Stop payroll fraud before it reaches finance.

Stribely’s anomaly models watch every payroll cycle, flagging duplicates, unusual variances, and risky approvals. Resolve issues in minutes with guided playbooks and automated escalations.

Variance monitoring tuned to your payroll rhythmBehavioral fingerprinting across approvalsGuided escalations with complete root-cause history
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Detection that learns your payroll rhythm

Fraud safeguards operate continuously—tuned to the thresholds that matter most to finance, payroll, and risk teams.

Variance monitoring

Track deltas by employee, team, or cost center. Recurring spikes and irregular adjustments surface before they reach the ledger.

Behavioral fingerprinting

Models adapt to your approval patterns and highlight unusual timing, device changes, or workflow bypass attempts.

Guided escalation workflows

Flagged items move through resolution playbooks with tasks for payroll, HR, and finance plus a full investigation timeline.

Risk reduction playbook

Instrument your payroll stream with configurable controls that escalate the right risks to the right team.

Fraud safeguard FAQs

From data privacy to alert routing, here’s what security and finance teams ask before switching on Stribely.

What data powers the fraud models?

Stribely ingests payroll runs, invoices, approval logs, bank confirmations, and workforce metadata. Sensitive data remains encrypted within your tenant at rest and in motion.

Can alerts sync into our SIEM or ticketing tools?

Yes. Every alert can trigger webhook notifications with contextual metadata so your SIEM, GRC, or incident response teams can act immediately.

How long does it take to calibrate the models?

We establish baselines in the first two payroll cycles and continuously refine with user feedback from resolved cases and manual classifications.

Layer AI assurance over every payroll run.

Request an interactive walkthrough to see how anomaly detection, alert workflows, and risk dashboards keep payroll secure end to end.