Information Security Standards

1. Security Approach

Health Copilot AI implements technical and organizational security measures designed to protect customer data against unauthorized access, use, alteration, or disclosure.

Our security program is informed by industry-recognized frameworks, healthcare requirements, cloud security best practices, and AI-specific security considerations. We apply a risk-based approach, implementing controls based on data sensitivity, threat landscape, regulatory requirements, technical feasibility, and operational considerations.

2. Technical Security Controls

2.1 Infrastructure Security

• Secure cloud infrastructure with reputable providers
• Multi-region deployment capabilities for resilience
• Environment separation and network segmentation
• Firewall protection and intrusion detection
• DDoS protection
• Secure administrative access

2.2 Data Protection

• Data encrypted in transit using industry-standard protocols
• Data encrypted at rest using strong encryption algorithms
• Encryption key management and rotation
• Logical separation of customer data
• Multi-tenancy security controls
• Secure data transmission
• Regular encrypted backups
• Secure data deletion procedures

2.3 Access Controls

• Multi-factor authentication for system access
• Role-based access control (RBAC)
• Least-privilege access principles
• Regular access reviews and recertification
• Prompt access revocation upon termination

2.4 Application Security

• Secure development lifecycle practices
• Security code reviews and testing
• Input validation and output encoding
• Protection against common web vulnerabilities
• Regular vulnerability scanning
• Patch management and remediation
• Third-party dependency monitoring

2.5 Security Monitoring

• Continuous security event monitoring
• Automated alerting for suspicious activity
• Comprehensive audit logging
• Log aggregation and analysis
• Threat intelligence integration
• Incident detection and response capabilities

3. AI-Specific Security

Our AI-powered platform implements security measures specific to AI systems:

3.1 Model Security

• Protection against adversarial attacks
• Model access controls and authentication
• Model versioning and integrity verification
• Secure model deployment pipelines

3.2 Training Data Security

• Secure handling and validation of training data
• Protection against data poisoning attacks
• Privacy-preserving techniques in model training
• Data quality and integrity checks

3.3 AI Output Security

• Validation of AI-generated outputs
• Protection against prompt injection attacks
• Monitoring for unexpected outputs
• Human oversight frameworks for AI-assisted decisions

4. Organizational Security Controls

4.1 Personnel Security

• Background checks for personnel with data access
• Security awareness training for all personnel
• Role-specific security training for technical staff
• Confidentiality obligations

4.2 Vendor Security

• Security evaluation of service providers
• Contractual security and privacy requirements
• Ongoing vendor security monitoring

5. Compliance and Standards

We maintain security measures designed to support compliance with applicable healthcare, privacy, and data security regulations. Specific compliance frameworks are addressed in customer agreements as applicable.

Our approach includes:

• HIPAA/HITECH compliance for protected health information
• Business Associate Agreements available for healthcare customers
• Support for state and federal privacy law requirements
• Privacy by design principles
• Data subject rights management

6. Security Testing and Improvement

We conduct regular security testing including vulnerability scanning and application security testing. We may engage third-party assessors for penetration testing and security audits.

We continuously improve security based on threat intelligence, incident analysis, technology updates, and industry best practices.

7. Incident Response

We maintain documented incident response procedures for detecting, containing, and responding to security incidents. See our Incident Response Policy at trust.healthcopilotai.com/incident for details.

8. Shared Responsibility

Health Copilot AI Responsibilities:

• Platform infrastructure and application security
• Data protection within the platform
• Security monitoring and incident response
• Compliance with applicable security standards

Customer Responsibilities:

• User account and credential management
• Appropriate platform use and configuration
• Endpoint device security
• Network security between users and platform
• Timely reporting of security concerns
• Breach determinations and compliance decisions under applicable laws

9. Security Standards Updates

We may update these security standards at any time to address evolving threats, maintain compliance with applicable regulations, incorporate industry best practices, or support new platform capabilities.

Updates become effective when posted with a new version date. Your continued use of our services constitutes acceptance of the updated standards.

We recommend periodically reviewing this document for updates.

10. Security Inquiries

General Security Questions: security@healthcopilotai.com

We appreciate responsible disclosure of security issues.