Fraud prevention for SaaS

Keep trials and usagefor real customers.

Control free-trial cycling, referral abuse, automated signups and credential attacks with one identity layer across browser sessions and backend events.

Live evidence
Connected

Current analysis

Trial identity

Workspace84%
Account62%
Credit91%
RiskWorkspaceAccountCreditEvidence
Evidence attached

SDKs

browser, React and Node

Rules

business-specific policy

Webhooks

operational automation

Built for the full investigation

Useful to engineering. Clear to fraud operations.

The same evidence powers API decisions and investigator views, so policy changes stay connected to the behavior behind them.

01

Trial abuse controls

Find connected accounts even when emails, browser storage or obvious identifiers change.

02

Credential attack signals

Measure failed-login velocity by IP and account alongside device and network change.

03

Tiered enforcement

Monitor low-value activity, challenge uncertainty and block coordinated high-confidence abuse.

04

Team workflows

Give analysts cases and graphs while developers manage keys, webhooks and request logs.

The operating flow

Move from signal to action without losing the explanation.

1

Cover signup and login

Create sessions in the browser and associate identities through your backend.

2

Instrument valuable usage

Send normalized events for trials, credits, referrals and protected product actions.

3

Improve from feedback

Apply investigator labels to fraud-neighbor decisions and tenant-specific model training.

Start with one protected workflow

Protect your unit economics without hiding the reason why.

Start with account and device risk, then expand into the events where your product creates real value.

Get started