Trust Center
Security is foundational to everything we build. Learn about our practices, certifications, and commitment to protecting your data.
Data Protection
Encryption at Rest
All data encrypted using AES-256
Encryption in Transit
TLS 1.3 for all communications
PII Handling
Automatic PII detection and redaction options
Data Retention
Configurable retention policies per customer
Access Control
Role-Based Access
Granular RBAC for team management
API Key Management
Scoped keys with rotation support
SSO/SAML
Enterprise SSO integration (Enterprise)
Audit Logs
Complete activity logging and exports
Infrastructure
SOC 2 Type II
Annual compliance audits
Redundancy
Multi-region deployment with failover
DDoS Protection
Enterprise-grade attack mitigation
Penetration Testing
Regular third-party security assessments
Responsible AI
We're committed to building AI that is safe, transparent, and respects user autonomy. Here's how we approach responsible AI in voice automation.
Guardrails & Boundaries
Agents operate within defined policy boundaries. You control what topics are allowed, when to escalate, and how to handle sensitive information.
Transparent Conversations
AI identifies itself clearly in conversations. Customers always know they're speaking with an AI agent unless configured otherwise.
Human Oversight
Every call is logged and auditable. Set up real-time monitoring and intervention capabilities for sensitive use cases.
Consent Best Practices
We provide tools and guidance for implementing appropriate consent flows, disclosure requirements, and regulatory compliance.
Note: This page outlines general best practices. Specific compliance requirements (HIPAA, GDPR, etc.) should be discussed with our sales team to ensure proper configuration for your use case.
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