Skip to content
LR Defender
Book a demo

ACCOUNT TRUST

Early access

Know which accounts are one person. And see every link that says so.

Every account gets a Real, Suspicious or Fake tier from device, network, bot and linked-account evidence, with each part shown. You set the thresholds.

Accounts / acct_91c2Example data
acct_91c2Fake
Model estimate0.77
0.500.75
Model estimate: 0.77. Thresholds 0.50 and 0.75.

Account score, compared with your two thresholds. Not calibrated yet.

acct_91c2acct_7f3eacct_2d41acct_58b0acct_e613acct_0c9a

Hover or focus a link to see why it counts, or why it does not.

  1. Device first seen 40 minutes ago with account acct_7f3e

    fact
  2. Second account, acct_91c2, on the same device

    inference
    Shared device, counted
  3. No automation signals

    none found
  • Thresholds you set
  • A block beats an allow
  • Every link has a reason
  • Scores stay on your server

QUESTIONS THIS ANSWERS

  • Is this one person running ten accounts?

    Linked accounts, counted and not counted, with the reason for each.

    • acct_7f3eShared device, counted
    • acct_2d41Shared network, counted, weakly
    • acct_58b0Shared network, counted, weakly
    • acct_0c9aShared device, not counted: identical hardware
  • Why did this account turn Suspicious yesterday?

    The evidence timeline shows what arrived, and when.

    1. Signed up from a VPN address

      fact
      Sep 12
    2. Shares a network with two other accounts this week

      inference
      Sep 24Shared network, counted, weakly
    Suspicious
  • Which links did you ignore, and why?

    Links we did not count are shown and labelled: identical hardware, a device shared by more than nine accounts, or a weak session.

    • Shared device, not counted: identical hardware
    • Shared device, not counted: device shared by more than 9 accounts
    • Shared device, not counted: weak session
  • Can my team overrule the model?

    Yes. Put the account on an allow, block or review list. The model's tier stays visible beside your decision.

    Your decision
    allowTrusted customers list
    Model's tier
    Suspicious

How it works

Set the line yourself.

Drag the two thresholds and watch 24 example accounts re-tier. The defaults are 0.50 and 0.75, and you can change both in your settings.

Old evidence fades. Automation does not.

Older sessions count for less: a session's weight falls from 1 toward one half, losing half the distance every 30 days (0.75 after 30 days, about 0.63 after 60), and after 90 days the session no longer counts, so an account is not judged forever on one odd evening. Hard automation evidence is the exception: time never brings an account that showed it back to Real.

Accounts / acct_3d80 / EvidenceExample data
  1. Sep 24Second account on the same deviceweight 0.99
  2. Aug 26Signed up from a VPN addressweight 0.75
  3. Jul 27Time zone far from the address's locationweight 0.63
  4. Jun 12navigator.webdriver was truenever reads Real

Evidence fades toward half weight and stops counting after 90 days. Hard automation evidence stays.

Your decision, beside the model's.

Allow, block and review lists apply to accounts. A block always wins. The model's tier stays visible, so you can see where you and the model disagree.

Accounts / ListsExample data
  • acct_3d80Confirmed fraud (block)DecisionblockModelFake
  • acct_7f3eTrusted customers (allow)DecisionallowModelReal
  • acct_58b0Trusted customers (allow)DecisionallowModelSuspicious

An account on a block list reads Fake, with the list named as the decision, whatever else holds it. Your server acts on that decision.

API

Fetch the tier from your server.

Your server asks with its secret key. Account scores and tiers stay on your server: the browser's answer never carries them.

What your server gets back

Tier
Real, Suspicious, Fake or Unscored, from the account's score and the thresholds in force.
Decision
The effective decision. Your allow or block list decides when it holds the account; a block always wins.
Multi-accounting probability
Model estimate that one person runs this account and the accounts linked to it.
Linked accounts
How many linked accounts counted toward the score.
Hard automation evidence
True once the account showed hard automation evidence. It then never reads Real.
Tier thresholds
The two thresholds in force. The defaults are 0.50 and 0.75, and you can change both.
Calibration status
The model's calibration status. Every score is a model estimate.
First seen
When the account was first seen.
Last seen
When the account was last seen.

Spec

Tiers
Real, Suspicious, Fake, Unscored
Default thresholds
0.50 and 0.75
Tier rule
Real below the first threshold; Suspicious from the first up to and including the second; Fake above the second
Device link window
90 days
Network link window
7 days
Links counted
At most 3 device and 3 network
Crowded devices
A device held by more than 9 accounts adds no device links
Evidence decay
Weight falls from 1 toward 0.5, losing half the distance every 30 days; sessions older than 90 days do not count; hard automation evidence never decays to Real
Scores
Model estimates, shown with their calibration status
Where scores go
Your server, fetched with your secret key

Limits

FAQ

The key your server sends with each session, usually your own user ID. Without a key, the session attaches to the device alone.

The score is compared with your two thresholds. Below the first is Real, from the first up to and including the second is Suspicious, above the second is Fake.

No. A shared network counts weakly, and at most three network links count toward any account.

A device ID that identical hardware could share is never counted as a strong link.

No. The browser's answer never carries account scores or tiers: your server gets them when it asks with its secret key. Send scores to the browser adds the session's scores to the browser's answer, never the account's.

Not during early access.

We have not published an accuracy figure. Talk to an engineer about testing it on your own traffic.

Apply for early access. We onboard a few teams at a time and work with each one directly.

Build account trust with us.