Data exfiltration detection from correlated endpoint metadata

Vedric correlates archive and replication process metadata, removable-media writes, temporal drift, sensitive-extension inventory changes, and host-level network aggregates. These signals can justify a review. They do not prove which content moved.

Currently supports Windows endpoints.

Limits of egress alerts

Network-egress alerts show that bytes moved, but not necessarily why. Process and command drift, unusual archive-tool use, removable-media writes, and after-hours activity can make that signal more useful. Vedric correlates this metadata. Content classification and per-file read evidence are left to DLP or EDR products that actually collect them.

Limits of existing tools

  • DLP rules

    Match on file content and patterns. They miss data when staged files contain no regex-recognizable secret, when the format has been changed, or when data moves in chunks below the rule threshold.

  • Netflow analysis

    Shows the bytes leaving. Good for forensics, weak for prevention. By the time NetFlow shows the spike, the actor has already made the egress decision.

  • EDR file telemetry

    Sees compression and copy events but does not connect them to scope drift, temporal drift, or privilege drift on the same identity. Per-event detection does not show the pattern.

  • CASB

    Monitors sanctioned cloud services. Misses on-premises staging, USB transfers, encrypted transport, and use of sanctioned cloud services that is unusual for this user.

How Vedric detects staging

Vedric correlates supported metadata: temporal drift, archive and replication tool use, removable-media write counts and bytes, sensitive-extension inventory changes, and host-level anomalies in outbound bytes and new-destination counts. Analysts still determine intent and content sensitivity.

  • Precursors

    Staging detection

    First-time use of archive or replication utilities, command-line drift, removable-media writes, and sensitive-extension inventory changes can add staging context. Vedric does not observe bulk reads or repository-level file access.

  • Correlated

    Multi-axis drift on one identity

    Command-scope drift in week one, temporal drift in week two, and drift in host-level outbound bytes or new-destination counts in week three can be correlated on the same endpoint and identity where attribution evidence exists.

  • Confidence

    Egress as confirmation

    Confidence can rise when drift in host-level outbound bytes or new-destination counts correlates with supported precursor metadata. Evidence stays labeled by collector, so an analyst can see what was and was not observed.

Example: a departing researcher stages six months of work

A senior researcher is leaving the company in two weeks. They have legitimate access to everything they want to take. None of the individual events would trigger DLP.

  1. T+01 - Endpoint process, network, and removable-media baselines are stable.
  2. T+04 - The watched sensitive-extension inventory changes. The context is logged. No file open or read is inferred.
  3. T+07 - 7zip runs for the first time on this endpoint in the user's history. A compression-utility deviation is logged.
  4. T+09 - A removable drive appears. Write counts and bytes rise above this endpoint's recent pattern. This is the second axis.
  5. T+10 - Several correlated drifts on the same identity form a storyline. Egress has not been observed yet.
  6. T+12 - Host-level outbound bytes and new-destination counts rise above baseline. The network drift correlates with the existing storyline and raises urgency.

Outcome

The correlated metadata justified an investigation before offboarding. It did not establish which files moved. The analyst would combine it with authorized DLP, storage, or forensic evidence before making that claim.

What it does and does not do

What Vedric does

  • Per-endpoint removable-media write counts and bytes, and sensitive-extension inventory changes
  • Compression and staging utility execution compared against the user's historical pattern
  • Scope drift, privilege drift, and temporal drift correlated as one storyline
  • Host-level outbound-byte, connection, DNS, and new-destination-count baselines
  • Tenant-isolated AI triage that combines all four axes into a single verdict

What Vedric does not do

  • Read file contents to decide whether data is sensitive
  • Rely on a static block list of compression tools or destinations
  • Capture screenshots, keystrokes, audio, or network payloads
  • Make response decisions without admin approval and a stated reason
  • Operate across tenants; every storyline is scoped to a single tenant

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 security teams that want to monitor exfiltration as a pattern, well before the data has left.

Request Early AccessRequest a demoResponse within one business day.