comforte AG, a leading provider of enterprise data security and digital
payments solutions, has announced new integration capabilities for
Apache Kafka with the latest release of its Enterprise Data Protection
Suite. Apache Kafka is a distributed data streaming platform that allows
users to collect and examine real-time data streams from a variety of
popular applications. These new capabilities enable organizations to
integrate data protection methods, like tokenization or
format-preserving encryption, into their Kafka environments.
Anonymization and pseudonymization can be applied to sensitive data on
the fly within Apache Kafka to help organizations protect information
and fulfil compliance regulations. The additional capabilities cater to
use cases unique to the Apache Kafka environment, especially Kafka
Connect and Kafka Streams. The release will be making its debut at
Whitehall Media’s Big
Data Analytics Conference in London, the industry event showcasing
the latest Big Data Analytics innovations and insights for large
enterprises.
How the solution interacts with Kafka Connect
Kafka
Connect is a plug-in framework that connects Kafka with external
systems such as databases, key-value stores, search indices, and file
systems. The Confluent
Hub provides out-of-the-box solutions for classic databases using
Kafka Connect, such as SQL, MongoDB, Oracle GoldenGate, SAP Hana, S3,
etc. These out-of-the-box connectors can be seamlessly integrated into
an existing environment with little to no changes to source code, which
keeps development costs to a minimum. While there are many useful
out-of-the-box Connectors available, they cannot easily be modified to
integrate third party APIs. Seamless integration is a key advantage of
the new comforte suite as it enables end-to-end data protection with
minimal development effort.
In addition, data can be secured in the Connectors before moving
downstream in the Apache Kafka environment so that it is protected
throughout its lifecycle. This is made possible by tokenization, which
maintains the referential integrity of the data, allowing it to move and
be processed throughout the Kafka environment, all while in a protected
state.
How the solution interacts with Kafka Streams
Kafka
Steams is a client library for building applications and
microservices, where the input and output data are stored in Kafka
clusters. Java and Scala applications can be written on the client side
with support from Kafka’s server-side cluster technology. The comforte
solution provides a dedicated, transparent, and out-of-the-box Kafka
Stream integration module that makes implementation fast and easy.
“This new release for Apache Kafka is yet another positive chapter in
comforte AG’s strategic growth plan to ensure the highest standards of
data security are being met,” said Henning Horst at comforte AG. “The
amount of data being generated worldwide is enormous, making it highly
valuable to organizations today. Therefore, with the growing risk of
breaches along with new and stricter regulations all around the world,
sophisticated data protection is a necessity.”
Learn more about comforte AG’s Data Security Offering for Big Data
Analytics:
https://www.comforte.com/enterprise-data-protection/big-data-security/
About comforte
comforte AG is a leading provider of
enterprise data security. Today, more than 500 enterprises worldwide
rely on comforte to secure the sensitive data they have been entrusted
with. With more than 20 years of experience in data protection and
connectivity of truly mission-critical systems, comforte is the perfect
partner for organizations who are determined to protect their most
valuable asset: data.
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