A UEBA alternative that reads endpoint behavior

User and Entity Behavior Analytics (UEBA) usually scores authentication logs. Vedric adds endpoint process and command metadata, security-event cadence, DNS/network aggregates, sensitive-extension inventory, and removable-media writes.

Currently supports Windows endpoints.

Limits of log-based UEBA

Most UEBA is a dashboard on top of authentication logs. It shows who logged in, when, from where, and how often. That signal is real, but it covers a small part of endpoint behavior. Process launches, command-line shapes, authentication-event cadence, DNS history, and host-level network drift happen below the authentication layer. Vedric does not claim per-file reads or content inspection.

What UEBA does not see

  • Auth-centric

    Most UEBA inputs are AD events, VPN logs, and SSO sessions. The user looks normal at login; the change is in what they do afterward. UEBA does not have endpoint events in its index.

  • Aggregated events

    Log aggregation reduces behavior to counts and sessions. A specific PowerShell command with specific arguments, in a specific timeline, compared to a specific peer baseline: that detail is lost in aggregation.

  • Static peer groups

    Peer groups are often defined by AD group membership and are rarely re-clustered. A user whose actual behavior moves away from their peers keeps being scored against the wrong cohort.

  • No correlation over time

    UEBA scores are usually per event or per session. The most useful signal is correlation across days, which UEBA modules typically surface only in retrospective hunts, not as a live alert.

What Vedric collects and correlates

Vedric collects endpoint process, command, authentication, DNS/network aggregate, sensitive-extension inventory, and removable-media metadata. It then correlates supported deviations across user, peer, and endpoint contexts, with an evidence chain.

  • Lower layer

    Endpoint behavior

    The agent reads user behavior on the endpoint, where the actions happen. The login matters less than what the session does after it opens.

  • Drift-aware

    Re-clustering peer baselines

    Peer groups are derived from observed behavior as well as organizational metadata. A user who has actually moved roles is reclustered, so the cohort comparison stays meaningful as the organization changes.

  • Cross-day

    Multi-day storylines

    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 logged; storylines become alerts.

Example: UEBA and Vedric on the same user

A senior engineer with broad access starts working slightly later, runs slightly more queries, and touches a few systems they have not used in months. Each event is well within their entitlements.

  1. T+02 - UEBA: nothing. Login pattern still within normal range. Vedric: logs the first off-baseline command against the user's personal baseline.
  2. T+05 - UEBA: nothing. Auth source unchanged. Vedric: a first-time share-enumeration command targets a system outside the user's recent pattern.
  3. T+08 - UEBA: nothing. Vedric: temporal deviation. The user worked outside their personal hours window.
  4. T+09 - UEBA: nothing. Vedric: multiple correlated deviations on the same identity. Storyline created.
  5. T+11 - UEBA: small score increase on session count. Vedric: privilege drift added, a command not seen in the last six months.
  6. T+12 - UEBA: still no actionable alert. Vedric: the storyline now has five correlated deviations at high confidence. One alert reaches the analyst.

Outcome

Same user, same authentication pattern, same SSO source. UEBA had nothing actionable because none of the authentication dimensions changed enough. Vedric detected the behavior after login.

How Vedric differs from UEBA

What Vedric does

  • 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

What 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

What Vedric does not collect

Vedric is designed to minimize content collection. The agent code enforces the list of refused collectors and the documented, bounded PowerShell exception.

Read the full privacy stance
  • No keystrokes
  • No screenshots
  • No webcam
  • No microphone
  • No file contents
  • No private messages

Frequently asked questions

Early access

Early access is for teams whose UEBA is not giving them what they need and who want endpoint behavioral signal as a complement, not a replacement.

Request Early AccessRequest a demoResponse within one business day.