User and Entity Behavior Analytics is usually a scoring layer on authentication logs. Vedric adds endpoint process and command metadata, security-event cadence, DNS/network aggregates, sensitive-extension inventory and removable-media writes.
THE PROBLEM
It surfaces who logged in, when, from where, and how often. That signal is real. It is also a small slice of endpoint behavior. Process launches, command-line shapes, authentication-event cadence, DNS history and host-level network drift happen below that auth layer. Vedric does not claim per-file reads or content inspection.
Most UEBA inputs are AD events, VPN logs, and SSO sessions. The user looks normal at login; the divergence is what they do after login. UEBA does not have endpoint primitives in its index.
Log aggregation collapses behavior into counts and sessions. A specific PowerShell command run with specific arguments, in a specific timeline, against a specific peer baseline that fidelity is lost in aggregation.
Peer clusters are often defined by AD group membership and rarely re-cluster. A user whose actual behavior shifts away from their peers will keep being scored against the wrong cohort.
UEBA scores tend to be per-event or per-session. The high-value signal is correlation across days a pattern UEBA modules typically only surface in retrospective hunts, not as a live alert.
Vedric collects endpoint process, command, authentication, DNS/network aggregate, sensitive-extension inventory and removable-media metadata, then correlates supported deviations across user, peer and endpoint contexts.
The agent reads the user's behavior at the layer where the action actually happens. Login is a footnote. The story is what the session does once it is open.
Peer groups are derived from observed behavior in addition to organizational metadata. A user who has actually moved roles is reclustered. The cohort comparison stays meaningful as the org changes.
A deviation on Monday and a deviation on Friday on the same identity are correlated into one storyline if the underlying pattern matches. Single events are footnotes; storylines are alerts.
EXAMPLE SCENARIO · TIMELINE
A senior engineer with broad access starts working slightly later, runs slightly more queries, and touches a few systems they have not touched in months each event individually well within their entitlements.
Same user, same auth pattern, same SSO source. UEBA had no actionable surface because none of the auth dimensions changed enough. Vedric saw the behavior beneath the login.
Vedric minimizes content by design. The collector enforces the refusal list and the documented bounded PowerShell exception in agent code.
Read the full privacy stance →Early access is offered to teams whose UEBA is not telling them what they need and who want endpoint-first behavioral signal as a complement, not a replacement.