UEBA scores logins. Vedric reads endpoints.
User and Entity Behavior Analytics is usually a scoring layer on top of authentication logs. The behavioral signal that matters in an insider incident lives lower at the endpoint, in the command line, in the file-access pattern. Vedric reads there.
THE PROBLEM
Most UEBA is a dashboard on top of authentication logs.
It surfaces who logged in, when, from where, and how often. That signal is real. It is also a small slice of what an insider does. The decisions a logged-in user makes which process they spawn, which command they run, which file they touch, which destination they hit happen below the auth layer. UEBA modules built on log aggregation cannot see that surface, no matter how good the scoring math is.
The signal a UEBA cannot reach.
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.
Endpoint primitives, correlated, with a real evidence chain.
Vedric collects endpoint metadata directly process, command, file, authentication, network, DNS baselines per user, per peer, and per endpoint, and correlates deviations across time. The result is a single storyline that already tells you why this matters.
Behavior at the endpoint, not auth
The agent reads the user behavior at the layer where the action actually happens. Login is a footnote. The story is what the session does once it is open.
Re-clustering peer baselines
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.
Storylines across the calendar
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 privileged user whose pattern bends quietly.
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.
- T+01T+02 - UEBA: nothing. Login pattern still inside normal range. Vedric: logs first off-baseline command on the user personal baseline.
- T+02T+05 - UEBA: nothing. Auth source unchanged. Vedric: scope drift logged file access on a system outside the user six-month pattern.
- T+03T+08 - UEBA: nothing. Vedric: temporal deviation. User worked outside their personal hours window.
- T+04T+09 - UEBA: nothing. Vedric: multiple correlated deviations on the same identity. Storyline materializes.
- T+05T+11 - UEBA: low score uptick on session count. Vedric: privilege drift added command not seen in the last six months.
- T+06T+12 - UEBA: still no actionable alert. Vedric: storyline now contains five correlated deviations and is at high confidence. Single alert reaches the analyst.
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.
A different signal because it is a different surface.
- Endpoint-native collection: process, command, file, network, DNS, authentication
- Per-user, per-peer, per-endpoint baselines computed on raw behavior, not log aggregates
- Multi-day correlated storylines as the primary alert unit
- Tenant-isolated AI triage with verdict, evidence chain, and recommended action
- Append-only audit trail of every detection and response
- Score authentication logs as the primary input
- Aggregate behavior into session-level counts before scoring
- Rely on AD group membership for peer clustering
- Replace your SIEM many teams forward Vedric storylines into SIEM as enriched events
- Read screen content, file contents, keystrokes, audio, or private messages
No keystrokes. No screenshots. No file contents.
Vedric is metadata-only by design. The collector enforces these limits at the source code of the agent.
Read the full privacy stance →- No keystrokes
- No screenshots
- No webcam
- No microphone
- No file contents
- No private messages
Questions buyers ask first.
Read the behavior. Not just the login.
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.