About DataStealth
DataStealth is a data security platform from Datex that secures sensitive data across cloud, SaaS, hybrid, and legacy systems without agents, rewrites, or disruption. It provides features such as neutralizing the risk of stolen data by replacing it with quantum-resistant tokens, sustaining compliance across PCI DSS, HIPAA, GDPR, and more. This allows organizations to protect their sensitive information effectively while adhering to regulatory requirements. DataStealth also includes guides for securing data in Azure and AWS environments. Key capabilities: find sensitive data classify data types protect with tokenization ensure compliance support hybrid environments Best for: organizations that need to secure sensitive data across multiple platforms.
DataStealth Details
DataStealth's In-App Market Place
Does DataStealth have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
0
Mini Apps
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥), INR (₹), SGD (S$), HKD (HK$), CHF (Fr), SEK (kr), NOK (kr), DKK (kr), NZD (NZ$), MXN (Mex$), ZAR (R), BRL (R$)
Pros & Cons
- 1. Comprehensive Data Protection: Offers robust tools for discovering, classifying, and protecting sensitive data.
- 2. PCI DSS Compliance: Assists organizations in meeting and exceeding PCI DSS v4.0 requirements.
- 3. Real-Time Monitoring: Provides continuous monitoring and proactive response capabilities to safeguard payment information.
- 4. Flexible Deployment: Requires only a one-time DNS configuration, minimizing operational disruptions.
- 5. Scalability: The microservice-based architecture allows for vertical and horizontal scaling to meet organizational needs.
- 1. Limited International Presence: Services are primarily based in Canada, which may affect global support.
- 2. Pricing Transparency: Specific pricing details are not readily available, requiring direct contact for information.
- 3. Implementation Complexity: Integrating DataStealth with existing systems may require dedicated resources and planning.
- 4. Learning Curve: Users may need time to become familiar with the platform's comprehensive features.
- 5. Dependence on Integrations: Full functionality relies on integrating with various organizational systems, which may not always be feasible.