AISecOps Kafka Ingestion Pipeline orchestrates real-time security event processing using Kubernetes-native components and Kafka as the event backbone. Remote Kafka Cluster feeds into stage0 Pod Group (auto-scaled via HPA) running Kafka Puller containers within the aisecops Namespace, which forward events through Payload Analysis for rule-based detection and Deduplication with custom logic before persisting to a Deduplicated Store. This architecture demonstrates event-driven security data ingestion with horizontal scaling, enabling teams to handle variable threat detection workloads without manual intervention. Fork and customize this diagram on Diagrams.so to adapt ingestion stages, add storage tiers (Raw, Curated, Aggregated), or integrate additional processing logic. The HPA-driven stage0 Pod Group ensures cost efficiency by scaling replicas based on Kafka lag and CPU metrics.