Use cases
Software Products E-commerce MSPs Schools Development & Marketing DevOps Agencies Help Desk
Company
Internet Status Blog Pricing Log in Get started free

Outage in Onfido

Increase in Known Faces consider rate

Resolved Minor
August 26, 2026 - Started 29 days ago - Lasted 13 days
Official incident page

Incident Report

Known Faces experiencing higher consider rates across all regions.

Trusted by 1,000+ teams

The Status Page Aggregator with Early Outage Detection

Stop finding out about outages from your users. Monitor 6,320+ cloud services and get alerted the second something breaks.

IsDown status aggregator dashboard
Latest Updates ( sorted recent to last )
POSTMORTEM 16 days ago - at 09/08/2026 01:24PM

## Summary

On August 26, 2026, an increase in the consider rate of Known Faces was observed during the period between 15:00 and 18:00 UTC. The overall observed consider rate of Known Faces increased from ~6% to ~23% across all regions. Perceived increase may have been higher or lower, depending on the client’s specific geography or vertical.

The was driven by a change to how matching scores are calculated for Known Faces matches, which inflated scores for non-matching faces and thus causing many reports to return false matches and a **consider** result.

## Root Causes

The change introduced a new algorithm for scoring matching faces, which is intended to improve Known Faces recall performance. This was extensively evaluated and validated by internal benchmarks before being released. Inadvertently, the transition from benchmarks to production partially failed to account for particular production environment characteristics. At the root, a single constant wasn’t properly converted in the transition, resulting in wrong behavior of the new scoring algorithm.

## Timeline

    15:20 UTC: Change to Known Faces is released
    17:35 UTC: Increased consider rate on Known Faces is noticed.
    17:50 UTC: Change is rolled back. Consider rate drops soon after.

## Remedies

We are reviewing internal benchmarks and testing procedures which can increase the safety of this kind of change. Specifically, ensuring internal testing reflects the real production landscape when it comes to datasets and that transitions from internal benchmarks and experiments to production are thoroughly tested.

In addition, change procedures will be carried out with tighter monitoring so it allows us to notice and act faster.

RESOLVED 16 days ago - at 09/08/2026 01:24PM

Known Faces experiencing higher consider rates across all regions.

The Status Page Aggregator with Early Outage Detection

With IsDown, you can monitor all your critical services' official status pages from one centralized dashboard and receive instant alerts the moment an outage is detected. Say goodbye to constantly checking multiple sites for updates and stay ahead of outages with IsDown.

Start free trial

No credit card required · Cancel anytime · 6320 services available

Integrations with Slack Microsoft Teams Google Chat Datadog PagerDuty Zapier Discord Webhook