Panther provides a cloud-native security monitoring platform built around a modern SIEM architecture. The platform centers on an open security data lake that stores and processes security data without vendor lock-in, enabling organizations to ingest, search, and analyze security information at scale. The platform includes several core capabilities: data ingestion from multiple sources, real-time search and analytics, detection and alerting functionality, and AI-powered features for threat detection and investigation. Panther uses a code-driven approach to security operations, allowing teams to automate monitoring and create custom detections using detection-as-code methodologies. Panther AI integrates artificial intelligence throughout the security workflow, from detection creation to incident resolution, designed to reduce manual work and accelerate investigation times. The platform operates on cloud-native infrastructure and offers flexible hosting options to accommodate different organizational requirements. The company targets security operations teams working in cloud environments, with customers including technology companies and organizations requiring scalable security monitoring solutions. Panther positions itself as an alternative to traditional SIEM platforms, emphasizing automation, real-time detection capabilities, and the ability to handle large volumes of security data through its data lake architecture.