Protect sensitive customer information across call records, billing systems, network operations, and customer service interactions.
Everything you need for comprehensive data protection
Redact Call Detail Records at scale while preserving billing and network analytics capabilities.
Protect customer financial data, payment information, and billing addresses across invoicing systems.
Process network and infrastructure logs while preserving diagnostic value and removing customer identifiers.
Redact PII in call center transcripts, chat logs, and support tickets while maintaining context for analysis.
Anonymize cell tower data, GPS coordinates, and location history to protect subscriber privacy.
Meet FCC, CPNI, and international telecom privacy regulations with automated compliance workflows.
Telecommunications companies handle vast amounts of sensitive customer data—call records, location information, billing details, and service interactions. RedactionAPI provides the high-throughput processing and telecom-specific detection capabilities needed to protect this data while supporting network operations and business analytics.
Telecommunications providers operate at a unique intersection of technology and privacy. Every call, text, and data session generates records containing personally identifiable information. Regulatory requirements including CPNI rules, GDPR, and sector-specific regulations demand careful handling of this data, while business needs require analytics, network optimization, and customer service capabilities that depend on this same information.
Phone numbers, call times, durations, cell tower connections, and associated billing information generated for every call.
Customer names, addresses, payment methods, service plans, and account history in CRM and billing systems.
IP addresses, device identifiers (IMEI, MAC), session data, and diagnostic information from network infrastructure.
Cell tower connections, GPS coordinates from mobile devices, and movement patterns derived from network data.
RedactionAPI detects and redacts the full range of telecommunications identifiers:
| Identifier Type | Format | Detection Method |
|---|---|---|
| Phone Numbers | +1-555-123-4567 | Pattern + country code validation |
| IMSI | 310150123456789 | 15-digit format + MCC/MNC validation |
| IMEI | 353456789012345 | 15-digit format + Luhn check |
| ICCID (SIM) | 8901234567890123456 | 19-20 digit format + Luhn check |
| MAC Address | 00:1A:2B:3C:4D:5E | Pattern recognition + OUI validation |
| IP Address | 192.168.1.100 | IPv4/IPv6 pattern validation |
| Cell Tower ID | 310-260-12345-67890 | MCC-MNC-LAC-CID format |
CDRs are the lifeblood of telecom operations but contain extensive PII. Our API processes CDRs at scale:
// Sample CDR record
{
"record_id": "CDR-2024-001234567",
"calling_number": "+14155551234",
"called_number": "+12125556789",
"call_start": "2024-01-15T14:30:22Z",
"duration_seconds": 342,
"calling_imsi": "310150123456789",
"calling_imei": "353456789012345",
"cell_id_start": "310-260-12345-67890",
"cell_id_end": "310-260-12345-67891",
"subscriber_name": "John Smith",
"account_number": "ACC-123456"
}
// API Request
POST /v1/redact
{
"document": [CDR record or batch],
"document_type": "json",
"profile": "telecom_cdr",
"preserve_fields": ["record_id", "call_start", "duration_seconds"],
"pii_types": ["phone", "imsi", "imei", "cell_tower", "name", "account"]
}
// Redacted Output
{
"record_id": "CDR-2024-001234567",
"calling_number": "[PHONE_A]",
"called_number": "[PHONE_B]",
"call_start": "2024-01-15T14:30:22Z",
"duration_seconds": 342,
"calling_imsi": "[IMSI]",
"calling_imei": "[IMEI]",
"cell_id_start": "[CELL_TOWER]",
"cell_id_end": "[CELL_TOWER]",
"subscriber_name": "[NAME]",
"account_number": "[ACCOUNT]"
}
For analytics that require tracking behavior patterns without exposing identities, use deterministic tokenization:
Network logs from routers, switches, and other infrastructure contain subscriber identifiers:
# Sample syslog entry
Jan 15 14:30:22 router01 DHCP: DHCPACK to 192.168.1.100 via eth0 (00:1A:2B:3C:4D:5E)
Jan 15 14:30:23 router01 NAT: Session started 192.168.1.100:54321 -> 203.0.113.50:443
# Redacted output (preserving diagnostic info)
Jan 15 14:30:22 router01 DHCP: DHCPACK to [IP_A] via eth0 ([MAC_A])
Jan 15 14:30:23 router01 NAT: Session started [IP_A]:[PORT] -> 203.0.113.50:443
Telecom location data is particularly sensitive. We offer multiple anonymization approaches:
Remove all location identifiers (cell towers, coordinates). Suitable when location isn't needed for analytics.
Reduce precision: GPS to zip code, cell tower to city. Preserves regional analytics while protecting exact location.
Reduce timestamp precision: exact time to hour or day. Prevents tracking movement patterns.
Ensure any location/time combination contains at least k subscribers. Prevents individual identification.
Customer Proprietary Network Information (CPNI) regulations require telecommunications carriers to protect customer data. RedactionAPI supports CPNI compliance:
{
"profile": "cpni_compliance",
"redact_categories": [
"call_detail", // Numbers, times, duration
"service_quantity", // Usage data
"technical_config", // Service details
"location" // Cell/GPS data
],
"preserve_for_billing": true,
"audit_logging": true,
"consent_check": {
"require_opt_in": true,
"consent_field": "cpni_consent_status"
}
}
Call center transcripts, chat logs, and support tickets contain unstructured PII that requires intelligent detection:
// Original transcript
Agent: Thank you for calling TeleCorp support. Can I have your phone number?
Customer: Yes, it's 415-555-1234.
Agent: I see your account, John Smith at 123 Main Street. How can I help?
Customer: My bill shows charges I don't recognize. My credit card ending in 4567 was charged twice.
Agent: I see the issue. Let me process a refund to your Visa ending in 4567.
// Redacted transcript
Agent: Thank you for calling TeleCorp support. Can I have your phone number?
Customer: Yes, it's [PHONE].
Agent: I see your account, [NAME] at [ADDRESS]. How can I help?
Customer: My bill shows charges I don't recognize. My credit card ending in [CARD_LAST4] was charged twice.
Agent: I see the issue. Let me process a refund to your [CARD_TYPE] ending in [CARD_LAST4].
RedactionAPI integrates with telecom data pipelines through multiple patterns:
┌──────────────┐ ┌────────────────┐ ┌──────────────┐ ┌───────────────┐
│ Network │────▶│ CDR Feed │────▶│ RedactionAPI │────▶│ Analytics │
│ Equipment │ │ (Kafka/MQ) │ │ Processing │ │ Platform │
└──────────────┘ └────────────────┘ └──────────────┘ └───────────────┘
│
▼
┌──────────────┐
│ Audit Logs │
└──────────────┘
Analyze network performance, capacity planning, and traffic patterns using redacted CDRs that preserve operational insights without customer identification.
Train and run fraud detection models on tokenized data, identifying patterns while protecting customer privacy.
Share anonymized network data with partners, researchers, or regulators without exposing subscriber information.
Use redacted call transcripts for agent training and quality assurance without privacy concerns.
RedactionAPI processes billions of telecom records daily for leading carriers. Our telecom-specific detection and high-throughput architecture meets the unique demands of telecommunications data protection.