beenuar/AiSOC: README-based editorial guide
A guide grounded in the README, repository metadata, and license for installing and checking beenuar/AiSOC.
Project scope
beenuar/AiSOC describes itself in the README as "Open-source AI-powered Security Operations Center , alert fusion, purple-team drills, agent-assisted triage, MITRE ATT&CK investigation. MIT-licensed, self-hostable.". This article keeps to facts that can be checked in the repository. Stars, forks, and promotional badges are signals of attention, not proof of quality. Under "AiSOC", the README says: An open-source, self-hostable AI SOC. The agent's prompts, tool calls, and rationale are logged step-by-step and replayable. MIT-licensed.. That establishes the project's stated boundary, not a production test.
Suitable use cases
The README's "What's in the box" section gives a useful starting point for deciding whether the project fits: End-to-end SIEM spine , a cold docker compose up ingests connector data → lands it in the ClickHouse event lake → the executable detection corpus (947 rules) fires on the live stream → a fused alert is created, all asserted by an extended. If that problem is not yours, popularity is a poor reason to adopt it. Project names, commands, and component names are kept as written so a reader can return to the primary source without guessing at terminology. Another checkable README item is: 83 click-and-connect data connectors (EDR/XDR, SIEM, NDR, cloud, CNAPP, identity, SaaS, VCS, K8s audit, network) with schema-driven config, live Test connection, and vault-encrypted secrets , recently adding Qualys, GreyNoise, JumpCloud,. It can shape a first test, but it does not replace testing in the intended environment.
How it works
The operating model is spread across sections such as "Try AiSOC in 60 seconds". The source evidence includes: The wedge CLI scores a batch of alerts to verdicts (escalate / review / suppress) with a deterministic engine ported from the production triage scorer , zero LLM key required.. This article does not turn missing architecture, performance, or security details into claims. A real deployment still needs a look at the repository layout, configuration files, and release history.