Investigate faster
Understand the incident before the tickets arrive.
GenticFlow turns related endpoint signals into one investigated incident with scope, likely cause, affected users, and the right response path before duplicate tickets overwhelm the service desk.
Behind the scenes, GenticFlow learns normal device behavior, groups abnormal patterns, researches existing evidence, and probes representative endpoints before it creates tickets or sends notifications.
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.
Monitoring produces alerts. GenticFlow produces incidents.
The goal is not infrastructure visibility. It is one investigated incident instead of fifty duplicate tickets.
One incident instead of fifty duplicate tickets.
When one print server fails, the whole floor opens tickets. Incident Intelligence sees it as a single event.
- 27 printer tickets
- 6 technicians
- 27 separate investigations
- 1 investigated incident
- 1 investigation
- 27 affected users identified
- 1 coordinated 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.
Baseline
GenticFlow builds baselines by device, user, role, site, application, service, process, and time window, so it can distinguish normal variation from support-relevant drift.
Collect
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.
Detect
Signals fire when behavior moves outside the learned range or starts repeating across related devices, users, sites, or applications.
Correlate
Related signals collapse into one incident when they share timing, site, app, service, device group, or fault pattern.
Investigate
GenticFlow researches the evidence already collected, compares affected endpoints with healthy peers, and probes representative devices to identify scope, common factors, and likely cause.
Respond
The incident is updated before tickets and notifications are sent. Known issues can route into playbooks, environment-specific responses into workflows, and ambiguous cases to technicians 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 cause, and the recommended response path.
Failed Login Burst
Group repeated failed logins from the same external source into one security exposure incident.
Critical Disk Capacity
Create one customer-level incident when critical disk pressure affects enough endpoints to need coordinated action.
Management Service Crash Loop
Flag customer-level failures in management, backup, or security tooling before coverage is lost.
Application Crash
Detect the same application crashing across enough endpoints to indicate a customer-wide issue.
Application Runtime Error
Detect application runtime failures recurring across endpoints from the same underlying cause.
Resource Pressure
Group customer-level CPU or memory pressure across affected endpoints into one incident.
Service Crash Loop
Group repeated service crash loops across endpoints into one customer-level incident.
Critical Endpoint Risk
Raise a customer-level incident when an endpoint accumulates enough critical risk signals to need coordinated action.
Endpoint Connectivity Outage
Detect sustained simultaneous loss to an endpoint's gateway, DNS, and internet targets.
Fleet Connectivity Outage
Group simultaneous connectivity failures across five or more endpoints into one customer-level incident.
Coordinated Administrator Creation
Flag the same administrator account being created across five or more endpoints for authorization review.
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 support-ready incident, not a pile of signals.
When a cluster becomes an incident, GenticFlow runs an automatic Fleet Investigation and 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.
Fleet Investigation
Run full investigations on representative endpoints and check the validated signature across the fleet, automatically or with technician checkpoints, ending in one conclusion you can trace back to each endpoint. Technicians can also start one directly, scoped by organization, connector, group, or tag, with Quick and Complete depth options.
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, context, 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 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, researches the evidence already available, probes representative affected endpoints, compares them with healthy peers, and updates the incident with scope, timeline, likely cause, and next action before the team is notified.
Can incidents trigger a response?
Yes. GenticFlow can investigate incidents automatically before notification, then route the response into an included resolution playbook, custom automation workflow, or technician handoff depending on confidence, risk, approval policy, and verification requirements.
Can technicians ask fleet-wide questions outside an incident?
Yes. Fleet Investigations can be started directly, scoped by organization, connector, group, or tag. Read-only checks can also sweep every eligible endpoint for live conditions such as a running process, a service state, disk pressure, a pending reboot, or connectivity, with filterable results and an export.
See what is spreading before users flood the queue.
GenticFlow turns device signals into automatically investigated support incidents, so technicians get scope, context, likely cause, and the right response path earlier.