Is My Data Secure With an AI Voice Agent?

Any AI voice agent that handles customer calls is processing sensitive data — names, phone numbers, intent signals, and often payment or health information. Evaluating a vendor's security posture before signing is not optional.

Key Security Controls to Verify

• Encryption in transit — All call audio and API payloads should travel over TLS 1.2 or higher.
• Encryption at rest — Stored transcripts, recordings, and extracted data should be encrypted with AES-256 or equivalent.
• Role-based access control (RBAC) — Only authorized users should be able to access call logs and transcripts. Admins should be able to grant and revoke access granularly.
• Configurable data retention — You should control how long call recordings and transcripts are stored. Reputable platforms offer retention windows from 30 days to 7 years and automated deletion at expiry.
• Third-party AI model data use — Confirm whether call data is used to train underlying AI models and opt out if your policies require it.

Infrastructure and Certifications

Leading AI voice platforms operate on SOC 2 Type II certified cloud infrastructure (AWS, GCP, Azure). Ask any vendor for their most recent SOC 2 report and penetration test summary. Workforce Wave's infrastructure is hosted on major cloud providers with standard enterprise security controls, and the team can provide security documentation during the evaluation process.

Practical Steps Before You Sign

Request the vendor's security questionnaire responses, review their sub-processor list (which third-party AI models and services touch your data), and confirm their incident notification SLA. Workforce Wave includes a security review as part of the standard sales process so there are no surprises after go-live.