Cloud threats escalate quickly, but mitigation of an attack can still take hours or days. Today’s SOC teams lack real-time visibility and direct access to the cloud, keeping Mean Time to Respond (MTTR) high with increased risk of damage to organizations. The result isn’t just delay – it’s incomplete response. Threats persist, impact spreads, andresolution often falls short.

Traditional Endpoint Detection and Response (EDR) solutions are designed to detect and respond to threats at the workload level, monitoring processes, file integrity, and behavioral anomalies. However, EDR lacks visibility into the cloud layer, where modern attacks frequently originate. Let’s walk through real-life attack scenarios that demonstrate where EDR misses context, and how Stream Security fills the gap.

Security Information and Event Management (SIEM) platforms are essential for aggregating and analyzing logs from diverse environments, including on-premises infrastructure, cloud platforms, and SaaS applications. However, SIEMs often struggle to interpret the complexity of cloud-native attacks due to the intricate nature of cloud identities, configurations, and networks.

Cloud-based deception traps are emerging as high-fidelity detection tools that can operate at scale with little overhead. When integrated into a real-time Cloud Detection and Response (CDR) platform, traps become more than detection points—they become early warning systems, attack disruptors, and intelligence sources, all operating in lockstep with your broader cloud defense strategy.