Panther Labs

Panther Labs is a cybersecurity company that provides a cloud-native

Security Information and Event Management (SIEM) and detection platform for monitoring, analyzing, and responding to security telemetry at scale.

• Cloud-native SIEM and detection-as-code platform for Security Operations (SecOps) (security analytics).
• Centralized collection and normalization of logs and security telemetry from cloud, identity, endpoint, and application sources (log management).
• Detection-as-code workflows using languages and tooling familiar to engineering teams for authoring, testing, and version-controlling detection logic (security automation).
• Alerting, investigation, and incident response features that integrate with common security and IT operations tools (SOC operations).
• Scalable analytics architecture that stores normalized telemetry for querying, threat hunting, and compliance reporting (data analytics for security).

More About Panther Labs

Panther Labs focuses on cloud-first SecOps by providing a SIEM platform (security analytics) that runs on cloud infrastructure and is built to process large volumes of telemetry from modern environments. The platform targets enterprises that operate in public cloud, containerized, and SaaS-heavy architectures and that require centralized visibility into security-relevant activity across these domains.

The Panther platform (security analytics) ingests logs and events from cloud service providers, identity providers, endpoint security tools, network devices, and application components, then normalizes them into a common schema for analysis. This enables security teams to correlate activity across services, detect suspicious behavior, and retain data for investigations and compliance. The system is designed to support streaming and batch ingestion of structured and semi-structured data formats that are common in cloud and security tooling.

A defining element of Panther’s approach is the use of detection-as-code (security automation), where detection logic is managed using software engineering practices. Detection rules are defined in code, version-controlled, tested, and deployed using workflows familiar to DevOps and engineering teams. This model enables reuse, peer review, and iterative improvement of detection content, in contrast to purely UI-driven rule configuration common in traditional SIEM deployments.

Panther Labs integrates with threat intelligence feeds, alerting channels, ticketing systems, and collaboration tools, allowing alerts generated by the platform to connect directly into existing SOC processes (SOC operations). The platform supports investigative workflows, including search across normalized telemetry, enrichment of events with context, and case management integrations. These capabilities place Panther within the SecOps stack alongside endpoint detection, identity security, and Cloud Security Posture Management (CSPM) tools, with Panther acting as the central analytics and correlation layer.

From an architectural perspective, Panther leverages scalable cloud data infrastructure (data analytics for security), enabling enterprises to store and query security telemetry over extended periods while managing cost and performance. This supports threat hunting, historical investigations, audit requests, and compliance reporting. In marketplace and directory taxonomies, Panther Labs aligns most directly with SIEM, log management, and security analytics, with secondary classification in detection engineering and security automation due to its detection-as-code capabilities and integrations into DevSecOps workflows.