UEBA ALTERNATIVE

UEBA scores logins. Vedric reads endpoints.

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.

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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 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.

WHY CURRENT APPROACHES FALL SHORT

The signal a UEBA cannot reach.

AUTH-CENTRIC

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.

AGGREGATED EVENTS

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.

STATIC PEER GROUPS

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.

NO CORRELATION OVER TIME

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.

HOW VEDRIC HELPS

Endpoint primitives, correlated, with a real evidence chain.

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.

01 /LOWER LAYER

Behavior at the endpoint, not auth

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.

02 /DRIFT-AWARE

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.

03 /CROSS-DAY

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.

  1. T+01
    T+02 - UEBA: nothing. Login pattern still inside normal range. Vedric: logs first off-baseline command on the user personal baseline.
  2. T+02
    T+05 - UEBA: nothing. Auth source unchanged. Vedric: a first-time share-enumeration command targeted a system outside the user recent pattern.
  3. T+03
    T+08 - UEBA: nothing. Vedric: temporal deviation. User worked outside their personal hours window.
  4. T+04
    T+09 - UEBA: nothing. Vedric: multiple correlated deviations on the same identity. Storyline materializes.
  5. T+05
    T+11 - UEBA: low score uptick on session count. Vedric: privilege drift added command not seen in the last six months.
  6. T+06
    T+12 - UEBA: still no actionable alert. Vedric: storyline now contains five correlated deviations and is at high confidence. Single alert reaches the analyst.
OUTCOME

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.

WHERE VEDRIC AND UEBA DIFFER

A different signal because it is a different surface.

VEDRIC SURFACES
  • Endpoint-native metadata: process, command, sensitive-extension inventory, removable-media writes, 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 application audit rows for covered analyst and response actions
VEDRIC DOES NOT DO
  • 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
PRIVACY-FIRST BY DEFAULT

No keystrokes. No screenshots. No file contents.

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 →
  • No keystrokes
  • No screenshots
  • No webcam
  • No microphone
  • No file contents
  • No private messages
FREQUENTLY ASKED

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.

Request Early AccessTalk to security teamResponse within one business day.