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CompliancePublished 16 August 2026 · Updated 6 September 2026 · 2 min read

Buddy punching: evaluate proportionate attendance controls

Compare identity, location and review controls without assuming a universal fraud rate or treating recording errors as misconduct.

By Attendify Vision · Product-led guidance with sources and labeled examples.

Define the problem before estimating a loss

Buddy punching means one person records attendance on behalf of another. It is distinct from a missed punch, an incorrect schedule, a delayed sync or a payroll mapping error. A suspicious record deserves investigation, not an automatic conclusion about intent.

Do not apply an unsourced fraud percentage to your payroll to create a savings forecast. Start with documented cases, recording gaps and review effort in your own process.

Compare what each control adds

Scroll the table sideways to read all columns.

ControlUseful contributionRemaining question
Individual credential/deviceAssociates submission with authorizationWho actually used it?
Event locationReports where a device said it wasIs the position accurate and authentic?
Selfie reviewProvides visual capture evidenceIs it current and the intended worker?
Liveness interactionTests an implemented capture responseDoes it identify the worker or resist the relevant attack?
Face matchingCompares against an enrolled referenceHow are errors and untrusted inputs handled?
Recorded correction reviewExplains changes and decisionsAre permissions and responsibilities appropriate?

No row guarantees fraud prevention. Combining controls also adds worker friction, data collection and support needs that should be proportionate to the actual problem.

Do not confuse deterrence with trusted identity

Attendify combines device authorization, liveness selfie and event location; optional face matching is controlled. The server compares candidate representations, but inference runs on the device and fabricated-client inputs remain a limitation.

The security overview describes the boundary. A claim such as “the server checks it” should not be interpreted as complete protection against a technically capable attacker.

Keep review fair

When a capture fails, investigate device, assignment, network and working conditions as well as the event itself. Provide a named route for reporting genuine work. Corrections should preserve the original evidence and state a reason.

If recorded hours fall after a rollout, inspect whether missing captures or unhandled exceptions caused the change. A lower total does not establish that fraud was reduced or that wages should be lower.

Evaluate the outcome you can actually measure

Record known discrepancies, time to resolve them, worker support needs and remaining uncertainty. Compare with a documented baseline. Avoid borrowing another vendor’s percentages or presenting a hypothetical calculation as a customer result.

Use the method comparison and recorded corrections to choose a workflow that improves evidence without making the biometric result the sole authority over someone’s work.

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