Confluent, Inc. announced new Confluent Cloud capabilities that make it easier to process and secure data for faster insights and decision-making. Snapshot queries, new in Confluent Cloud for Apache Flink®?, bring together real-time and historic data processing to make artificial intelligence (AI) agents and analytics smarter. Confluent Cloud network routing simplifies private networking for Apache Flink), and IP Filtering adds access controls for publicly accessible Flink pipelines, securing data for agentic AI and analytics.
Snapshot queries, a new feature of Confluent Cloud for Apache FlINK, combines batch and stream processing capabilities in one place. Bridging the Real-Time and Batch Divide: However, for AI agents to make the right decisions, they need historical context about what happened in the past and insight into what's happening right now. For example, for fraud detection, banks need real-time data to react in the moment and historical data to see if a transaction fits a customer's usual patterns.
Hospitals need real-time vitals alongside patient medical history to make safe, informed treatment decisions. But to leverage both past and present data, teams often have to use separate tools and develop manual workarounds, resulting in time-consuming work and broken workflows. Additionally, it's important to secure the data that's used for analytics and agentic AI; this ensures trustworthy results and prevents sensitive data from being accessed.
In Confluent Cloud, snapshot queries let teams unify historical and streaming data with a single product and language, enabling consistent, intelligent experiences for both analytics and agentic AI. With seamless Tableflow integration, teams can easily gain context from past data. Snapshot queries allow teams to explore, test, and analyze data without spinning up new workloads.
This makes it easier to supply agents with context from historic and real-time data or conduct an audit to understand key trends and patterns. Private networking is important for organizations that require an additional layer of security. Confluent offers a streamlined private networking solution by reusing existing CCNs that teams have already created for Apache Kafka®?
clusters. Teams can use CCN to securely connect their data to any Flink workload, such as streaming pipelines, AI agents, or analytics. CCN routing is now generally available on Amazon Web Services in all regions where Flink is supported.
IP Filtering Protects Flink Workloads in Hybrid Environments: Many organizations that operate in hybrid environments need more control over which data can be publicly accessed. IP Filtering for Flink helps teams restrict internet traffic to allowed IPs and improves visibility into unauthorized access attempts by making it easier to track the attempts. IP Filtering is generally available for all Confluent Cloud users.
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