Strac

Strac is a comprehensive Data Loss Prevention (DLP) solution that protects sensitive data across various platforms, including SaaS applications, endpoints, and cloud environments. It leverages advanced generative AI to detect, classify, and remediate sensitive information such as Personally Identifiable Information (PII), Protected Health Information (PHI), Payment Card Information (PCI), source code, and intellectual property. Strac is particularly noted for its no-code integrations, allowing businesses to quickly and easily implement robust data protection measures.

Features:

Data Discovery and Classification:
- Automatically scans and classifies sensitive data across various formats, including text, images, and documents (PDF, JPEG, PNG, DOCX, etc.)
- Identifies sensitive data in real-time, ensuring immediate protection and compliance

Data Loss Prevention (DLP):
- Redacts or masks sensitive data in emails, chat messages, documents, and LLM prompts
- Blocks unauthorized access to sensitive data and sends alerts for potential data breaches
- Encrypts sensitive data to prevent unauthorized access

Compliance:
- Helps businesses comply with various regulations such as PCI, HIPAA, SOC 2, GDPR, CCPA, and ISO 27001
- Ensures ongoing compliance by continuously scanning for sensitive data

Integrations:
- Supports integrations with popular SaaS apps like Slack, Zendesk, Notion, Salesforce, Jira, Confluence, and generative AI platforms like ChatGPT and Gemini
- Compatible with endpoint devices such as Mac and Windows
- Integrates with cloud services like AWS, Azure, and Google Cloud Platform (GCP)

Generative AI Capabilities:
- Detects, removes, redacts, or pseudonymizes sensitive data from large language model (LLM) prompts
- Utilizes AI algorithms to accurately detect sensitive data across unstructured text and documents

How It Works:

User Interaction:
- Users can integrate Strac with their existing systems in just five minutes without any coding required
- Available as a web application and API, allowing users to interact with the platform through a user-friendly interface or programmatically via API calls
- Provides real-time data protection by embedding its masking algorithm into customer-critical use cases

Specific Use Cases:
- Identifies and protects sensitive data in email bodies and attachments
- Redacts sensitive data from chat messages in platforms like Slack and Intercom
- Scans and protects sensitive data in documents stored in Google Drive and other cloud storage services

Integrations:

Strac supports deep integrations with a wide range of platforms:
- Communication Tools: Slack, Intercom, Gmail, Office 365
- Customer Support: Zendesk
- Project Management: Jira, Confluence
- Cloud Storage: Google Drive, AWS S3
- Generative AI: ChatGPT, Gemini

Availability and Launch Information:
- Strac is available as a web application, API, and SDK
- The latest update was noted on May 7, 2024

Target Users:

Strac is ideal for businesses of all sizes that need to protect sensitive data across various platforms. It is particularly useful for:
- Enterprises with complex data protection needs
- Healthcare providers that handle PHI and need to comply with HIPAA
- Financial institutions that manage PCI and other financial data
- Tech companies that need to protect source code and intellectual property

Strac is not open source, ensuring that its proprietary algorithms and integrations remain secure and controlled.