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Description
Baffle delivers comprehensive data protection solutions that secure data from any origin to any endpoint, allowing organizations to manage visibility over their information. Companies are continually facing cybersecurity challenges, including ransomware attacks, alongside the potential for losing their data assets in both public and private cloud environments. Recent changes in data management regulations and the necessity for enhanced protection have transformed the methods by which data is stored, accessed, and analyzed. By recognizing that data breaches are inevitable, Baffle aims to make such incidents insignificant, offering a crucial layer of defense that guarantees unprotected data remains inaccessible to malicious actors. Our solutions are designed to secure data right from its inception and maintain that security throughout its processing stages. With Baffle's dynamic data security framework applicable to both on-premises and cloud environments, users benefit from various data protection options. This includes the ability to safeguard information in real-time as it transitions from a source data repository to cloud databases or object storage, thereby enabling the safe handling of sensitive information. In this way, Baffle not only protects data but also enhances the overall trust in data management practices.
Description
CipherTrust Tokenization significantly lessens the expenses and labor involved in adhering to security policies and regulatory requirements such as PCI DSS, while also providing an easy way to safeguard other sensitive information like personally identifiable information (PII). Although there are no universally accepted tokenization standards in the market, the majority of tokenization solutions can be categorized into two main architectures: vaultless and vaulted tokenization, both of which effectively secure and anonymize sensitive data assets. Tokenization software can be deployed in various environments, including data centers, big data setups, or cloud platforms. By utilizing tokenization, organizations can effectively eliminate cardholder data from PCI DSS scope with minimal investment and effort, leading to significant savings on compliance-related expenses. In today's modern IT frameworks, it is crucial to manage and protect PII securely. With CipherTrust tokenization, organizations can ensure the protection of PII without the complexities of encryption key management that typically burden software developers, thus streamlining data security processes. This innovative approach not only simplifies compliance but also enhances overall data governance strategies.
API Access
Has API
API Access
Has API
Integrations
MySQL
SQL Server
.NET
Amazon Redshift
Apache Cassandra
Apache Kafka
Azure Marketplace
CipherTrust Data Security Platform
Google Cloud Platform
Java
Integrations
MySQL
SQL Server
.NET
Amazon Redshift
Apache Cassandra
Apache Kafka
Azure Marketplace
CipherTrust Data Security Platform
Google Cloud Platform
Java
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Baffle
Country
United States
Website
baffle.io
Vendor Details
Company Name
Thales Cloud Security
Country
United States
Website
cpl.thalesgroup.com/encryption/tokenization
Product Features
Data Loss Prevention
Compliance Reporting
Incident Management
Policy Management
Sensitive Data Identification
Web Threat Management
Whitelisting / Blacklisting
Data Security
Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance
