Unify in Kaseya SIEM

Unify is a correlation capability used by Kaseya SIEM to connect cloud activity with managed device data from MSP tools such as RMM and endpoint security platforms. Its purpose is to help determine whether activity observed in SaaS applications can be confidently associated with a known, managed device tied to a specific account.

You may encounter Unify context across multiple Kaseya products. Depending on your environment, device‑to‑account associations may originate from connected platforms that provide SaaS activity, identity data, or device telemetry, and then be surfaced within Kaseya SIEM to support investigation.

In Kaseya SIEM, Unify works by comparing metadata from multiple sources—including SaaS application events, identity platforms, and devices reported by RMM or endpoint security tools. By evaluating this data together, Unify assesses whether the cloud activity and the device activity are likely related. Rather than making binary decisions, Unify produces a confidence score that reflects how strongly the available signals support a device‑to‑account association.

When sufficient correlation data exists, Unify helps analysts answer investigative questions such as:

  • Did this activity occur on a known device managed in an RMM or endpoint platform?

  • Is the observed activity consistent with the expected user, device, and location?

  • Is there insufficient or ambiguous data, meaning the device should remain unmapped and be observed further?

Unify evaluates multiple signals, such as IP address, device identifiers, recent user activity, and Microsoft Entra Device ID (when available), to build confidence over time as more activity is observed. It does not rely on a single indicator.

Unify does not make enforcement decisions in Kaseya SIEM. Its role is to enrich events and alerts with device and identity context so analysts can better judge whether observed activity is normal or warrants deeper investigation. Other workflows may use this context as an input when determining how activity is prioritized or investigated.

How Unify works

Unify evaluates whether cloud activity and device activity are related by comparing information observed across connected platforms. As SaaS events, identity activity, and device telemetry from MSP tools such as RMM and endpoint security platforms are ingested, Unify continuously reassesses available data to determine whether an association between an account and a device can be established. Unify is particularly useful for investigating activity that appears normal in isolation but becomes notable when evaluated in the context of known device usage.

These evaluations occur over time rather than at a single point. As environments change and additional activity is observed, association outcomes may strengthen, weaken, or remain unresolved. This allows Unify to operate effectively in environments where identifiers may be shared or ambiguous, such as corporate networks, VPNs, or standardized device images.

To perform this evaluation, Unify considers multiple data points, which 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 calculates a confidence score that reflects how likely it is that observed activity is associated with a specific device and account. Confidence scores are probabilistic rather than definitive.

When sufficient data exists, Unify may present account suggestions representing likely device‑to‑account associations. Higher confidence scores indicate stronger correlation across multiple signals, while lower scores indicate partial or ambiguous matches that may require review.

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.

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.

NOTE  If you are using SaaS Alerts or Kaseya MDR alongside Kaseya SIEM, Unify‑derived context from those products may appear within SIEM investigations. Where Unify configuration and response actions are managed depends on how the organization is licensed. Regardless of the source, Unify contributes user and device context as input into SIEM investigation workflows.

When Unify becomes available

Before Unify can provide correlation context, required data sources must be connected.

In MSP environments, this typically includes connecting an RMM or endpoint security platform, which provides device inventory and device telemetry. Until an MSP tool is connected, Unify has limited or no device context to evaluate.

MSP tools are connected at a single, partner-level scope—commonly the MSP organization. Unify then uses organization mapping to determine how devices and activity should be associated across customer organizations.

Microsoft Entra Device ID (high‑confidence correlation signal)

In environments where devices share public IP addresses, use standardized images, or have non‑unique naming conventions, many traditional correlation signals may be insufficient to uniquely identify a device.

Microsoft Entra Device ID provides Unify with a globally unique, stable identifier that can significantly improve correlation confidence in these scenarios. When available, it is one of the strongest signals Unify can use to distinguish between devices that would otherwise appear identical.

Entra Device ID does not replace other correlation signals. Instead, it acts as a high‑confidence disambiguation signal, particularly in environments where multiple devices share similar attributes.

Example: Using Entra Device ID to disambiguate similar devices

In some environments, multiple devices may appear identical based on traditional correlation signals. For example, devices located behind a corporate firewall or VPN may share the same public IP address, use the same operating system image, and follow standardized naming conventions.

In these scenarios, Unify may observe SaaS activity that could plausibly belong to several devices, resulting in lower correlation confidence or an unmapped state.

When Microsoft Entra Device ID data is available, Unify can compare the device identifier reported by the identity platform with the identifier collected from managed devices. A matching Entra Device ID allows Unify to distinguish one device from others that otherwise appear identical, increasing confidence that the observed activity originated from a specific, known endpoint.

Where to access Unify in the UI

Once required data sources are connected, the Unify experience is available directly from the Kaseya SIEM 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

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.

Related articles

Use the following articles to understand where Unify correlation data comes from, how it is used during investigation, and how Unify relates to other workflows in Kaseya SIEM:

  • Integrations and data sources: Understand how security telemetry from SaaS applications, MSP tools, endpoint platforms, and other sources enters Kaseya SIEM and becomes available for correlation and investigation. Unify relies on these connected sources for device and identity context.

  • Connecting data sources and integrations: Learn how data sources such as RMM and endpoint security platforms are connected to organizations and how those connections determine where activity appears in SIEM.

  • Integrating Datto RMM with Kaseya SIEM: Learn how Datto RMM is connected and mapped so device inventory and telemetry can be used by Unify for correlation.

  • Working with alerts: Learn how Unify‑derived device and identity context appears during alert review to support triage and investigation decisions.

  • Investigating activity using the Analysis page: Perform deeper, correlated investigation when alert context alone is not sufficient. Unify context is commonly evaluated here.