In the modern hyper-connected and digitally transformed business, enterprise risk continues to increase. From fraud, to ever-changing compliance regulations, you need to increase visibility and unlock the power of real-time data streaming and advanced analytics to lower enterprise risk.

#GDPR, Time to comply.

Reduce risk increase compliance

Time to comply with the European Union's General Data Protection Regulation (GDPR) is fast approaching. Starting on May 25, 2018, any organization failing to satisfy the new regulation faces fines as well as the potential suspension of any further data processing activities. Irrespective of whether you have a physical presence in the EU, if you are handling EU citizen data in any way, you are subject to the GDPR.

The challenges:

  • Discover: scope data subjects to the regulation.
  • Defend: implement measures to protect discovered data.
  • Detect: identify a breach against that data, and remediate security and process gaps

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Data encryption in motion

Secure cluster, but what happens with your data?

When it comes to security, Apache Kafka as every distributed system provides the mechanisms to transfer data securely across the components being involved. Depending on your set up this might involve different services such as Kerberos, relying on multiple TLS certificates and advanced ACL setup in brokers and Zookeeper. In many cases, with encryption features enabled, performance is also taking a penalty hit.

Even though, a secure network infrastructure ensures the data encryption in-transit, what happens when your data is at-rest and even after they leave the cluster?

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Data Lineage & Governance

Empower regulations, enterprise data management strategy, manage data impact, add reporting attributes, and keep close track of critical data elements of the organization.
Get visibility while greatly simplifying the ability to trace errors and track the origin of data.

Data lineage is represented visually to discover the data flow/movement from its source to destination via various changes and hops on its way in your enterprise data pipelines, how the data gets transformed along the way, how the representation and parameters change, and how the data splits or converges after each hop.

  • Enable auditing, and compliance analysis
  • Meta-data management
  • Replay specific portions or inputs of the data flow.

We've got you covered

  • Authentication & Authorization
  • Encryption in data in-transit
  • LDAP, Role based
  • Kerberros
  • ACLs

Ready to get started with your streaming project?

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