The Integrity Budget: ProctorSafe's Trust Score
A 0–100 score that aggregates every integrity signal into a single reviewable metric — computed by a deterministic, auditable algorithm, not a black-box model.
Starts at 100. Deductions are severity-weighted (CRITICAL, MAJOR, MINOR) and normalised by session duration.
Different assessments carry different risk profiles. Configure separate scoring weights for a timed coding test versus a multi-hour essay exam — and compare scores across profiles for the same session.
Every deduction is tied to a specific event with a timestamp. Reviewers can see exactly why a score is what it is.
Why a trust score matters
Reviewing every proctoring session manually is not scalable. For a cohort of 1,000 candidates, that means 1,000 event timelines — most of them clean. The trust score exists to answer one question quickly: which sessions deserve a human reviewer's attention?
A well-designed trust score is not a verdict. It is a triage tool — one that should be transparent, auditable, and contestable.
How the Integrity Budget works
Starting value and deductions
Every session begins with a score of 100. As integrity events are detected, points are deducted according to a configurable severity table:| Event type | Default severity | Example deduction |
|---|---|---|
| Remote desktop detected | CRITICAL | 35 pts |
| Virtual camera confirmed | CRITICAL | 35 pts |
| Second speaker suspected | MAJOR | 20 pts |
| Sustained face absence (>30s) | MAJOR | 15 pts |
| AI domain access (ChatGPT, Claude…) | MAJOR | 20 pts |
| Screen sharing detected | MAJOR | 20 pts |
| Tab switch (sustained) | MINOR | 5 pts |
| Brief gaze-away | MINOR | 2 pts |
How the score is computed
No black-box model
the score is not derived by a machine learning model that cannot be inspected; it is computed by a transparent algorithm with configurable parameters
Reproducible
given the same event stream and severity configuration, the score will always be the same
Auditable
every deduction maps to a specific event in the session timeline, with a timestamp and a reason code
Scoring profiles for different exam types
- Apply different profiles to different exam types at configuration time
- View scores computed under all active profiles side by side for a single session
- Compare how a borderline session would be triaged under your standard policy versus a stricter high-stakes policy
Reviewer integration
Bulk triage
The sessions dashboard sorts and filters by trust score. Reviewers can:- Auto-clear sessions above a configurable threshold (e.g. score ≥ 90)
- Queue sessions in the 60–90 range for spot-checks
- Flag sessions below 60 for full investigation
Session detail
Inside a session, reviewers see the score broken down by contribution. Each deduction is linked to the triggering event with a timestamp. Reviewers can step through the event timeline and understand exactly why the score is what it is — not just that it is low. Every reviewer decision (clear, spot-check, refer) is logged in an immutable audit trail with a timestamp and mandatory comment.AI-assisted triage
- A risk level (LOW / MEDIUM / HIGH)
- A plain-language summary of the session
- Highlighted events that most influenced the assessment
- Recommended actions (clear, spot-check, investigate, void)
Get started
- Try the interactive demo to see trust scores in action
- Contact us for a walkthrough with your specific assessment type
- Read our signal intelligence article
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