Sift Security

Sift Security is a cybersecurity company that provides behavior-based threat detection and investigation software for cloud, container, and enterprise environments.

• Behavior analytics for security events and entities across cloud and on-premises (on-prem) environments
• Threat detection and incident investigation workflows for Security Operations (SecOps) teams (security operations)
• Graph-based correlation of users, hosts, containers, and network activity for faster triage (security analytics)
• Integration with existing Security Information and Event Management (SIEM), log management, and infrastructure monitoring tools
• Support for hybrid and cloud-native architectures, including containerized and microservices-based deployments (cloud security)

More About Sift Security

Sift Security operates in the enterprise cybersecurity and security analytics domain, providing products that help SecOps center (SOC) teams detect, investigate, and respond to threats across cloud, container, and traditional infrastructure environments. Its offerings apply behavior analytics and graph-based correlation to large volumes of security event data, supporting workflows that System Integration Testing (SIT) alongside or on top of existing SIEM and log management investments.

The company’s platform ingests event and telemetry data from sources such as SIEM tools, cloud platforms, endpoint agents, and network devices. It then applies behavior analytics to identify unusual activity patterns associated with users, hosts, containers, and applications. By using a graph-based model, the software links these entities and events together, making it easier for analysts to follow attack paths, understand lateral movement, and assess the context of detections. This architecture places Sift Security in categories such as security analytics, threat detection and response, and cloud security.

In cloud and container environments, Sift Security focuses on providing visibility into assets such as virtual machines, containers, Kubernetes clusters, and associated identities and permissions. The platform is designed to support hybrid deployments where organizations run workloads both on-prem and in public clouds. It typically integrates with cloud provider APIs and logging services, enabling monitoring of configuration changes, access patterns, and runtime events related to cloud resources and container workloads.

From a workflow perspective, the platform supports SOC use cases including alert triage, threat hunting, and incident investigation. Analysts can pivot across related entities in the graph – for example, from a suspicious user account to associated hosts, processes, and network connections – to reconstruct potential attack chains. This approach differs from traditional SIEM dashboards that often present detections as isolated alerts, and it is intended to help reduce investigation time and improve signal-to-noise ratios for security teams.

Technically, Sift Security’s offerings intersect with frameworks and practices such as User and Entity Behavior Analytics (UEBA), threat intelligence enrichment, and incident response playbooks. The platform is positioned to work with, rather than replace, existing security infrastructure, consuming data from SIEM and log management platforms and feeding enriched findings back into security workflows. For directory and marketplace categorization, Sift Security maps to security analytics, UEBA, threat detection and response, cloud security, and SOC investigation tooling, serving enterprises that operate complex, hybrid, and containerized environments.