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Trust Score

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.

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0–100 Integrity Budget

Starts at 100. Deductions are severity-weighted (CRITICAL, MAJOR, MINOR) and normalised by session duration.

Per-exam-type scoring profiles

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.

Transparent, not black-box

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 typeDefault severityExample deduction
Remote desktop detectedCRITICAL35 pts
Virtual camera confirmedCRITICAL35 pts
Second speaker suspectedMAJOR20 pts
Sustained face absence (>30s)MAJOR15 pts
AI domain access (ChatGPT, Claude…)MAJOR20 pts
Screen sharing detectedMAJOR20 pts
Tab switch (sustained)MINOR5 pts
Brief gaze-awayMINOR2 pts

How the score is computed

The trust score engine runs server-side as a deterministic, rule-based algorithm. This means:

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

Not all assessments carry the same risk profile. A 15-minute formative quiz and a 4-hour professional certification exam may warrant very different triage thresholds and severity weights. ProctorSafe supports multiple named scoring profiles per tenant. Each profile defines its own severity weights, deduction amounts, and normalisation parameters. You can:
  • 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
This makes it straightforward to run pilots with new scoring parameters without committing to a single global policy.

Reviewer integration

The trust score feeds two reviewer workflows:

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

In addition to the trust score, ProctorSafe runs an LLM analysis (OpenAI or Mistral, configurable per tenant) over the session's event timeline. The analysis produces:
  • 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)
The LLM operates on metadata and events only — no raw video or audio. The trust score and AI summary are shown together in the reviewer interface, giving reviewers both a quantitative signal and a qualitative narrative.

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Frequently Asked Questions

Common questions about privacy, compliance, and integration.

The Integrity Budget is a 0–100 score that starts at 100 and decreases as integrity violations are detected. Each violation type has a severity (CRITICAL, MAJOR, or MINOR) that determines the deduction. The score is normalised by session duration so that a brief violation early in a long exam weighs differently than the same violation in a short test.

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