LimaCharlie vs Panther

LimaCharlie is an API-first SecOps platform for telemetry, detection, and response. Its endpoint tools gather EDR telemetry, monitor process, network, file, and user activity, and support YARA scans and automated response. The endpoint agent supports Windows, Mac, Linux, Docker, ChromeOS, Chrome, and Edge. LimaCharlie can ingest structured JSON, Syslog, or CEF data, including on-premises sources and cloud-to-cloud feeds. Users can define detection criteria and response actions in YAML, then automate actions across endpoints, APIs, clouds, and multiple tenants. Rules, sensors, and configurations can also be defined in YAML or Terraform with version control, auditability, and rollback. Multi-tenancy is designed for MSSPs to separate customer environments while centrally managing rules, sensors, and automation. The Community tier is free and allows up to two endpoints. Standard lists EDR at $3 a month per endpoint. The pricing page lists SOC 2 Type II, GDPR, CCPA, and PCI-DSS under security and compliance.

Panther is an AI SOC platform for security teams that ingests and normalizes security logs, detects threats, and supports alert investigation and response. Panther AI can query a data lake, review detection logic and alert history, gather context from connected tools, resolve noisy alerts, and escalate high-confidence threats. Its AI Detection Builder turns plain-language threat descriptions into Python detections. Teams can write, test, and version custom rules through CI/CD and GitHub code review, using PantherFlow and SQL. Snowflake or Databricks can serve as the security data lake while data remains in the customer’s warehouse. Integrations include AWS CloudTrail, Okta, GitHub, Slack, CrowdStrike, Databricks, and PagerDuty; MCP connections include Slack, PagerDuty, Notion, GitHub, and Atlassian. Deployment is available as managed SaaS or Cloud Connected. Panther provides a REST API and states that data is isolated in dedicated instances with 99.9% SLA-backed uptime.