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Real-Time Log Aggregation and Analysis for Cybersecurity
Use Confluent’s data streaming platform to gain real-time visibility into IT infrastructure. Aggregate and analyze a continuous flow of events to allow security systems to identify anomalies instantly rather than wait for batch processing.
Enable Rapid Threat Detection and Response
Data streaming minimizes the latency between data generation and analysis, which enables prompt detection and response to security threats. Confluent provides the ability to aggregate and analyze log data at scale–wherever the source systems may reside–and leverage an event-driven architecture to take immediate actions such as raising an alert for a breach or closing a port.
Leverage real-time data flows and reusable data products across different use cases and lines of business.
Create a comprehensive 360° view of what’s happening across infrastructure and system events.
Build and train machine learning (ML) models with streaming data.
Supply up-to-date, contextualized data for AI to detect malicious activity, bottlenecks, and application errors.
Shorten time to detection and issue resolution.
Build with Confluent
This use case leverages the following building blocks in Confluent Cloud:
Reference Architecture
Continuously ingest real-time log data from sources such as Login Logs, Firewall Logs, IPS Logs, and Web Logs. Leverage pre-built, fully managed connectors to connect source and target systems in minutes across any environment.
Use Flink stream processing to join and perform window aggregations on data streams, creating data products such SuspiciousLogins and Alerts to detect anomalous activities in order to take action quickly. Easily share data products downstream with analytical systems such as Elastic and Kibana for building real-time dashboards as well as Google BigQuery and training AI/ML models.
Leverage Stream Governance to ensure data quality, compliance, and security. Schema Registry helps data adhere to agreed-upon schemas, tracks schema changes, and provides schema evolution history.