RunReveal

RunReveal is a security analytics and detection platform that processes and correlates security-relevant log data to help organizations identify threats and suspicious activity.

• Log-centric security analytics platform for detection engineering and threat investigation (security analytics).
• Correlation and enrichment of event data from multiple sources, including identity, infrastructure, and application logs (SIEM-adjacent security monitoring).
• Support for detection-as-code workflows, enabling security teams to manage and version detection logic alongside software development processes (detection engineering).
• Query and analysis environment for security telemetry to support incident response, triage, and threat hunting (security operations).
• Cloud-delivered platform designed to integrate with existing logging and data pipelines (cloud Security Operations (SecOps)).

More About RunReveal

RunReveal operates in the security analytics and detection engineering category, providing a platform that focuses on analyzing log and event data to identify potential threats in enterprise environments. It is designed for SecOps center teams, incident responders, and detection engineers who need structured workflows for authoring, testing, and maintaining detection logic against large volumes of security telemetry. The platform is oriented toward environments where security data already flows through centralized logging or data platforms and where teams want programmatic control over detections.

The RunReveal platform ingests and processes log data from various infrastructure, identity, and application sources, then applies rules and detection-as-code logic to surface suspicious patterns. This aligns it with Security Information and Event Management (SIEM) and security analytics categories, while emphasizing developer-style practices for managing detections. Detection-as-code workflows typically rely on version control systems, code review, and Continuous Integration (CI) pipelines, and RunReveal is positioned to fit into these practices so that detection logic can be treated similarly to application code.

Technically, RunReveal is described as working with common logging and telemetry architectures used in cloud-native and modern enterprise stacks. This can include log forwarding agents, message queues, or data pipelines that move events from infrastructure, applications, and identity providers into centralized storage or processing layers. Within that context, RunReveal focuses on the security layer: expressing detection rules, evaluating them at scale, and exposing alerts and context for security teams. The platform is built to interact with structured log formats and standard protocols used in logging ecosystems, while leaving storage and some data infrastructure choices under customer control.

In comparison to traditional SIEM platforms (security analytics), RunReveal places emphasis on detection engineering and code-driven workflows. Rather than centering on a monolithic event storage and search interface, its value is in the way detections are modeled, tested, and deployed, and in how it connects to existing log and data infrastructure. This positions RunReveal as a tool that can coexist with log management and observability systems while contributing security-specific logic and workflows.

Within an enterprise technology directory, RunReveal can be categorized primarily under security analytics, SIEM-adjacent security monitoring, and detection engineering platforms. It is suitable for organizations that maintain centralized logs and want structured, code-centric approaches to building and operating detections across identity, infrastructure, and application layers. By focusing on detection-as-code, RunReveal supports collaboration between security and engineering teams and enables reuse of existing software development practices in the security domain.