DetectFlow Moves Threat Detection to Ingestion
SOC Prime’s DetectFlow Enterprise moves threat detection directly into the data ingestion layer. This transforms streaming pipelines into real-time threat detection engines. This shift means security is no longer a batch process but a continuous, pipeline-integrated function, reducing dwell time and improving incident response.
DetectFlow Enterprise aims to cut down the time security teams spend identifying and responding to threats by embedding threat detection into the data ingestion layer. This approach allows for immediate analysis of data as it enters the system, enabling quicker identification of malicious activity. SOC Prime claims this reduces dwell time, the period a threat remains undetected, and accelerates incident response. The upgrade to DetectFlow Enterprise reflects a growing trend towards real-time security operations. Traditional security models often rely on batch processing, where data is analyzed in chunks at scheduled intervals. By shifting to a continuous, pipeline-integrated function, DetectFlow seeks to provide security teams with up-to-the-minute insights. SOC Prime's DetectFlow integrates with existing security information and event management (SIEM) and security orchestration, automation, and response (SOAR) systems. This allows organizations to leverage their current security investments while benefiting from real-time threat detection capabilities. The platform supports a variety of data sources, allowing for comprehensive threat detection across the entire IT infrastructure.
