Security Overview

Your phones and patient data are mission-critical. Medreception AI is designed with a security-first mindset across our infrastructure, code, and day-to-day operations.

Infrastructure

  • Hosted on major cloud providers with hardened baselines
  • Network-level segmentation between public endpoints and internal services
  • Regular patching and dependency review as part of our dev process

Encryption

  • TLS for data in transit between clients and our services
  • Encryption at rest for databases, call logs, and recordings where PHI may be present
  • Limited retention windows for audio and transcripts, based on your practice's needs

Access Controls

  • Role-based access for internal team members with least-privilege defaults
  • Multi-factor authentication for administrative consoles
  • Audit logging of sensitive administrative actions

Data Segregation

Customer data is logically separated by account to avoid mixing PHI between practices. Within each account:

  • Unique identifiers for calls, messages, and AIs per tenant
  • Account-level configuration for retention and access

Operational Security & Training

  • Restricted access to production data on a need-to-know basis
  • Internal policies covering PHI handling and HIPAA basics
  • Change management practices for deployments and infrastructure updates

Your Responsibilities

Security is shared. We provide the tools and infrastructure to keep data safe; your practice is responsible for controlling who has access to dashboards, call recordings, and EHR systems, and for enforcing your local policies around PHI and device security.

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Security Overview | Medreception AI | Medreception AI