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.

See 7 voicebot in banking use cases, from card locks to fraud alerts, plus the account-number accuracy bar and the Reg E and TCPA duties your tests must cover.

Conversational AI in banking, covering six servicing use cases, the benefits with real numbers, the rules that apply in 2026, and how to verify any of it.

Conversational AI in insurance: 9 use cases across FNOL, claims, and servicing, the rules each call triggers, and how to test agents before they dial.

AI red teaming in 2026: seven attack methods, the tools that run them, the OWASP and EU AI Act duties behind them, and a 1-to-5 scoring rubric to copy.

Hamming publishes no public pricing. Compare 7 Hamming alternative platforms for voice agent testing in 2026 on price, compliance, and CI/CD depth.

Which voice AI APIs can be deployed on-premises? 7 researched options across STT, TTS, and orchestration, with air-gap levels, GPU needs, and setup steps.

How voicemail detection works in voice AI: the three detection methods, the beep problem, the FCC two-second rule, and how to test every branch before you dial.

LiveKit vs Vapi compared on infrastructure ownership, true per-minute cost, concurrency ceilings and compliance pricing, plus where a QA layer belongs.

Voice AI sentiment analysis for upsell offers fails on timing. Compare four trigger designs, real accuracy ceilings, and the tests that catch a bad offer.

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.