Sideband detection is Mnemom’s fleet-level oversight. Three detectors — coherence, fault-line, and fleet — run on a configurable cadence and emit advisories when their thresholds fire. The thresholds are not hardcoded: they live in a Trust Posture. This guide shows you how to tune each detector for your fleet.Documentation Index
Fetch the complete documentation index at: https://docs.mnemom.ai/llms.txt
Use this file to discover all available pages before exploring further.
New here? Start with the conceptual overview at Sideband detection for the umbrella picture: what the four detector sources do, how findings cross to runtime via the two-turn dance, and how compliance evidence is preserved. The normative schema is the field-by-field reference for the posture body. The pending advisories schema documents the wire format consumers see.
The three detectors
| Axis | Fires when… | Reads from |
|---|---|---|
| Coherence | Pairwise governance falls below floor, conflict edges climb past threshold, or outlier agents emerge | sideband.coherence |
| Fault-line | Severity meets or exceeds the configured floor | sideband.fault_line |
| Fleet | Outlier agents detected, min pair-score drops below threshold, or fleet partitions into incompatible clusters | sideband.fleet |
enabled flag, a cadence_seconds sweep interval, axis-specific thresholds, and a severity_on_fire value stamped onto the resulting advisory.
The strictest-wins cascade
Every team’s effective posture is composedPlatform → Org → Team. Per-axis composition is strictest-wins:
enabled(bool): OR-true wins (any layer enabling fires the detector)cadence_seconds(number): min wins (shorter = more frequent = stricter)fire_on.*thresholds: min-among-defined wins (lower = fires earlier = stricter)severity_floor: min wins (lower floor = more advisories = stricter)severity_on_fire: max wins (higher = louder advisory = stricter)
coherence.cadence_seconds: 300, every team in that org will run coherence at least every 5 minutes regardless of the team’s own setting.
Workflow: clone Standard, tighten for a banking team
The expected workflow is clone the Mnemom default that’s closest to what you want, then tighten. The Mnemom defaults are immutable; you don’t edit them directly.Step 1 — Clone the Mnemom default
Use the dashboard library at/settings/organization/postures (the “Clone Standard” CTA on the empty state) or the CLI:
Step 2 — Tighten coherence cadence
A banking team needs faster anomaly surfacing than the 10-minute Standard cadence. Open the new clone in the editor (/settings/organization/postures/{id}) and drop the cadence slider on the Coherence axis from every 10 min to every 5 min. The “Effective composed” column on the right updates immediately — strictest-wins folds the cadence to 300s.
In YAML, the change is:
Step 3 — Tighten the conflict-edge threshold
For a fleet where any disagreement matters, drop the conflict-edge threshold from3 to 1:
1 — strictest-wins keeps the org’s value.
Step 4 — Raise severity-on-fire
When this detector fires, you want it loud:severity_on_fire is unusual — it’s the one field where max wins instead of min. The reasoning: a louder advisory at a downstream layer should not be quieted by an upstream layer’s lower setting. When two layers disagree on loudness, the louder one wins.
Step 5 — Save as a new revision
Click “Save as new revision” in the editor. The dialog reminds you that posture revisions are forward-only — the current revision becomes a queryable historical entry; the new revision becomes live. Add achange_summary so the revision history reads as a narrative:
“Tightened coherence cadence + conflict-edge threshold for SOC 2 review. Severity raised to high.”
Step 6 — Assign to the banking team
On the Banking team’s detail page (/dashboard/teams/{teamId} → Trust Posture tab), the Posture Assignment Control surfaces the org library + Mnemom defaults. Pick the new clone and click Apply. The cascade tree updates immediately to show:
Tuning fault-line detection
The same workflow applies to fault-line. The two knobs that matter:-
severity_floor— findings below this severity are dropped.lowlets every fault line surface;criticalis “only show me the worst.” Most banking fleets settle onmediumfor the org default andhighfor noise-sensitive teams. -
use_reputation_scores— whentrue, the detector weightsimpact_scoreby each agent’s reputation. This is on by default in Standard and should stay on for compliance-grade fleets — it gives more weight to fault lines involving low-reputation agents.
Tuning fleet detection
Fleet patterns are independent — each can be enabled or disabled separately:-
outliers— fires when any agent is more than 1σ below the fleet mean on any value dimension. Always-on for healthy fleets. -
min_pair_score_below— fires when the worst pair-score drops below this. A higher value fires more often (stricter). Banking-grade clones typically tighten this to0.7;nulldisables the pattern entirely. -
cluster_partition— fires when the fleet partitions into incompatible clusters (compatibility ≥ 0.7 in the SDK). Important for fleets where coordination across the whole population matters.
Disabling a detector
Setenabled: false to disable an axis entirely at any layer. Strictest-wins still folds upward — if your org enables coherence and a team disables it locally, coherence still fires for that team (OR-true wins on enabled). The only way to fully disable a detector is to set enabled: false at every layer (including the platform default, which Mnemom owns and won’t change for you).
See also
- Trust Posture — concept overview
- Mnemom-shipped default postures — Standard / High-Compliance / Low-Latency rationales
- Trust Posture schema — normative field reference
- Posture cloning workflow — the clone-and-customize pattern in depth
- Compliance attestation foundation — versioned postures as audit evidence