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What is Strac?

Strac offers a holistic approach to managing Personally Identifiable Information (PII) while protecting businesses from potential compliance and security issues. It efficiently identifies and removes sensitive data across various platforms, including email, Slack, Zendesk, Google Drive, OneDrive, and Intercom. Moreover, it safeguards crucial information by ensuring it never reaches servers, providing strong protection for both front-end and back-end operations. By integrating swiftly with your SaaS applications, Strac significantly reduces the risk of data breaches while maintaining adherence to regulations like PCI, SOC 2, HIPAA, GDPR, and CCPA. With its cutting-edge machine learning algorithms, instantaneous alerts, and effortless redaction capabilities, Strac not only saves precious time but also boosts your team's overall efficiency and productivity. This seamless solution empowers businesses to focus on their core activities while confidently managing sensitive data.

What is SISA Radar?

Help organizations strengthen their data protection measures by leveraging techniques such as data discovery, file analysis, and classification. Protect your entire data landscape with the robust features of SISA Radar, which specializes in data discovery and classification. Systematically organize and prioritize sensitive information based on its significance and the needs of the organization. Gain contextual insights that are essential for the effective management of sensitive data. Ensure that you have complete visibility into a variety of sensitive data formats, including structured, semi-structured, and unstructured information. Protect data from unauthorized access while remaining compliant with regulations like PCI DSS, GDPR, CCPA, POPIA, PDPA, and APRA. Create and customize a data classification framework tailored to meet your specific organizational requirements. Implement a scalable and resilient approach to advanced data security for the future. Rely on a single platform designed to efficiently detect, identify, and contextualize sensitive information. By utilizing a proprietary data discovery algorithm, experience enhanced detection speed and a noticeable decrease in false positives, which will significantly bolster your data protection initiatives. This all-encompassing strategy will not only secure your data but also ensure that your organization is equipped to tackle the ever-evolving landscape of data security threats. Ultimately, it lays the groundwork for a proactive stance against potential vulnerabilities that may arise.

Media

Media

Integrations Supported

Gmail
Google Drive
Google Sheets
Intercom
Kustomer
Microsoft 365
Microsoft OneDrive
Microsoft SharePoint
Notion
PostgreSQL
Slack
Zendesk

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

Windows

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support

Training Options

Online Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

Strac

Date Founded

2021

Company Location

United States

Company Website

www.strac.io

Company Facts

Organization Name

SISA Information Security

Date Founded

2003

Company Location

India

Company Website

sisainfosec.com

Categories and Features

Data Classification

Not specified

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Loss Prevention

Compliance Reporting
Incident Management
Policy Management
Sensitive Data Identification
Web Threat Management
Whitelisting / Blacklisting

Data Privacy Management

Access Control
CCPA Compliance
Consent Management
Data Mapping
GDPR Compliance
Incident Management
PIA / DPIA
Policy Management
Risk Management
Sensitive Data Identification

ISO Compliance

Not specified

Categories and Features

Data Classification

Not specified

Data Discovery

False Positives Reduction
Sensitive Data Identification

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