Cloud-native SIEM with streaming detection and cost efficiency
Panther is a cloud-native security monitoring platform built on AWS serverless infrastructure (Go, React, TypeScript, GraphQL) competing directly against legacy SIEM vendors. The hiring mix—engineering and sales equally weighted, with staff-level engineers and manager-tier sales roles—signals a company scaling detection capabilities while pushing into mid-market accounts. Active projects center on sales asset creation for target ICPs and autonomous AI agents for alert triage, addressing two critical pain points: the operational overhead of legacy SIEMs and the cost and toil of manual alert triage.
Panther provides streaming security detection and data lake functionality for cloud environments. The platform integrates with 100+ data sources natively and runs on AWS serverless infrastructure, avoiding the infrastructure overhead that hampers traditional SIEMs. The product targets security and engineering teams at mid-market cloud-native organizations. Teams deploying Panther cite cost reduction and faster incident response as primary drivers; the company's internal focus on triage automation and data source integrations reflects these customer priorities.
Panther's platform is built on AWS serverless, Go, React, TypeScript, and GraphQL. Detection and alerting logic uses Python, and the company uses Terraform and CloudFormation for infrastructure-as-code. Observability runs on Datadog and Sentry.
Core product work includes autonomous AI agents for alert triage, integrations with 100+ data sources, and AI SOC platform development. Go-to-market priorities focus on sales asset creation and outbound strategy for target ICP accounts.
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