Incident intelligence
Incidents investigated before the queue fills.
GenticFlow turns device signals into support-ready incidents, showing what changed, who is affected, likely root cause, and the response path before technicians are buried in duplicate tickets.
Behind the scenes, GenticFlow learns normal device behavior across users, clients, sites, and environments, then groups abnormal patterns into one investigated incident with scope, evidence, and next action.
Local resolver cache drift on Finance laptops.
Network AnomalyHealthy endpoints confirm the gateway and NetSuite are reachable. Run the DNS/cache fix path on the three affected endpoints, then verify HTTP response.
How it works
From device signal to support-ready incident.
The goal is not more alerts. The goal is one support-ready incident record that says what changed, where it is spreading, what probably caused it, and what should happen next.
Collect support-relevant signals
GenticFlow agents observe device health, services, processes, events, update state, network behavior, and past resolution outcomes so support teams can see early signs of user-impacting issues.
Learn what normal looks like
GenticFlow builds baselines by device, user, role, site, application, service, process, and time window, so it can distinguish normal variation from support-relevant drift.
Spot abnormal patterns
Signals fire when behavior moves outside the learned range or starts repeating across related devices, users, sites, or applications.
Group related signals into one incident
Related signals collapse into one incident when they share timing, site, app, service, device group, or fault pattern.
Understand scope and common factors
GenticFlow compares affected and healthy devices, checks the scope, and finds common factors so technicians can see whether this is one device, one group, one app, one site, or something spreading.
Route the response
Known issues route into playbooks, environment-specific responses route into workflows, and ambiguous cases open the technician workbench with evidence attached.
Signal use cases
Signals GenticFlow can turn into support context.
These are not alerts for the sake of alerts. They are device-level signals GenticFlow can use to explain why users are about to experience issues, or why several support requests point to the same cause.
Application Crash
Detect repeated Outlook, browser, line-of-business app, or agent crashes before users report the same failure.
Firewall Disabled
Flag endpoints whose firewall state moves outside expected policy so the team can investigate drift.
New User Account
Surface unexpected local account creation as a security-sensitive endpoint signal.
Security Event
Detect unusual authentication behavior and preserve the endpoint/user context for investigation.
Service Issue
Catch recurring service crashes or restart loops, such as spooler, VPN, update, or backup services.
Unusual Log Activity
Use Windows event logs to spot update failures, driver faults, service terminations, and app errors.
Unusual Network Activity
Detect DNS, gateway, connection, or reachability patterns that differ from the endpoint baseline.
Unusual Process Activity
Surface processes with unusual CPU, memory, session, or runtime behavior.
Unusual Resource Usage
Detect CPU, memory, disk, uptime, or capacity drift against the learned baseline.
Incident use cases
Support incidents created from related signals.
GenticFlow aggregates related signals into incidents with affected devices and users, investigation state, likely root cause, and the recommended response path.
Widespread Application Instability
Create one incident when the same app starts failing across a site, client, or department.
Likely Bad Update
Identify when a patch, driver, app version, or update correlates with the affected endpoints.
Emerging Issue
Group early weak signals into an incident before the help desk sees a ticket wave.
Endpoint Health Critical
Create an incident when an endpoint or group crosses a critical health threshold.
Recurring Endpoint Issue
Recognize issues that keep returning after apparent resolution and preserve the history.
Correlated Incident
Aggregate different signal types when they share timing, location, app, or fingerprint.
Temporal Pattern
Detect issues tied to a time window, such as after-hours, startup, backups, or patch cycles.
Predicted Threshold Breach
Warn when the learned trend suggests a metric will cross a problem threshold soon.
Unusual Activity
Create an incident when endpoint behavior moves materially outside its learned normal range.
Baseline first
Normal is different in every environment.
A busy workstation, a print server, a backup endpoint, and a finance laptop should not share the same assumptions. GenticFlow treats normal as local to the environment so support teams can spot meaningful drift instead of chasing generic thresholds.
Incident output
A root-cause packet, not a pile of signals.
When a cluster becomes an incident, GenticFlow collects the details an on-call technician would ask for first.
Response paths
Detection is connected to resolution.
Incidents should not stop at diagnosis. GenticFlow connects the incident record to the resolution path that fits the risk and certainty of the case.
Known support issue
Route into a resolution playbook when the incident maps to a supported issue class.
Environment-specific response
Trigger an automation workflow when the fix needs client, site, app, or policy-specific steps.
Technician workbench
Open the technician workbench with the incident context, device evidence, and root-cause hypothesis attached.
FAQ
Incident intelligence questions.
The key distinction: GenticFlow is not trying to become another alert wall. It turns device signals into support-ready incidents with scope, evidence, likely cause, and a response path.
Incidents preserve the evidence chain: signal, aggregation rule, investigation steps, affected endpoints, approvals, actions, and verification.
How is Incident Intelligence different from normal monitoring?
Traditional monitoring produces alerts. GenticFlow turns related device signals into support-ready incidents with scope, timeline, likely root cause, evidence, and a recommended response path.
What does the agent baseline?
The agent can baseline endpoint health, services, processes, event patterns, update state, disk pressure, network behavior, application behavior, user-session patterns, and resolution outcomes.
What happens when an issue starts spreading overnight?
GenticFlow aggregates the related signals into an incident, checks every affected endpoint, compares them against healthy machines, identifies common factors, and updates the incident with scope, timeline, likely cause, and next action.
Can incidents trigger a response?
Yes. Incidents can route into included resolution playbooks, custom automation workflows, or technician investigation depending on confidence, risk, approval policy, and verification requirements.
See what is spreading before users flood the queue.
GenticFlow turns device signals into investigated support incidents, so technicians get scope, evidence, likely cause, and the right response path earlier.