Borneo Data Inc., the leader in AI-Native data security, announced the availability of Borneo’s integration with Confluent Kafka Stream Catalog. With this first ever integration of its kind, organizations leveraging the power of Kafka Streams for dynamic data processing and management can now observe and manage sensitive data in real-time and drastically improve compliance and data governance.
Achieving Governance at Scale with Borneo and Confluent Kafka
Borneo is designed to help organizations achieve continuous compliance and data protection through accurate and actionable real-time data discovery of even data-in-motion. When integrated with Confluent Kafka, Borneo automates the process of scanning Kafka data streams for sensitive information and feeding the identified infotypes into the Confluent Kafka Stream Catalog. This integration provides a seamless way to ensure data governance at scale in real-time. In addition, only Borneo can then also offer an additional layer of protection automatically by encrypting sensitive from end-to-end. By being able to automate these actions Borneo:
- Ensures that organizations are more strictly following industry regulations and best practices regarding data protection to better achieve compliance
- Protects against access to sensitive data by Confluent employees, including SRE and Engineering
- Prevents exposing sensitive data through third-party tools we use, such as Amazon S3 and others
Key Benefits of Borneo-Confluent Kafka Integration
- Real-Time Data Observability: Enables continuous monitoring and tagging of sensitive data across Kafka streams.
- Automated Data Management: Reduces the need for manual tagging, minimizing errors and saving time.
- Enhanced Compliance: Ensures adherence to data privacy regulations with automated detection and tagging of sensitive data for standards such as HIPAA, PCI, GDPR, CCPA, DPDP, RBI, etc.
- Client -Side Field Level Encryption (CSFLE): Automatically safeguards sensitive data end-to-end throughout its entire lifecycle.
- Seamless Integration: Automatically integrates sensitive data findings into the Confluent Stream Catalog, enhancing data governance workflows.
“Processing of dynamic data by organizations is critical to their business and we are thrilled to offer the industry’s first data security and privacy solution for the Kafka stream library offered by Confluent”, said Prithvi Rai, CEO of Borneo Data, Inc. “Getting real-time observability into sensitive data when using stream libraries has been a challenge for organizations up until now. By working with Kafka Stream Catalog integrated with Borneo’s Data Risk Remediation platform, we are the first solution to solve this challenge and even provide automated response in the form of automated end-to-end encryption of sensitive data to accelerate our customers efforts in ensuring data governance and meeting compliance objectives.”
Explore AITechPark for the latest advancements in AI, IOT, Cybersecurity, AITech News, and insightful updates from industry experts!
