Faster cloud detection via Netskope and Abstract Security

"Instead of waiting for log data to be stored and processed, analysis now takes place as the information flows through the security architecture, explains SiliconANGLE. Many security teams encounter the same problem in cloud environments. The amount of telemetry is growing rapidly, but detection often depends on retrospective analysis. This leads to delays, higher costs, and limited visibility. The collaboration between Abstract Security and Netskope aims to break this cycle by moving security analysis earlier in the data journey."

"Within the integration, telemetry from Netskope One is directly incorporated into Abstract Security's data processing platform. There, the data is enriched and assessed before being forwarded to systems for logging, monitoring, or analysis. Only signals that are actually relevant to security remain, preventing security teams from drowning in irrelevant data. According to Abstract Security, this approach not only results in faster detection but also a better balance between insight and costs."

"Another advantage is that organizations have more control over their data. Processing takes place before information reaches external platforms. This allows customers to decide for themselves what data is stored and where it ends up. This aligns with the growing focus on data sovereignty and control in cloud security. The solution is designed to be used without extensive implementation. Abstract Security and Netskope have jointly developed an integration to minimize disruption to existing security architectures."

The integration between Abstract Security and Netskope routes Netskope One telemetry into Abstract Security's data processing platform so analysis occurs while data is in transit rather than after storage. Data is enriched with context such as user information and threat indicators, assessed, and filtered so only security-relevant signals are forwarded to logging, monitoring, or analysis systems. The approach reduces the volume of stored and indexed data, lowering operational costs and enabling faster threat detection. Processing before external platforms gives organizations more control over what data is stored and where it resides. The integration is designed for minimal implementation disruption.

Read at Techzine Global