The paper argues that effective cloud security depends on architecture choices that combine agentless and agent-based approaches. Agentless methods offer fast deployment and broad visibility through APIs, logs, and snapshots, but rely on periodic or delayed data that misses real-time risk. Agent-based approaches provide deep, runtime visibility into system activity using kernel-level instrumentation, enabling behavioral detection, rapid response, and richer context. The paper explains why modern cloud environments require streaming detection, scalable performance, and multi-layer data enrichment across workloads, Kubernetes, cloud services, and identities. It highlights eBPF-based kernel instrumentation as a low-overhead, high-accuracy foundation for runtime security, and shows how correla

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