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Reflecting on 2024: Solving the Toughest Data Security Challenges

Real-World Solutions for Modern Data Security Problems

Hello, 

As 2024 comes to a close, we’ve seen organizations face increasing challenges in protecting sensitive data across SaaS platforms, cloud storage, and emerging technologies like generative AI. At Strac, we’ve worked closely with businesses from publicly traded companies to growing startups to tackle these problems head-on, ensuring security without disrupting productivity.

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Here are five real-world use cases we’ve solved for our customers this year:

  1. Sensitive Data Discovery and Protection in Cloud Storage

    • Helped organizations scan SharePoint, Google Drive, Dropbox, Box and OneDrive for sensitive data.

    • Enabled bulk remediation of overexposed files, ensuring compliance with SOC 2 and GDPR.

  2. Sensitive Data Protection in Customer Support Platforms

    • Secured customer data in Zendesk, Salesforce, Intercom, and HubSpot by detecting and redacting sensitive information in support tickets and attachments.

  3. Data Security for Collaboration Tools

    • Prevented sensitive data leaks in Slack, Teams, and Jira by blocking unauthorized sharing and redacting sensitive messages.

  4. Email Data Protection for O365 and Gmail

    • Protected sensitive data in emails and attachments with real-time redaction, blocking, and compliance reporting.

  5. Generative AI Data Protection

    • Secured AI interactions in ChatGPT and Copilot with browser-based DLP, offering flexible modes like Audit, Warn, Block, and Confirm (Justification).

Looking Ahead to 2025

The stakes for data security are higher than ever, but the opportunities to stay ahead are within reach. We continue to build more SaaS, Cloud, Gen AI Integrations. In Q1, we will be releasing integrations with 16 Cloud Databases, and 6 SaaS Integrations. Exciting! 🚀 🚀 🚀 

Let’s work together to make 2025 the year you take control of your data security.

Warmly,

Aatish

Book a demo to learn more about how we help our clients protect sensitive data on SaaS, Cloud, Generative AI and Endpoints