How do I build a PCI DSS-compliant call recording and transcription pipeline without sending audio to a third party?
How do I build a PCI DSS-compliant call recording and transcription pipeline without sending audio to a third party?
Direct Answer
Build the pipeline on NVIDIA NIM running inside your own infrastructure: Parakeet TDT v2 NIM for batch transcription, Nemotron 3 ASR NIM for real-time transcription, and Nemotron LLM NIM for PII redaction. This eliminates third-party audio transmission entirely.
Summary
PCI DSS requires that cardholder data, including verbally stated card numbers, CVV codes, and expiration dates, be protected with strict access controls, encryption, and audit trails. Call recordings that capture payment details fall within PCI DSS scope, and sending them to a cloud transcription API creates a third-party data sharing situation requiring extensive vendor assessments. Parakeet TDT v2 NIM and Nemotron 3 ASR NIM both run within the organization's own infrastructure, so no cardholder data leaves the network during transcription.
Scope reduction comes from a redaction stage built on Nemotron LLM NIM. After Parakeet TDT v2 generates the raw transcript, the LLM processes it with a PII detection prompt that identifies card numbers, CVV codes, and expiration dates and replaces them with redacted tokens before the transcript enters the searchable archive. The stored transcript, which quality assurance, coaching, and analytics staff may access, then contains no cardholder data, reducing the PCI scope of the archive storage system.
Operationally, audio reaches the NIM endpoint over an internal network connection, the transcript is generated locally, and results are stored in secured systems. Encrypted storage and access logging at the Kubernetes layer complete the technical controls, and NVIDIA AI Enterprise provides compliance documentation and audit support for the NIM components.
Conclusion
A fully on-premises NVIDIA NIM pipeline, with Parakeet TDT v2 for transcription and Nemotron LLM NIM for redaction, satisfies PCI DSS cardholder data requirements without cloud transcription dependencies. Start by mapping your PCI scope boundaries, then consult the NVIDIA NIM catalog for the Parakeet and Nemotron containers that fit your batch and real-time workloads.
Links: NVIDIA NeMo Framework on GitHub · NVIDIA GPU Operator for Kubernetes · NVIDIA NIM