IP Library Granted Patent US 12,645,831
Granted Patent B2
US 12,645,831 · App. 18/426,623 · Granted Jun 2, 2026

Systems and methods for automating sensitive data masking using generative AI

Inventors: Vipul Wadhawan (Bengaluru, IN); Dinesh Wadhwani (Pune, IN); Avinash Patwari (Pune, IN)
Assignee: Nice Ltd.
G06F21/6254
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Quick Facts
Patent No.
US 12,645,831
App. No.
18/426,623
Granted
Jun 2, 2026
Kind
B2
Abstract

Systems and methods for providing interaction recordings with removed personally identifiable information (PII) are disclosed, the systems and methods involving: extracting, from an interaction recording, using an automatic speech recognition engine, a timestamped recording transcript; identifying, using an artificial intelligence (AI) engine, time periods of the timestamped recording transcript which disclose PII; and removing, from the interaction recording, data present during the time periods which disclose PII, to produce a secure interaction recording.

Claims (42)

1 . A method of providing interaction recordings with removed personally identifiable information (PII), the method comprising:

identifying, using an artificial intelligence (AI) engine, time periods of a timestamped recording transcript which disclose PII;

comparing text within the timestamped recording transcript within the time periods indicated as disclosing PII to the timestamped recording transcript to identify incorrect PII;

producing PII from the time periods indicated as disclosing PII, the PII not including the incorrect PII; and

removing, from the interaction recording, data present during the time periods which disclose PII, to produce a secure interaction recording.

2 . The method of claim 1 , further comprising:

extracting, from an interaction recording, using an automatic speech recognition engine, the timestamped recording transcript.

3 . The method of claim 2 , further comprising:

dividing the interaction recording into segments before extraction of a timestamped recording transcript.

4 . The method of claim 3 , wherein the method takes place in real time, such that PII is identified in a previously recorded segment, while the interaction is ongoing.

5 . The method of claim 2 , wherein the interaction is complete, and the interaction recording comprises a recording of the entire interaction.

6 . The method of claim 1 , wherein the artificial intelligence engine is a generative artificial intelligence (Generative AI) engine.

7 . The method of claim 1 , wherein the artificial intelligence engine is a large language model (LLM).

8 . The method of claim 1 , wherein the interaction recordings are audio recordings comprising audio data.

9 . The method of claim 8 , further comprising:

replacing audio data present during the time periods which disclose PII with an audible identifier indicative of removed PII.

10 . The method of claim 1 , wherein the interaction recordings are video recordings comprising audio and image data.

11 . A system for providing interaction recordings with removed personally identifiable information (PII), the system comprising:

a memory; and

a processor configured to:

identify, using an artificial intelligence (AI) engine, time periods of a timestamped recording transcript which disclose PII;

compare text within the timestamped recording transcript within the time periods indicated as disclosing PII to the timestamped recording transcript to identify incorrect PII;

produce PII from the time periods indicated as disclosing PII, the PII not including the incorrect PII;

and

remove, from the interaction recording, data present during the time periods which disclose PII, to produce a secure interaction recording.

12 . The system of claim 11 , wherein the processor is configured to:

extract, from an interaction recording, using an automatic speech recognition engine, the timestamped recording transcript.

13 . The system of claim 12 , wherein processor is configured to:

divide the interaction recording into segments before extraction of a timestamped recording transcript.

14 . The system of claim 13 , wherein the system is real-time, in that the processor is configured to identify PII in a previously recorded segment, while the interaction is ongoing.

15 . The system of claim 12 , wherein the interaction is complete, and the interaction recording comprises a recording of the entire interaction.

16 . The system of claim 11 , wherein the artificial intelligence engine is a generative artificial intelligence (Generative AI) engine.

17 . The system of claim 11 , wherein the artificial intelligence engine is a large language model (LLM).

18 . The system of claim 11 , wherein the interaction recordings are audio recordings comprising audio data.

19 . The system of claim 18 , further comprising:

replacing audio data present during the time periods which disclose PII with an audible identifier indicative of removed PII.

20 . A method of removing personally identifiable information (PII) from files, the method comprising:

identifying, using an artificial intelligence (AI) engine, time periods of a timestamped file which include PII;

comparing text within the timestamped file within the time periods indicated as including PII to the timestamped file to identify incorrect PII;

producing PII from the time periods indicated as including PII, the PII not including the incorrect PII;

and

deleting, from the interaction recording, data present during the time periods which disclose PII.

Assignments (2)
SECURITY INTEREST Recorded Feb 26, 2026
From: NICE LTD; NICE SYSTEMS INC.; NICE SYSTEMS TECHNOLOGIES INC.; INCONTACT, INC.
To: JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT
Reel/Frame 074986/0208 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 31, 2024
From: WADHAWAN, VIPUL; WADHWANI, DINESH; PATWARI, AVINASH
To: NICE LTD.
Reel/Frame 069087/0890 →
Continuity (1)
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