Use cases / PCI DSS audio redaction
Redact Cardholder Data from Call Recordings Automatically
Credit card numbers spoken over the phone put you at risk. VIDIZMO Redactor detects and removes PAN, CVV, and sensitive authentication data from recorded calls so you can store, share, and use recordings without violating PCI DSS.
Call Recordings are Your Biggest PCI Exposure
Every time a customer reads a card number over the phone, that data gets embedded in the recording. Under PCI DSS, storing unredacted cardholder data in call recordings violates multiple requirements and puts your certification at risk.
Manual review is slow, inconsistent, and does not scale. Pause-and-resume recording misses data when agents forget to trigger it. And legacy tools cannot distinguish a 16-digit credit card number from a 16-digit reference number in spoken audio.
PCI DSS Requirements Addressed
Mask displayed PAN
Full PAN must be masked so only the last four digits are visible. VIDIZMO mutes or bleeps spoken PAN in audio, preserving call integrity while removing the exposed number.Retention limits
Cardholder data that exceeds its retention period must be deleted. Automated redaction lets you keep the recording for QA, training, and dispute resolution without retaining the prohibited data.Prohibit SAD storage
CVV/CVC codes and authentication data must not be stored post-authorization. VIDIZMO detects spoken CVVs and mutes them before the file hits long-term storage.Restrict access
Role-based access controls ensure only authorized personnel access unredacted recordings. QA teams review redacted output without exposure to raw cardholder data.Log and monitor
Every redaction action is logged with timestamp, user identity, PII category, and confidence score. Audit-ready reports support QSA assessments and internal compliance reviews.Industries That Record Payment Calls
Any organization that records phone conversations where cardholder data may be spoken needs PCI-compliant audio redaction.
Contact centers & BPOs
Outsourced call centers process thousands of payment calls daily across BFSI, collections, and healthcare verticals. Redact spoken PAN and CVV from every recording before it reaches QA, training, or archival storage.
Financial services
Banks, insurers, and wealth management firms record customer calls containing account numbers, card details, and policy information. Meet GLBA and PCI DSS simultaneously with automated audio redaction.
Debt collections
Collections agencies navigate PCI DSS, TCPA, and FDCPA concurrently. Payment arrangements often involve card numbers spoken aloud. Redact cardholder data while preserving the conversation for compliance documentation.
Healthcare billing
Patient billing calls capture insurance IDs and payment card details in the same conversation. Apply HIPAA and PCI DSS redaction rules to the same recording in a single pass.
Retail & e-commerce
Phone orders and customer service calls contain card-on-file details, refund authorizations, and account lookups. Redact payment data before recordings enter the QA pipeline.
CCaaS & telephony platforms
Cloud contact center vendors serving regulated clients need redaction as a platform capability. Deploy VIDIZMO Redactor via API to offer PCI-compliant call recording as part of your service delivery.
From Raw Recording to Audit-Ready File
VIDIZMO Redactor processes call recordings through a four-stage pipeline that detects, redacts, reviews, and documents every action.
Ingest
Upload recordings individually, in bulk batches, or via API triggers from your telephony platform. Supports 255+ audio and video formats.
Detect
AI transcribes the audio and applies NER to identify credit card numbers, CVVs, expiration dates, SSNs, and 33+ other PII categories in the spoken content.
Redact
Mute or bleep detected segments automatically. Confidence thresholds are configurable from 25% to 90% to balance precision against recall for your use case.
Review & export
QA reviewers play back redacted recordings in-platform. Approve, flag, or manually correct. Export redaction reports for PCI DSS audit documentation.
Built for PCI-Scale Audio Redaction
Contextual PII detection
AI uses contextual cues — not just digit counting — to distinguish credit card numbers from reference numbers, case IDs, and other 16-digit strings in conversation.Batch processing at scale
Queue thousands of recordings for overnight processing. Tested with 1.1 million+ files. No manual intervention required once the batch is configured.Mute or bleep
Choose between silent muting and audible bleep tones for redacted segments. The original recording duration and sync are preserved for legal defensibility.Speaker diarization
Identify and separate agent from customer speech. Redact cardholder data spoken by the customer while preserving the agent's responses for QA and training purposes.Transcript-based redaction
Navigate the auto-generated transcript to locate, verify, and redact specific words or phrases. Click-to-jump from transcript to timeline for fast review.Custom redaction rules
Define regex patterns, keyword lists, and entity categories specific to your environment. Target card number formats, internal account codes, or industry-specific identifiers.Configurable confidence thresholds
Set AI detection sensitivity between 25% and 90%. Choose Small, Medium, or Large models depending on your speed-vs-accuracy tradeoff.Redaction audit reports
Every redaction decision is documented with the PII category, timestamp, confidence score, reviewer identity, and approval status. Exportable for QSA review.API integration
Trigger redaction workflows automatically from your CRM, call management platform, or telephony system. Webhook-based ingestion and output delivery.FAQ
PCI DSS audio redaction questions, answered
Does PCI DSS require redaction of call recordings?
PCI DSS does not mandate a specific technology, but it requires that stored cardholder data be protected and that sensitive authentication data (CVV, PIN) not be stored post-authorization. If your call recordings capture card numbers or CVVs spoken aloud, redaction is one of the most practical ways to meet Requirements 3.1, 3.2, and 3.3 without losing the operational value of the recording.
How does AI distinguish a credit card number from a reference number?
VIDIZMO Redactor uses contextual NER models that analyze the surrounding conversation — not just digit counts. The AI evaluates conversational cues like "my card number is" or "the last four digits," Luhn algorithm validation, speaker context, and the position of the number within the payment flow. You can also set custom rules to whitelist known reference number formats that should not be redacted.
Can VIDIZMO Redactor process recordings from an air-gapped environment?
Yes. On-premises deployment supports fully air-gapped environments where no internet connectivity is required. All AI processing, transcription, and redaction happen locally on your infrastructure. This is particularly relevant for organizations whose clients restrict data from leaving their private network.
How many recordings can be processed in a batch?
VIDIZMO Redactor supports queue-based bulk processing that has been tested with over 1.1 million recordings. Batches can be configured for overnight or off-hours processing without manual intervention. For daily volumes like 100–500 calls, the system processes these routinely within standard processing windows.
Can QA teams review recordings inside the platform without exporting?
Yes. Reviewers with appropriate roles can play back redacted recordings directly in the platform, verify redaction accuracy, and approve or flag files for manual correction — all without downloading or exporting the audio. Role-based access controls ensure QA teams only see the redacted version.
Is there an API for automated ingestion from telephony platforms?
VIDIZMO Redactor provides REST APIs for automated recording ingestion, redaction triggering, and output delivery. Integrate with your existing CRM, call management system, or CCaaS platform to create zero-touch redaction workflows. Once trust is established, most organizations move from manual upload to full API integration.
What happens if the AI over-redacts and mutes non-sensitive content?
Confidence thresholds are configurable between 25% and 90%, letting you tune the aggressiveness of detection. Higher thresholds reduce false positives. The human-in-the-loop review step lets QA reviewers verify and correct any over-redaction before the file is finalized. Custom whitelists for known patterns (like internal reference numbers) further reduce false positives.
Stop Storing Cardholder Data in Call Recordings
Your call recordings already contain cardholder data. The only question is whether you find it before an auditor does. Try VIDIZMO Redactor free on your own files.