Trustera: A Live Conversation Redaction System
Gouvêa, Evandro, Dadgar, Ali, Jalalvand, Shahab, Chengalvarayan, Rathi, Jayakumar, Badrinath, Price, Ryan, Ruiz, Nicholas, McGovern, Jennifer, Bangalore, Srinivas, Stern, Ben
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Mar-16-2023
- Genre:
- Research Report (0.83)
- Industry:
- Information Technology > Security & Privacy (1.00)
- Technology:
- Information Technology > Artificial Intelligence
- Machine Learning
- Neural Networks > Deep Learning (0.68)
- Statistical Learning > Regression (0.46)
- Natural Language (1.00)
- Speech > Speech Recognition (1.00)
- Machine Learning
- Information Technology > Artificial Intelligence