# Trustera: A Live Conversation Redaction System

arXiv: https://arxiv.org/abs/2303.09438 · HTML: https://mlsanity.com/paper/2303.09438/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 5 of its 22 references that are in the map.
- First posted on arXiv 16 Mar 2023.

## Builds on (most cited first, 5 of 5)

- [NeMo: a toolkit for building AI applications using Neural Modules](https://mlsanity.com/paper/1909.09577/) (2019)
- [Citrinet: Closing the Gap between Non-Autoregressive and Autoregressive End-to-End Models for Automatic Speech Recognition](https://mlsanity.com/paper/2104.01721/) (2021)
- [Uncertainty-aware Self-training for Text Classification with Few Labels](https://mlsanity.com/paper/2006.15315/) (2020)
- [Audio De-identification: A New Entity Recognition Task](https://mlsanity.com/paper/1903.07037/) (2019)
- [End-to-end named entity extraction from speech](https://mlsanity.com/paper/1805.12045/) (2018)

## Built on by (most cited first, 2 of 2)

- [A Survey on Current Trends and Recent Advances in Text Anonymization](https://mlsanity.com/paper/2508.21587/) (2025)
- [DialogPII: A multilingual dataset of synthetic dialog transcripts to detect personal information](https://mlsanity.com/paper/2606.30312/) (2026)

## Abstract (arXiv)

Trustera, the first functional system that redacts personally identifiable information (PII) in real-time spoken conversations to remove agents' need to hear sensitive information while preserving the naturalness of live customer-agent conversations. As opposed to post-call redaction, audio masking starts as soon as the customer begins speaking to a PII entity. This significantly reduces the risk of PII being intercepted or stored in insecure data storage. Trustera's architecture consists of a pipeline of automatic speech recognition, natural language understanding, and a live audio redactor module. The system's goal is three-fold: redact entities that are PII, mask the audio that goes to the agent, and at the same time capture the entity, so that the captured PII can be used for a payment transaction or caller identification. Trustera is currently being used by thousands of agents to secure customers' sensitive information.