Bangladesh’s first telephony Voice DLP solution
CSL, Actionboard.ai, DeepDataLabs and BackDoor SecOps R&D partner to stop sensitive data leaking through phone calls, in real time.
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A partnered solution from CSL, Actionboard.ai, DeepDataLabs and BackDoor SecOps R&D that detects, blocks and redacts sensitive data in live phone calls and call recordings.
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A comprehensive, multi-channel agentic Data Loss Prevention platform combining real-time desktop UI interception, IP Telephony & voice audio stream DLP, local 2B SLM inference, NetApp ONTAP secure storage, and Snowflake Cortex ML analytics.
Dual interface system ensuring friction-free user remediation across text, file, and voice interactions.
You are attempting to copy Customer Credit Card & SSN Records during an active VoIP softphone session.
Reduces helpdesk tickets by resolving policy violations at the user level prior to incident logging.
Email and file DLP are standard in Bangladeshi banks and agencies. Phone calls are not covered. Card numbers, NID numbers, account details and internal information are read aloud in contact centres and branches every day, then stored in call recordings that few teams audit.
Voice DLP applies data-loss rules to speech. It listens to the call as it happens, recognises sensitive information in Bangla and English, and acts before that information is stored or shared further.
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Voice DLP deploys on CSL Hybrid SBC Cluster and Secure Enclave patterns. Book a scoping session with a CSL-certified engineer on Actionboard.