Investigate an unusual upload without sending your traffic anywhere

The challenge

A computer sends gigabytes in the middle of the night, and nothing on the network says whether it was a backup or something else.

The scenario

A studio workstation that normally uploads under 150 MB an hour sends 5 GB to a destination it has never contacted.

What goes in

Flow and TLS metadata

Volumes, destinations and handshakes; no payloads.

Endpoint agent

The process behind each connection, when an agent is enrolled.

What you can ask

Illustrative prompts. Results depend on your own data and are not deterministic.

• “How unusual is this upload for this device?”Copy
• “Which process made these connections?”Copy
• “What should I check before calling this a problem?”Copy

How Clearception approaches it

How the work is structured. Each step shows what its output is grounded in.

1. 1

   Compare with the baseline

   Observed

   Put the hour's upload next to the device's typical range and history.

2. 2

   Score the deviation

   Observed

   Add each factor — new destination, new network, unusual hour, volume — into an explained score.

3. 3

   Attribute the process

   Source

   Link the connections to the program the endpoint agent observed.

4. 4

   Interpret locally

   AI-inferred

   A local model separates what was observed from its interpretation, citing evidence.

What you get

The shape of what comes back — not a promised result.

• Explained finding

  Observed

  Observed facts, baseline deviation, threat intelligence, IDS detections, interpretation and next steps, kept separate.

Why it matters

Context before conclusions

Volume alone never becomes a verdict; the finding says what to verify next.