AiSOC vs rsigma
AiSOC: AiSOC is an open-source, self-hostable AI Security Operations Center designed to ingest security telemetry, detect and correlate threats, and investigate incidents using auditable AI agents. It provides proposed responses that require human approval, ensuring secure and transparent operations.; rsigma: RSigma is a comprehensive detection engineering toolkit for the Sigma detection standard, offering a parser, evaluation engine, rule conversion, streaming runtime, linter, CLI, MCP, and LSP. It processes Sigma YAML rules into a strongly-typed AST, compiles them into optimized matchers, and evaluates them against log events in real time, featuring in-process stateful correlation logic.
TL;DR
- You want a self-hosted SOC where an AI agent investigates incidents, logs every prompt and tool call, and a human approves each response.
- You want to run with no API key: it bundles a local `llama3.2:3b` model.
- Your telemetry is in Splunk, Sentinel, Elastic, CrowdStrike, Okta, AWS, Wiz or Kubernetes, among 84 connectors.
- You cannot give it 8 GB memory and 20 GB disk for the core profile, or about 12 GB for the full one.
- You need a hosted model: the README says no hosted model provider has been tested.
- You need proven detection: 2,603 of 6,991 rules are executable, which proves reachability, not that they catch attacks.
Real-time security threat detection by streaming log events against Sigma rules.
Side-by-Side Comparison
AiSOCrsigmaFeatures
AiSOCrsigmaUse Cases
AiSOCrsigmaBest For
AiSOCrsigmaFAQ
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