Use Case 2: Data Security for Collaboration Tools

Secure messages and files shared in Slack, Microsoft Teams, Jira, and Confluence, Notion with automated detection and remediation actions like redaction, deletion, alerting.

Use Case 2: Data Security for Collaboration Tools

The Problem

Collaboration tools like Slack, Microsoft Teams, Jira, and Confluence, Notion are essential for modern workplaces but often serve as repositories for sensitive data, including PII, financial records, and intellectual property.

Without automated protection, sensitive information shared in conversations, uploaded as files, or embedded in project documentation can be easily overlooked and exposed, leading to potential security risks and compliance violations.

Key challenges include:

  • Identifying sensitive data shared in messages, file uploads, and shared links.
  • Ensuring sensitive information is appropriately secured in dynamic, fast-paced environments.
  • Enforcing consistent remediation across multiple collaboration tools.

Strac’s Solution

Strac provides an agentless, API-driven solution to secure sensitive data shared in collaboration tools. Using ML-powered classification and OCR models, Strac automatically detects and remediates sensitive information in real-time.

Key Features:

    Sensitive Data Detection:
  • Automatically scan for PII, PHI, PCI, and other sensitive data in text, files, and embedded links.
  • Use advanced OCR models to detect sensitive content in images and screenshots.
  1. Real-Time Remediation:
    • Redaction: Remove sensitive details from messages and attachments in real time.
    • Blocking: Prevent sharing of sensitive data in channels or direct messages.
    • Labeling: Tag sensitive data with classification labels for better tracking and compliance.
  2. Bulk Remediation:
    • Perform remediation actions across large volumes of files or historical conversations.
  3. Cross-Platform Support:
    • Monitor and protect sensitive data across Slack, Teams, Jira, and Confluence simultaneously.
  4. Detailed Reporting:
    • Generate compliance reports highlighting detected and remediated sensitive data.

Customer Case Study

A global technology company with 5,000 employees relied on Strac to secure sensitive data shared in Slack and Jira. Their teams frequently exchanged customer account details and proprietary designs, creating risks of accidental exposure.

With Strac, they:

  • Detected over 10,000 instances of sensitive data shared in Slack channels every quarter.
  • Automatically blocked sensitive file uploads in real time.
  • Redacted PII and financial details from Jira tickets to prevent unauthorized access.
  • Streamlined compliance reporting for SOC 2 and GDPR.

Quote from the CISO:

"Strac gave us the control we needed over sensitive data in our collaboration tools without slowing down productiviy. It's a seamless, powerful solution that keeps us compliant and secure in real time." - CISO