AiSOC vs context-space
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.; context-space: Context Space is the first context engineering infrastructure designed to boost AI agent productivity by providing unified MCP tools, secure integrations, and a 5-minute setup. It enables AI agents to interact effectively with the real world by packaging core capabilities into standardized tools and offering secure access to live data and services.
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.
Empowering AI assistants with real-world capabilities
Side-by-Side Comparison
AiSOCcontext-spaceFeatures
AiSOCcontext-spaceUse Cases
AiSOCcontext-spaceBest For
AiSOCcontext-spaceFAQ
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