What this core is for
Network security monitor
Docs
Network guardian core for inventory, source health, posture scoring, AI review, and guided security confirmations.
Network security monitor
This runtime component mainly handles orchestration rather than exposing its own direct Verba target.
How often Guardian asks the LLM to analyze network posture after local facts are refreshed.
Key: ai_analysis_interval_seconds Default: 300Read the local ARP cache as passive fallback discovery.
Key: enable_arp_cache Default: TrueRun configured TCP checks for WAN, DNS, or important hosts.
Key: enable_tcp_checks Default: FalseMaximum Guardian events to keep in Redis.
Key: event_retention Default: 1000Choose which network integration Guardian should poll for client and device inventory.
Key: network_integration_provider Default: unifi_network Options: unifi_network, noneRecord events when monitored devices change to offline.
Key: offline_device_alerts Default: TrueHow often Guardian Core refreshes network inventory.
Key: poll_interval_seconds Default: 60Inject compact Guardian context into Hydra system prompts.
Key: prompt_context_enabled Default: TrueMaximum Guardian context characters added to Hydra system prompts.
Key: prompt_context_max_chars Default: 2400How old inventory data can be before Guardian marks it stale.
Key: stale_after_minutes Default: 15Connection timeout for TCP watch checks.
Key: tcp_check_timeout_ms Default: 1500Record events when newly observed devices are not trusted yet.
Key: unknown_device_alerts Default: TrueOptional TCP checks, one per line: Label|host|port.
Key: watch_targetsGuardian is meant to be an operator view for the home or small-business network: collect device facts, let the model interpret them, ask focused questions, then feed the useful context back into Tater.
Guardian starts from an explicit network provider choice instead of assuming one integration forever.
The Guardian tab turns raw network state into an operator-friendly posture view.
Guardian questions are not just things to think about; they are prompts the model wants answered so it can refine the analysis.
Guardian can make Tater's general assistant responses more network-aware without exposing an open-ended Guardian chat.