Posts tagged with "Compliance"

Closing the eval loop was the algorithm. Here's the product and the POC playbook that made customers willing to run it on their own production voice agents.

How Cekura protects conversational AI data end-to-end: encryption, tenant isolation, PHI redaction, audit logs, SOC 2 / HIPAA / GDPR compliance, multi-region residency, and BYOC deployment for enterprises.

Speaker diarization tells you who spoke when. Learn how it works, why DER benchmarks mislead, where it fails on agent calls, and how to test in production.

Retell AI voice automation features in 2026, broken down across building, voice, telephony, monitoring, and pricing, and the limits that shape deployments.

Your encryption can be perfect and your voice agent can still leak PII. These data privacy best practices for AI voice models close the gaps that matter.

Outbound voice AI QA is the practice of simulating, scoring, and load-testing an outbound voice agent before it runs a live calling campaign. This guide covers what to test, how to test outbound voice agents at scale, the compliance checks that matter, and where Cekura fits.

Voice bot testing for fintech is the practice of simulating and scoring financial-services voice AI calls against compliance, PII redaction, and no-advice guardrails before and after launch. Here is how Cekura does it.