Protecting the integrity of assessment in the AI era

Allied Assessment builds AI-powered integrity solutions for the HR and psychometrics industry — so organisations can trust their talent decisions again.

107K+
Assessment sessions analysed
4
Layers of integrity defence
0
Demographic bias in detection
100%
Model-agnostic coverage

About Allied Assessment

The assessment industry has an AI integrity crisis

Generative AI has fundamentally changed the threat landscape for online assessments. Candidates can photograph a screen, send it to an AI model, and receive an answer in seconds — all without generating any detectable interaction on the assessment device. Traditional content-based AI detection is fragile, model-specific, and demographically biased.

Allied Assessment takes a different approach. Instead of trying to detect what AI was used, we focus on how candidates behave. Behavioural monitoring is model-agnostic, stable across AI generations, and equitable across demographic groups.

Solutions

AI-native integrity technology

Purpose-built tools that protect assessment fairness without compromising candidate experience.

AI Proctoring

Continuous, AI-driven facial validation that confirms candidate identity and presence throughout every assessment session — without intrusive surveillance.

AI Detection

Behavioural telemetry that silently identifies when candidates consult external AI tools during assessments. Model-agnostic, so it works regardless of which AI is used.

AI-Proof Assessments

Assessments engineered from the ground up to resist AI manipulation — through dynamic item generation, adaptive difficulty, and secure-by-construction design.

Confidence Scoring

A continuous integrity metric that combines focus-loss events, timing deviations, and response variability into a single, interpretable confidence score for every session.

Our Framework

Design. Deter. Detect. Defend.

A four-layer, defence-in-depth architecture where each mechanism compensates for the limitations of the others.

01

Design

Secure by Construction

Dynamic item pools and adaptive assembly ensure no two candidates see the same test — eliminating item sharing and systematic harvesting at the source.

02

Deter

Psychological Deterrence

Empirically validated integrity messaging that reduces cheating by making detection salient — leveraging the finding that perceived detection probability matters more than consequence severity.

03

Detect

Behavioural Telemetry

Silent, behind-the-scenes monitoring that captures the behavioural signatures of external consultation — focus loss, timing anomalies, and response irregularity.

04

Defend

Active AI Proctoring

AI-powered facial validation provides a visible deterrent and addresses threats beyond the reach of telemetry — proxy test-taking, human collaboration, and second-device use.

Why Behavioural

Content detection is a losing arms race

AI content detectors are trained on today's models. When the next generation arrives, those detectors become obsolete. They also exhibit systematic bias against non-native English writers — creating direct fairness risks in employment selection.

Behavioural detection takes a fundamentally different approach. A person who leaves the assessment window to consult an AI tool produces a distinctive signature: the browser loses focus, dwell times become irregular, and the temporal rhythm of responding becomes inconsistent. These patterns are structural consequences of cheating itself — not properties of any particular AI model.

Model-AgnosticDemographically FairFuture-ProofNon-Invasive
Content Detection
  • Model-specific — breaks with each AI release
  • Biased against non-native English writers
  • Cannot detect image-based cheating
Behavioural Detection
  • Model-agnostic — works against any AI tool
  • No demographic bias in detection rates
  • Detects the act of cheating, not the tool used

Behavioural Signals

70%
Focus Loss
15%
Time Deviation
15%
Variability

Ready to protect your assessment integrity?

Partner with Allied Assessment to future-proof your talent selection against AI-assisted cheating — with technology that's fair, effective, and built to last.