Capabilities
Accelerating the Data Migration to the Cloud that Powers Applications, AI & Analytics
Migrating to the cloud? With data-security administration decentralized, compliance and security teams scramble to align expectations for data privacy with the data-security policies of different cloud vendors. With Protegrity's consistent and flexible data protection, enterprises can be confident in the security of their data in the cloud. They'll be able to utilize valuable data insights, explore new opportunities, and meet customer expectations while enhancing their ability to compete.
DEPLOYMENT
- Containers – Sustained Loads
- Serverless – Burst-y Loads
- VMs – Legacy Apps
DEVOPS READY
- Application Protector
- ESA/Policy Management
- Discover
- Anonymization
- Data Security Gateway
CLOUDS
- Public (AWS, GCP, Azure)
- Niche (e.g., Ensono)
- Industry (e.g., IBM Cloud for FSS)
PROTECTION NEEDS
- Cloud Data Repos
- Homegrown Applications
- SaaS Applications
- Anonymization
- Application Developer Training
Built for Engineers, DBAs, and Architects
We understand the challenges technical teams face while supporting the demands of the business. So, we put you in the best possible position to choose how you want to protect your data and make it private. Thanks to the centralized management and transparency of our platform — a "single pane of glass" — teams can see where data resides and what its purpose is. Plus, we offer the full range of methods from basic monitoring and dynamic data masking to highly secure vaultless tokenization, so you can be in control of how best to support the business.
Protegrity’s Data Security Training
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No one provides more data protection methods than Protegrity. In the Clear. Monitored. Masked (Dynamic or Static). Encryption (including Format-Preserving Encryption). Protegrity Vaultless Tokenization. Anonymization. Protegrity not only offers them all, but we invented many of them. Protegrity enables you to control the method of protection, and to combine methods to match the sensitivity of the data and the use.
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