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Security: Smart-AI-Memory/empathy-framework

Security

SECURITY.md

Security Policy

Supported Versions

We release patches for security vulnerabilities in the following versions:

Version Supported
1.6.8 ✅
1.x.x ✅
< 1.0 ❌

Reporting a Vulnerability

The Empathy Framework team takes security vulnerabilities seriously. We appreciate your efforts to responsibly disclose your findings.

How to Report

Please DO NOT report security vulnerabilities through public GitHub issues.

Instead, please report security vulnerabilities to:

What to Include

Please include the following information in your report:

  • Type of vulnerability (e.g., SQL injection, XSS, authentication bypass)
  • Full path of source file(s) related to the vulnerability
  • Location of the affected source code (tag/branch/commit or direct URL)
  • Step-by-step instructions to reproduce the issue
  • Proof-of-concept or exploit code (if possible)
  • Impact of the vulnerability and potential attack scenarios

Response Timeline

  • Acknowledgment: Within 24-48 hours of your report
  • Initial Assessment: Within 5 business days
  • Security Fix: Within 7 days for critical vulnerabilities
  • Detailed Response: Within 10 business days with our evaluation and timeline
  • Fix & Disclosure: Coordinated disclosure after patch is released

Our Commitment

  • We will respond to your report promptly and keep you informed throughout the process
  • We will credit you in the security advisory (unless you prefer to remain anonymous)
  • We will not take legal action against researchers who follow this policy
  • We will work with you to understand and resolve the issue quickly

Security Best Practices for Users

When Using Empathy Framework

  1. Keep Dependencies Updated: Regularly update the Empathy Framework and all dependencies

    pip install --upgrade empathy-framework
pip install --upgrade -r requirements.txt

  2. Validate AI Model Outputs: Never execute AI-generated code without human review, especially:

    • Database queries
    • System commands
    • File operations
    • API calls with sensitive data

  3. Protect API Keys: Never commit API keys for AI services (Anthropic, OpenAI) to version control

    • Use environment variables: ANTHROPIC_API_KEY, OPENAI_API_KEY
    • Use .env files with .gitignore
    • Rotate keys if accidentally exposed

  4. Code Analysis Privacy: Be aware that code sent to wizards may be transmitted to AI services

    • Review privacy policies of AI providers
    • Use local models for sensitive code
    • Sanitize proprietary code before analysis

  5. Access Control: For healthcare applications (HIPAA compliance):

    • Ensure PHI/PII is never sent to AI services
    • Use on-premises deployment for sensitive environments
    • Implement audit logging for all AI interactions

When Integrating Empathy Framework

  1. Input Validation: Always validate and sanitize user input before passing to wizards
  2. Rate Limiting: Implement rate limiting to prevent abuse of AI services
  3. Error Handling: Don't expose internal error messages to end users
  4. Logging: Log security events but never log sensitive data or API keys
  5. Least Privilege: Run services with minimum required permissions

Security Features

The Empathy Framework includes several security features:

  1. Input Sanitization: All code inputs are sanitized before analysis
  2. Sandboxed Execution: No arbitrary code execution in wizards
  3. API Key Protection: Environment variable-based configuration
  4. Audit Trail: Optional logging of all wizard invocations
  5. Rate Limiting: Built-in protection against service abuse

Known Security Considerations

AI Model Risks

  • Prompt Injection: AI models may be susceptible to prompt injection attacks

    • Mitigation: We use structured prompts with clear boundaries
    • Best Practice: Review all AI outputs before implementation

  • Data Privacy: Code analyzed by wizards is sent to AI services

    • Mitigation: Use local models for sensitive code
    • Best Practice: Sanitize proprietary code before analysis

  • Model Hallucinations: AI models may generate incorrect security advice

    • Mitigation: All suggestions include confidence scores
    • Best Practice: Always validate AI recommendations with security experts

Healthcare-Specific Risks (HIPAA/GDPR)

  • PHI Exposure: Patient health information must never be sent to external AI services
    • Mitigation: Use on-premises deployment
    • Best Practice: Implement data anonymization pipelines

Security Updates

We publish security advisories at:

Bug Bounty Program

Currently, we do not offer a paid bug bounty program. However:

  • We publicly acknowledge security researchers (with permission)
  • We provide attribution in CVE credits and release notes
  • We may offer swag or free licenses for significant findings

Compliance

The Empathy Framework is designed to support:

  • HIPAA compliance for healthcare applications
  • GDPR compliance for European users
  • SOC 2 requirements for enterprise customers
  • ISO 27001 information security standards

See our Compliance Documentation for detailed guidance. 34E6

Contact

For security concerns, contact:

Last Updated: January 2025

Thank you for helping keep Empathy Framework and our users safe!

There aren’t any published security advisories

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