Ingest
Accept bounded observations from existing tools and evidence sources instead of forcing a rip-and-replace.
IncidentMesh is a defensive integration layer for incidents that cross system boundaries. It normalizes evidence from AI-agent activity, IAM, cloud events, CI/CD, endpoint and network telemetry, sensors, and field systems into one operator timeline—then ranks the next containment moves without turning every source into another silo.
A browser session calls an agent. The agent holds a cloud role. A deployment pipeline can reach production. An edge device reports a degraded state. Separate dashboards can each be “green” while the combined authority path is not. IncidentMesh gives the operator one evidence model across those systems.
Accept bounded observations from existing tools and evidence sources instead of forcing a rip-and-replace.
Map source, actor, system, action, severity, reachability, and time into one portable incident record.
Group repeated symptoms and surface cross-system chains that deserve operator attention first.
Produce a bounded defensive sequence: preserve evidence, constrain exposed authority, verify state, then restore service deliberately.
Paste newline-delimited JSON. This demo performs deterministic client-side normalization and triage. It does not send data to Cognilode and it does not execute changes on your systems.
Fields: time, source, system, actor, event, severity (1–5), reachable (true/false), evidence.
Load the sample or paste observations, then build the incident picture.
The paid assessment identifies the smallest useful integration boundary: which event sources matter, which authority paths are consequential, how evidence should be normalized, where operator approval belongs, and what can be implemented inside a 48-hour rescue.
SIEM/EDR observations, IAM changes, sessions, credentials, public ingress, CI/CD, and security-tool findings.
Tool calls, delegated actions, provider readback, browser activity, queue state, failed actions, and model-to-system boundaries.
Telemetry from sensors, industrial systems, field robots, inspection drones, and other operational devices where defensive incident coordination must survive intermittent connectivity.
The $250 assessment returns the incident-source map, highest-value integration boundary, prioritized containment workflow, and acceptance criteria. If the evidence supports a bounded implementation, the existing $2,500 48-hour Production Rescue moves the selected path into a working integration.
IncidentMesh is designed for cyber defense, resilience, operational safety, inspection, and incident response. It does not autonomously select or engage targets, generate offensive exploits, or replace the accountable operator for consequential external actions.
The product advantage is integration: making the systems you already have produce one coherent incident picture and a verifiable recovery sequence.