SOAR / Automation
LimaCharlie collects and normalizes telemetry from the full stack, then lets you automate detection and response on top of it. Because the platform sits in the data path rather than beside it, automation acts on events as they happen instead of after a SIEM round trip.
Ingest and normalize
Telemetry from endpoints, cloud platforms, and security tools arrives as structured JSON, so one rule format works across every source.
Filter
False positive rules and filtering cut noise before it reaches an analyst, and everything, including what gets filtered, stays searchable for a year.
Respond bi-directionally
Automated responses go back to the source of a detection. When a suspicious login alert arrives from O365, a rule can suspend the account directly, closing off the persistence path in the same moment the alert fires.
Automate the repetitive work
Python playbooks handle standard multi-step procedures, and the API covers every platform capability, so anything an analyst can do manually can be scripted.
Deploy your first sensor on the free community tier, or walk through it with a solutions engineer.
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