Automated UEBA
Analyse user and entity behaviour to surface insider threats, compromised accounts and unusual server activity across on-premises or cloud infrastructure.

Initialising secure environment

Insider Threat & UEBA
InsiderSecurity uses automated cybersecurity analytics to detect malicious insiders, hijacked accounts, compromised servers and unusual access across enterprise, Microsoft 365, cloud and database environments.
The business challenge
Threats that already have legitimate access can remain hidden for months. Security teams need early behavioural detection without manually building and maintaining large volumes of rules.
Core capabilities
Analyse user and entity behaviour to surface insider threats, compromised accounts and unusual server activity across on-premises or cloud infrastructure.
Detect suspicious access to email, SharePoint and OneDrive data, including compromised accounts and accidental public sharing.
Observe database access and automatically identify unusual or unauthorised activity without depending on manually written detection rules.
Simplify cloud-security oversight by identifying suspicious activity, misconfiguration and data-theft risk across the cloud stack.
Reference architecture
Bring identity, cloud and database activity together, learn normal behaviour and surface the small number of anomalies that need investigation. The diagram below shows the product's distinct operating model, data paths and enforcement or decision points.
Example use cases
These examples explain the business purpose behind the architecture. Final scope, integrations and outcomes depend on your environment and implementation design.
A stolen account begins accessing unusual mailboxes and downloading files from SharePoint.
A privileged user runs a bulk query at an unusual time from an unfamiliar source.
Sensitive documents are shared publicly or accessed in a way that does not match normal collaboration patterns.
Delivery path
The exact architecture depends on your environment, but the solution typically follows this practical operating flow.
Collect relevant identity, system, cloud, Microsoft 365 and database activity from the protected environment.
Automated analytics establish behavioural context for users, accounts, systems and data access.
The platform identifies anomalous and high-risk activity that may indicate an insider, hijacked account or compromised server.
Security teams receive prioritised evidence to validate the event, contain exposure and prevent serious data loss.
Typical use cases
Expected outcomes
DLAB's role
DLAB helps customers evaluate the fit, define use cases, coordinate solution demonstrations and proofs of concept, plan deployment with the principal and local partners, and establish the support path for production.
Arrange a solution workshop