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Make Apache kafka Secure with Confluent
Learn about RBAC, Audit Logs, and BYOK in Confluent Cloud
Problem: Democratizing data and event streams across a company introduces the requirement to deploy access controls and policy enforcement at scale for both users and applications. This is not available with open source Apache Kafka and requires custom tooling that can delay applications from moving to production by months if not years.
Problem: Defining configurations that meet an organization's data security and configuration requirements for Kafka and its complete ecosystem can be a process that takes months, if not years. This can indefinitely delay launch of value generating applications as well as reduce overall developer productivity due to lack of secure resources to build event-driven applications.
Problem: Security and compliance are top of mind concerns for both business and technical leaders as applications are built or modernized in the cloud. Adopting best of breed technologies can be operationally complex without a managed service that can be trusted in terms of reliability, security & compliance. If a service does not check all the boxes, companies are forced to self manage clusters instead of focusing on app developing activities that generate business value.
Leverage RBAC and Audit logs to protect and monitor Kafka ecosystem access
Implement data security best-practices from the start with automated cluster provisioning and private connections
Scale applications without regional limitations with compliance and data privacy built into the platform
Scalable granular access controls for environments and cluster
Capture and preserve authorization activity into Kafka
Manage your own encryption keys for at-rest data on Dedicated clusters.
Establish private connectivity between your clients and Dedicated clusters with AWS Private Link
SOC 1/2/3, ISO 27001, PCI, CSA Star level 1, GDPR/CCPA readiness, HIPAA readiness
Scalable granular access controls for cluster and topics
Capture and preserve authorization activity into Kafka
Systematically prevent storing sensitive information such as passwords and API tokens in plain text
Proactive monitoring of Common Vulnerabilities and Exposures (CVEs) with proactive resolution
Use SASL_Plain to only accept secure connectors and single sign on with your identity providers
Data can be encrypted at-rest and encrypted in-transit between Kafka and clients
Granular control over application access and management of topics and consumer groups
How can you ensure your Kafka infrastructure is flexible enough to adapt to your changing cloud requirements?
How do you distribute real-time events across the globe and make them accessible from anywhere?
How do you maximize the value of your real-time data and harness the full power of event streaming?
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