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Overview

HANA maintains enterprise-grade security standards with comprehensive compliance certifications, including SOC 2 Type II, HIPAA, and GDPR. Our platform leverages cloud infrastructure to provide robust encryption, secure communications, and continuous monitoring, ensuring optimal data protection for healthcare customers.

Compliance Certifications

Security Architecture

Multi-layered Defense Strategy

Our cyber-intelligence framework implements multiple layers of defense to ensure comprehensive protection:
  1. Perimeter Security: Advanced threat detection at network boundaries using intrusion detection/prevention systems
  2. Infrastructure Security: Hardened cloud infrastructure with restricted access controls
  3. Application Security: Secure development practices with regular code audits and vulnerability assessments
  4. Data Security: End-to-end encryption with sophisticated key management
  5. Operational Security: Continuous monitoring with real-time alerts and automated remediation

Data Encryption

All data within the HANA platform is protected using industry-leading encryption standards:
  • Storage Encryption: AES-256 with cloud-managed encryption keys
  • Communication Encryption: TLS 1.3 enforced for all traffic
  • Key Management: Cloud KMS integration with strict access controls
  • PHI Protection: Special handling for protected health information with additional encryption layers

Network Security

  • Protocol Security: HTTPS enforced across all endpoints
  • SSL Configuration: Comprehensive SSL certificate deployment
  • Traffic Protection: End-to-end encrypted communications
  • API Security: Rate limiting, token-based authentication, and request validation

Service Architecture Integration

HANA’s cyber-intelligence capabilities are deeply integrated with our service architecture:
  1. Service Mesh Security: Secure service-to-service communication with mutual TLS
  2. Zero Trust Implementation: Verification of every request regardless of source
  3. Centralized Policy Enforcement: Consistent security policies across all services
  4. Observability: Comprehensive logging and monitoring for security events

AI-Specific Security Controls

Model Safety Mechanisms

HANA implements specialized security controls for AI components:
  1. Input Sanitization: Advanced filtering to prevent prompt injection and other attacks on conversation engine
  2. Output Monitoring: Automated content scanning for sensitive information leakage in voice responses
  3. Runtime Isolation: Containerized execution environments for model inference
  4. Model Versioning: Strict version control with cryptographic verification for all model artifacts
  5. AI Vulnerability Management: Dedicated monitoring for AI-specific threats

LLM Safety Framework

  • Jailbreak Prevention: Constrained generation architecture prevents conversation engine from operating outside protocol boundaries
  • Continuous Validation: Automated testing against known attack vectors for voice AI systems
  • Red Team Exercises: Regular adversarial testing focused on clinical AI vulnerabilities
  • Content Filtering: Multi-stage filtering for harmful or clinically inappropriate outputs

Security Controls Framework

HANA maintains a comprehensive security controls framework across multiple domains: Access Control & Authorization (30+ Controls)
  • Comprehensive access control procedures
  • Infrastructure modification restrictions
  • Regular access reviews and audits
  • Role-based access control with least privilege principles
Data Privacy & Security (60+ Controls)
  • Comprehensive data protection procedures
  • Anonymization and pseudonymization processes
  • Data retention and disposal policies
  • Secure data transfer mechanisms
Risk & Incident Management (30+ Controls)
  • Incident response procedures
  • Risk assessment frameworks
  • Vendor risk management
  • Business continuity planning
IT & Operational Security (25+ Controls)
  • Application monitoring and alerting
  • Asset management procedures
  • Disaster recovery planning
  • Change management processes

EU AI Act Compliance

The European Union’s AI Act classifies AI systems that affect access to healthcare as high-risk applications. This includes AI systems involved in patient triage, clinical decision support, prior authorization, and any scenario where an AI output could influence a patient’s access to care.

Current Status

HANA is actively working toward full EU AI Act compliance for healthcare deployments in Europe:
  • Risk classification assessment: Mapping HANA’s capabilities against the AI Act’s high-risk categories to determine registration requirements per use case
  • Conformity assessment preparation: Documenting technical architecture, safety measures, and quality management systems required for high-risk AI registration
  • EU database registration: Preparing for registration in the EU database of high-risk AI systems as required before production deployment with EU patients

Use Case-Specific Classification

Not all HANA deployments carry the same regulatory classification under the AI Act:

What This Means for EU Customers

  • Non-high-risk use cases (appointment management, preparation reminders, general outreach) can proceed under standard GDPR compliance
  • High-risk use cases (anything involving clinical decisions that affect care access) require HANA to be registered in the EU AI Act database before production deployment — including POC/pilot phases with live patients
  • HANA works with EU customers during scoping to classify the intended use case and determine the regulatory pathway
For EU healthcare organizations evaluating HANA: we recommend discussing your intended use case during the scoping phase so we can provide a clear regulatory timeline. Some use cases can proceed immediately; others require registration that we are actively pursuing.

Contact Information

For security inquiries or compliance requests:
  • Security Team Email: security@hana.health
  • Response Time: Standard business hours
  • Documentation Access: Available upon request through our trust center