Configuring Unify

Unify in Kaseya MDR associates users, devices, and organizations across integrated platforms to provide enriched context during investigation. By correlating identity, device, and access metadata, Unify helps determine whether observed activity occurred on a known, managed device associated with a specific account.

Unify does not generate alerts, modify detection logic, suppress activity, or alter SOC response behavior. Its role is to enrich investigation context by linking related activity across data sources.

Unify role within Kaseya MDR

Unify acts as a correlation and context layer that complements detection, alerting, and investigation workflows.

Using metadata available from connected platforms, Unify evaluates whether activity can be confidently associated with a specific device and account. When sufficient correlation exists, Unify presents that relationship during investigation so analysts can review activity with greater clarity.

This association is informational only and does not change how events are ingested, evaluated, or responded to.

Using Unify in Kaseya MDR with other Kaseya security products

You may already be familiar with Unify through other Kaseya security products. In those products, Unify is used to establish trust at the source by correlating activity with known, managed devices.

When Kaseya MDR is used alongside other products, Unify‑derived context becomes available within SIEM investigations. Depending on which products are in use, this context may originate from SaaS Alerts, Kaseya MDR, or both.

IMPORTANT  Whether configuration and response actions are performed in Kaseya MDR or in an individual product depends on whether the organization is licensed for SIEM. Organizations without a SIEM license continue to be configured and managed directly in the originating product.

Regardless of the source, Unify contributes user and device context as one input into cross‑domain investigation in Kaseya MDR. Investigation and response workflows operate consistently, using available context without requiring different configuration paths for different product combinations.

Data sources used for Unify context

Unify derives device and account context from data provided by supported integrated platforms connected to Kaseya MDR. This may include device inventory, identity attributes, and access‑related metadata originating from endpoint, security, and management tools.

The availability and type of data used for correlation depend on which platforms are connected and how they are configured. Unify uses available metadata to associate activity where sufficient signals exist and does not require changes to data ingestion or detection logic.

Correlation signals and confidence scoring

Unify evaluates multiple data points when associating activity with a device and account. These signals may include:

  • User identity attributes

  • Device identifiers and names

  • Network and access characteristics

  • Platform‑specific metadata from integrated systems

Based on the strength of matching signals, Unify assigns a confidence score indicating how likely it is that the activity occurred on the associated device.

Higher confidence scores indicate stronger correlation across multiple signals. Lower scores indicate partial or ambiguous matches that may require review.

Confidence scoring affects association decisions only and does not influence alert severity or detection outcomes.

NOTE  Confidence scores reflect observed correlation based on available data. They are recalculated as new activity is observed and do not expire or decay automatically.

Understanding confidence scores and suggestions

Confidence scores represent the likelihood that observed activity is associated with a specific device based on available SaaS activity and device data. These scores are probabilistic rather than definitive.

Unify may present account suggestions when sufficient data exists to propose likely associations. A higher confidence score indicates stronger correlation, while lower scores indicate weaker or incomplete matches.

When Unify does not have enough data to meet the confidence threshold for suggestions, it may display No Suggestions. This does not indicate an error or misconfiguration—only that insufficient matching data is currently available.

As additional activity is observed and more correlation signals become available, suggestions may appear automatically without configuration changes.

Shared or ambiguous infrastructure

In environments where devices share common characteristics—such as standardized OS images, shared IP addresses, VPNs, or centralized networks—traditional correlation signals may be insufficient.

Where supported by integrated platforms, Unify can incorporate unique device identifiers to improve correlation accuracy and reduce incorrect associations in shared or homogeneous environments.

Prerequisites for effective Unify association

For Unify to associate activity with devices and accounts, the following conditions must be met:

  • Relevant data sources are connected and actively providing telemetry

  • Organizations are correctly aligned across integrated platforms

  • Devices are visible to Kaseya MDR through supported integrations

  • Sufficient identity and device metadata exists to support correlation

If these conditions are not met, devices may appear unmapped or have lower confidence scores until additional data becomes available.

Investigation context and practical impact

During investigation, Unify enables analysts to:

  • Review whether activity occurred on a known managed device

  • Understand user‑to‑device relationships across platforms

  • Identify activity that appears legitimate but did not originate from an expected device

  • Highlight activity that would otherwise appear low‑risk

This context is especially valuable when reviewing token misuse, credential abuse, or access that bypasses interactive authentication.

Where to access Unify in the UI

Once required data sources are connected, the Unify experience is available directly from the Kaseya MDR interface:

  1. From the side navigation menu, click Unify.

  2. Within the Unify module, you can access the following views:

  • Unify > Unmapped Devices: Review devices that are not yet confidently associated with an account.

  • Unify > Mapped Devices: Review devices that have been confidently associated with one or more accounts.

  • Unify > Ignored Devices: Review devices that have been explicitly excluded from correlation

  • Unify > Automation: Configure optional mapping and unmapping automation.

These views are read‑only until relevant data sources are connected. No separate Unify activation step is required.

Unify association lifecycle (conceptual)

Unify association behavior follows a consistent lifecycle:

Observation and evaluation

Unify observes device, identity, and activity metadata from connected platforms. Using available signals, Unify evaluates whether a device can be confidently associated with an account.

If confidence meets the configured threshold, the device becomes eligible for mapping.

If confidence is insufficient or ambiguous, the device remains unmapped.

Mapping

When mapping conditions are met, either through automation or manual action, Unify creates a device‑to‑account association.

Mapped status reflects current correlation confidence.

Mappings provide investigation context only and may change as new data is observed.

Device correlation (propagation layer)

Device correlation evaluates whether multiple devices are logically equivalent based on shared metadata.

When enabled:

  • A mapping applied to one device can propagate to all correlated devices.

  • An unmapping action applied to one device can propagate to all correlated devices.

Device Correlation does not create mappings by itself; it synchronizes outcomes produced by mapping and unmapping rules.

Unmapping

Unify may remove mappings automatically when configured unmapping conditions are met, such as:

  • Confidence for the mapped account drops below the defined threshold

  • The device has not checked in within the defined time window

  • A correlated device triggers a propagated unmapping action

Unmapping returns the device to an unmapped state unless the device is explicitly ignored.

Ignored state (explicit exclusion)

If a device is ignored, it is removed from the association lifecycle entirely.

  • No correlation is performed

  • No mapping or unmapping occurs

  • Device Correlation does not apply

Ignoring a device is an administrative decision and can be reversed.

Together, these components ensure Unify maintains accurate, consistent investigation context as environments and data change.

Unify views and device states

Unify presents device association status through dedicated views. These views are designed to support review and judgment—not to indicate errors.

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