVSS 0.1-3.9)

  • Information disclosure
  • Minor functionality bypass

Security Features

SwiftIntelligence includes several security features by design:

Data Protection

  • On-Device Processing: All AI/ML inference happens locally
  • No Data Upload: User data never leaves the device
  • Encrypted Storage: AES-256 encryption for sensitive data
  • Secure Enclaves: Hardware-protected computation when available

Privacy Protection

  • Differential Privacy: Mathematical privacy guarantees
  • Data Minimization: Only collect necessary data
  • Consent Management: Clear user consent for all data usage
  • Right to Delete: Complete data deletion capabilities

Communication Security

  • TLS 1.3: Latest transport layer security
  • Certificate Pinning: Prevent man-in-the-middle attacks
  • Perfect Forward Secrecy: Protect past communications

Code Security

  • Memory Safety: Swift's memory-safe language features
  • Input Validation: All inputs are validated and sanitized
  • Error Handling: Secure error handling that doesn't leak information
  • Regular Audits: Automated and manual security testing

Security Hall of Fame

We recognize security researchers who help improve SwiftIntelligence security:

Be the first to contribute to our security!

Bug Bounty Program

Currently, we don't offer monetary rewards, but we do provide:

  • Public Recognition: Listed in our Security Hall of Fame
  • Early Access: Beta access to new features
  • Swag: SwiftIntelligence branded items
  • CVE Credit: Proper attribution in security advisories

Security Best Practices for Users

For Developers Using SwiftIntelligence

  1. Keep Updated: Always use the latest version
  2. Secure Configuration: Follow our security configuration guide
  3. Input Validation: Validate all user inputs before processing
  4. Error Handling: Don't expose sensitive information in error messages
  5. Access Control: Implement proper authentication and authorization
  6. Audit Logging: Enable security event logging
  7. Network Security: Use HTTPS for all network communications

For Enterprise Users

  1. Security Assessment: Conduct regular security assessments
  2. Compliance: Ensure compliance with relevant regulations (GDPR, HIPAA, etc.)
  3. Network Isolation: Isolate AI/ML processing networks
  4. Access Monitoring: Monitor and log all access to AI/ML systems
  5. Incident Response: Have an incident response plan
  6. Training: Train developers on secure AI/ML practices

Compliance

SwiftIntelligence is designed to help you meet various compliance requirements:

  • GDPR: European data protection regulations
  • CCPA: California consumer privacy act
  • HIPAA: Healthcare information portability and accountability
  • SOC 2: Security and availability controls
  • ISO 27001: Information security management

Contact

For any security-related questions or concerns:


Remember: When in doubt, report it. We'd rather investigate a false positive than miss a real vulnerability.

There aren’t any published security advisories