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EN-C024-046-auth-monitoring-session-risk-graph

English

[EN-C024-046] Auth Monitoring Session Risk Graph

  • Date: 2026-02-15
  • Language: EN
  • Category: Security / Auth Monitoring
  • Status: New

Overview​

Build a real-time authentication monitoring flow that scores login risk by combining device trust, geo drift, token refresh anomalies, and impossible-travel signals.

Why now (Trend)​

  • GitHub security discussions are increasing around passkeys, token replay, and session theft.
  • Reddit ops communities are actively sharing lightweight SOC patterns for small teams.

OpenClaw Implementation​

1) Config enablement​

  • Enable cron, web_fetch, and message tools in Gateway config.
  • Set default model to a fast model (for hourly checks) and keep a higher-quality fallback.

2) API and data setup​

  • Prepare auth event APIs (IdP/SSO logs, reverse proxy logs, cloud sign-in logs).
  • Store read-only API keys in environment variables.
  • Normalize events into a common JSON schema (user, device, ip, country, riskFlags).

3) Operations​

  • Every 10 minutes: ingest + score events.
  • Every hour: summarize abnormal sessions and open incidents.
  • Send high-severity alert to Discord/Slack; write full report into Vault.

Multiple Agents Interaction Pattern​

  • Agent A: collector (API ingestion)
  • Sub-agent B: risk scorer
  • Sub-agent C: summarizer for executives
  • Agent A merges and publishes final output.

Tags​

#OpenClaw #AuthMonitoring #SecurityOps #MultipleAgentsInteraction