Strac scans and identifies sensitive data across SaaS applications, cloud platforms, and endpoints. It detects various types of sensitive information including PII, PHI, financial data, API keys, passwords, crypto addresses, profanity, IP addresses, CIDR blocks, MAC addresses, and vehicle information. The system uses machine learning, AI, and OCR to analyze text, attachments, images, audio/video recordings, and scanned documents.
02
Data Redaction And Protection
Strac automatically redacts or masks sensitive information detected in various data sources, including email content and attachments, Slack messages, Zendesk tickets, Intercom conversations, Notion pages and blocks, and Google Drive documents. The redaction process can be configured to handle different types of sensitive data according to specific business needs and compliance requirements.
03
Tokenization
Strac provides a tokenization API that replaces sensitive data with tokens, allowing organizations to avoid storing actual sensitive data on their servers. The tokenization process uses 256-bit AES encryption and adheres to PCI standards for handling credit card information. The system includes a secure vault for storing the tokenized data.
04
Real-Time Monitoring And Alerts
Strac offers real-time monitoring of data across integrated applications and platforms. It provides alerts and suggested actions when potential risks or policy violations are detected. The system can be configured to run periodic historical scans to identify data that might violate policies in applications.
05
Saas Application Integration
Strac integrates with various SaaS applications through APIs, including Slack, Zendesk, Gmail, Office 365, Intercom, Notion, Google Drive, Google Sheets, Salesforce, Box, HubSpot, and others. The integration process is designed to be completed quickly, often in less than an hour.
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