TRUSTERA: A LIVE CONVERSATION REDACTION SYSTEM
Evandro Gouvea (Interaction); Ali Dadgar (Interactions LLC); Shahab Jalalvand (Interactions LLC); Rathi Chengalvarayan (Interactions LLC); Badrinath Jayakumar (Interactions LLC); Ryan Price (Interactions); Nicholas Ruiz (Interactions); Jennifer McGovern (Interactions LLC); Srinivas Bangalore (Interactions LLC); Ben Stern (Interactions LLC)
-
SPS
IEEE Members: $11.00
Non-members: $15.00
We introduce 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 an audio redactor module. The system’s goal is two-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 PIIs can be used for a payment transaction or caller identification. Trustera is currently used on thousands of agent desktops to secure customers’ sensitive information.