MFA confirms the start but does not reliably prevent proxy participation, session takeover or unauthorised assistance during an examination.
Examination integrity
The login is not all that matters—the entire examination matters.
ExamsPAL binds PAL ID, HAI Session and defined inputs to the same candidate and documents anomalies for fair human review.
PAL IDHAI Sessionexamspal.com
Examination integrity5.1
5defined measurement dimensions
verified examinations1
proxy and session incidents2
review time3
1PAL ID
23Evidence
The problem today
MFA confirms the start but does not reliably prevent proxy participation, session takeover or unauthorised assistance during an examination.
Continuous identity and action verification for online and in-person examinations.
Traditional proctoring supplies video or browser controls but rarely a single verified event stream spanning identity, device and input.
Solution
A simple approach with system-wide value.
Continuous identity and action verification for online and in-person examinations.
PAL ID verifies the candidate; HAI Session continuously binds the examination.
Examination rules define permitted devices, inputs and local or server-side evaluation.
Anomalies lead to review and appeal, not automatic condemnation.
Benefits
One system. Three clear winners.
ExamsPAL binds PAL ID, HAI Session and defined inputs to the same candidate and documents anomalies for fair human review.
For people
Fair recognition of personal achievement with less blanket suspicion.
For companies & institutions
Less examination fraud and scalable digital assessments.
For professionals
Stronger evidence for review, appeal and examination decisions.
ExamsPAL binds PAL ID, HAI Session and defined inputs to the same candidate and documents anomalies for fair human review.
Measurable from day one
The right metrics make progress and impact visible.
Fair recognition of personal achievement with less blanket suspicion.
Potential
Transparent model. Counted once.
R10 represents the university hardware channel but is not counted in addition to R01.
University hardware channel
25.56 bn USD269m students × USD 95 per year
Who pays: Universities, certification bodies, employers or public examination authorities; under the founder model, universities pay only for hardware.
Model note: Market potential is not a revenue forecast. It is a modelled upper bound based on the stated assumptions; actual revenue depends on product maturity, contracts, regulation and market penetration.
Sources and evidence
The key assumptions remain traceable.
The evidence base is maintained centrally. Product claims require separate validation in pilots and contracts.
UNESCO Higher Education Today and Tomorrow
This source supports the evidence base for the stated problem and market context. Open source ↗
OECD – Generative AI
This source supports the evidence base for the stated problem and market context. Open source ↗
NIST SP 800-63-4 Digital Identity Guidelines
This source supports the evidence base for the stated problem and market context. Open source ↗
UNESCO survey on AI guidance in higher education
This source supports the evidence base for the stated problem and market context. Open source ↗
Connected in the PAL Ecosystem
Independent domain. Shared platform.
In brief
The first questions a new partner will ask.
Less examination fraud and scalable digital assessments.
What makes this solution different?
Continuous identity and action verification for online and in-person examinations. PAL ID verifies the candidate; HAI Session continuously binds the examination.
Who benefits most?
Fair recognition of personal achievement with less blanket suspicion. Less examination fraud and scalable digital assessments.
Who carries the cost?
Universities, certification bodies, employers or public examination authorities; under the founder model, universities pay only for hardware.
How should the potential be read?
R10 represents the university hardware channel but is not counted in addition to R01. Market potential is not a revenue forecast. It is a modelled upper bound based on the stated assumptions; actual revenue depends on product maturity, contracts, regulation and market penetration.
Let us define the right pilot.
Capital, technology, hardware partnerships and market access can be built in parallel around a clearly bounded first application.