Cloud network visibility is now more critical than ever, as cloud logs increasingly fall short in providing a comprehensive view of security threats. In today’s complex cloud environments, relying solely on cloud-native logs can leave significant blind spots, making real-time network-layer telemetry essential for robust cyber defense.
The promise of simplified security with cloud migration often clashes with the reality of dynamic infrastructure, overlapping APIs, container sprawl, and multi-cloud architectures. These complexities create new attack surfaces that traditional security tools struggle to cover. As common attacks increasingly evade Endpoint Detection and Response (EDR) tools, security teams are recognizing the need for traffic visibility to effectively defend their cloud environments.
The Data Normalization Challenge
Standardizing cloud-native logs presents a significant challenge due to the variations in fields and structures across different cloud providers. Vince Stoffer, field CTO at Corelight, highlights that “the sheer volume of API calls and the constant addition of new services across cloud providers make log standardization and analysis a real challenge.” This fragmentation underscores the importance of network telemetry, which remains consistent across providers and environments.
Most cybersecurity analysts are already familiar with analyzing network data. When cloud telemetry is presented in a similar format, they can quickly identify unusual or suspicious patterns. By adding cloud inventory context (accounts, projects, VPC/VNet, and cluster/pod labels), a common, provider-agnostic signal is created for detection and investigation. This is where Network Detection and Response (NDR) solutions prove invaluable, delivering consistent, real-time cloud network visibility across multi- and hybrid-cloud environments and normalizing telemetry between them.
“Network visibility isn’t optional— it’s the foundation for understanding your environment and catching threats before anomalies become incidents, on the ground or in the cloud.”
Detecting Threats in Dynamic Cloud Environments
Even in dynamic and complex cloud deployments, security fundamentals remain unchanged. Workloads, even short-lived ones, exhibit steady patterns and use predictable ports. Defenders can watch for dependable signals such as:
- Adversaries communicating externally to exfiltrate data or maintain Command and Control (C2) over unusual ports or network protocols.
- Deviations in production containers and managed services, which are typically immutable and consistent after deployment.
- Adversaries with admin access disabling host-based sensors and container runtime monitoring sensors.
- Unusual signs of enumeration or discovery activity between systems or services that may indicate adversaries mapping resources.
Network-level telemetry collection, achieved through traffic mirroring and virtual taps, is largely tamper-resistant and offers visibility independent of host integrity. Combining network data with endpoint and container runtime data enhances detection accuracy in dynamic cloud environments. This approach can reveal various threats, including supply-chain compromises, infostealer-led intrusions, misuse of managed services, and cryptominers.
Effective Cloud Network Monitoring
To maximize the benefits of cloud network visibility, it’s crucial to monitor both east-west (intra-cloud) and north-south (internet ingress/egress) traffic. Focus on container traffic (Kubernetes) to identify deviations after application deployment and analyze TLS metadata (SNI, certificate subjects) to reveal managed service endpoints. DNS data can help identify communications with malicious domains and network tunneling. Utilize flow logs for broad coverage and traffic mirroring/pcap for in-depth analysis. You can find more related Fraudulents news here.
Build an effective workflow by first enabling flow logs and traffic mirroring, noting their latency and fidelity. Pull cloud network telemetry into a unified platform, standardize it, and enrich it with cloud inventory and tags. Establish baselines by role, service, and port, focusing on critical services initially. Monitor egress tightly, profiling managed-service access via TLS metadata and hunting for miner footprints. Flag interactive protocols in containers and correlate endpoint compromises with cloud egress behavior.
Continuously validate your defenses by emulating adversaries to confirm the detection of infostealers, cryptomining, C2, and suspicious admin behavior. Multi-cloud security is achievable by applying timeless network principles to modern architectures. By embracing cloud network visibility, organizations can better understand their environment and proactively catch threats before they escalate into major incidents.
Source: BleepingComputer
