People Also Ask
VIDIZMO Redactor is built for financial institutions that need to redact documents, video, audio, and call recordings in one platform. AI automatically detects PII, financial account data, and customer identifiers across every file format, with permanent redactions, audit logs, and on-premises or cloud deployment for institutions that can't use public cloud.
To redact financial statements properly, sensitive information must be permanently removed from the underlying file, not just visually covered. VIDIZMO Redactor uses AI to detect customer names, account numbers, balances, transaction details, and SSNs across statements, reports, and audit documents, applying permanent redactions that cannot be recovered through metadata or forensic tools.
A bank statement typically requires redaction of customer names, addresses, account numbers, routing numbers, transaction details, and balances before sharing with third parties, auditors, or in litigation. Under GLBA, this is classified as Nonpublic Personal Information (NPI). VIDIZMO Redactor automatically detects and removes these elements while preserving the document structure.
Yes. VIDIZMO Redactor uses OCR to read text from scanned PDFs, image files, and even handwritten notes, then automatically applies redactions to detected PII and financial data. This is critical for financial institutions processing legacy paper records, mortgage applications, and signed disclosures during audits, examinations, or litigation responses.
Yes. VIDIZMO Redactor redacts PCI and PII from financial call recordings including customer service calls, claims interviews, and advisor consultations. AI transcribes the audio, detects spoken card numbers, names, SSNs, and account details, then permanently removes them with silence or noise so recordings can be stored and shared compliantly.
Yes. VIDIZMO Redactor redacts financial information including credit card numbers, account numbers, and other PII across video, audio, emails, PDFs, Word files, and images in one platform. AI detection works consistently across formats so institutions can apply uniform redaction standards to every customer record they handle.


