Endpoint ProtectionSecurity Operations
LimaCharlie SecOps Cloud Platform
Delivers EDR, telemetry, custom detection rules, and response automation as cloud primitives.
LimaCharlie SecOps Cloud Platform Overview
What it does
The LimaCharlie SecOps Cloud Platform delivers security operations as cloud-native, API-first primitives that teams compose instead of buying separate tools. It provisions Endpoint Detection and Response (EDR), telemetry ingestion, a Detection and Response engine, and automation the way a public cloud provisions infrastructure, billed by usage. The distinguishing idea is security infrastructure as a service: one sensor and a set of adapters feed a single Detection and Response engine, with detections written and version-controlled as code rather than limited to vendor-shipped content.
How it works
A single lightweight sensor covers Windows, macOS, Linux, Docker, and ChromeOS, while adapters ingest logs and files from almost any source into a datalake that includes one year of retention. All telemetry streams through the Detection and Response engine at wire speed, where teams subscribe to open-source and curated rulesets or author their own logic, including YARA and Sigma-style rules. Automated playbooks then run response actions such as isolation, process termination, and scripted remediation, with a detection-to-response round trip as fast as 100 milliseconds. An in-flight observability pipeline can transform, enrich, and forward the same data to any destination.
Credentials and traction
SOC 2 certified against the security, availability, and confidentiality criteria, with a public trust center and GDPR-aligned data handling. The platform grew out of the open-source LimaCharlie endpoint agent and is used by managed security service providers, managed detection and response and incident-response firms, and enterprise security teams that build and run their own detection and response rather than outsourcing it.
Key Capabilities
mapped to solution categoriesDetects active identity attacks (credential stuffing, MFA bypass, session token theft, lateral movement using stolen credentials) correlated across authentication and access logs.
Delivers detection, behavioral analysis, and response across Windows, macOS, and Linux agents, with non-Windows coverage depth a common evaluation point.
Lets analysts author, test, and deploy their own detection logic, such as Sigma, YARA, or query-based rules, alongside the vendor's detection content, with tuning and exception handling, so detections can be adapted to the environment rather than limited to what the vendor ships.
Ingests events from non-endpoint sources (firewall, identity, email, cloud) into the EDR platform for cross-signal correlation, enabling XDR-style detection without a separate XDR product.
Provides a query interface over telemetry (process tree, network connections, registry events, file events), for analyst-led investigation independent of alert workflows. Differentiation is query language expressiveness and historical data retention.
Executes isolation, process kill, or persistence removal actions automatically upon detection without waiting for analyst approval. Speed of automated response directly affects breakout time mitigation.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on September 7, 2026
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