The Analysis Report shows the signals imper.ai evaluated during a verification, so you can see exactly why it received its result.

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Categories

The report groups the evaluated signals into the following categories:

• Network - network-based signals, such as VPNs and masked networks.
• Location - location-based signals, such as access from an unexpected region.
• Device - device signals, such as a virtual machine or an uncommon browser.
• Tools - the presence of suspicious tools, such as remote-access software.
• Identity - identity signals, such as the user's email domain.

For a detailed explanation of the detections behind each category, see Detections and Risks.

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Signal Types

Within each category, every signal is shown with its value and labeled by what it means for the verification:

• Positive information - a signal that supports the user's identity.
• Neutral data - contextual information that does not affect risk on its own.
• Anomaly - a signal that raised a concern and contributed to the risk score.

Seeing positive, neutral, and anomalous signals together - each with its value - gives recruiters and admins the full picture behind a result, not just the flagged issues.