Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
OUTLIER’s Outlier Assessment is a psychological assessment tool for insider risk, designed to measure the likelihood that employees may engage in serious fraud or misconduct. Its core premise is that traditional employee monitoring, data aggregation, and risk prediction tend to focus on behavioral and business data while overlooking employees’ psychological and personality traits. The product aims to fill that gap through psychometric assessment.
In terms of protection type, this is not traditional cybersecurity endpoint protection, SIEM, or DLP. Rather, it is an auxiliary assessment tool for insider risk management. The available materials state that it can be used to predict which employees are more likely to commit fraud or misconduct in specific situations, and to help distinguish the similar and different personality traits between “corporate high performers” and “corporate rule breakers.” Deployment method, data collection scope, assessment workflow, admin console, and alerting mechanisms are not disclosed, so it is not possible to confirm whether it provides real-time monitoring or automated alerts.
Public information indicates that the assessment can be used as a standalone solution or as an enhancement to an existing insider risk model, suggesting it has value as a model supplement or can be embedded into existing processes. However, there is no indication of support for API, HRIS, IAM, UEBA, SIEM, or ticketing system integrations. The page includes GDPR Cookie Consent-related notices, but this is only a website cookie compliance notice and should not be treated as product compliance certification. Pricing, payment methods, contract structure, and trial information are not disclosed; users need to contact the official email address for details.
Its main advantage is its distinctive angle: adding a psychological perspective to internal fraud risk analysis. It may suit organizations that already have employee monitoring, internal investigation, compliance risk management, or insider risk programs in place. The downside is that publicly available information is very limited, with no clear explanation of methodology validation, false positive control, privacy safeguards, labor law compliance, or model governance. It may be worth considering for organizations with many high-trust roles, such as finance, consulting, and critical infrastructure, but buyers should closely examine the scientific validity of the assessment, employee consent mechanisms, and data protection arrangements before procurement.
Information on access from mainland China, payment, and local support is unknown. If cross-border processing of employee psychological data is involved, Chinese companies should also assess personal information protection, employee authorization, data export requirements, and labor relationship risks. Alternative approaches include UEBA, DLP, insider threat management platforms, background checks, compliance training, and localized HR assessment services.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on outlierassessment.com official site.
outlierassessment.com is an United Kingdom Security provider. TG4G tracks its product information, an overall rating of 6.0/10, and a China-accessibility score of Limited (proxy recommended). Click "Visit Official Site" to reach outlierassessment.com directly.