Verifiable Integrity.
Without the Surveillance.
Secure exam delivery, on-device AI monitoring, cryptographic proof chains, and independent audit verification — engineered for high-stakes rigor and total student privacy.
See how cryptographic attestation works
Step through a live exam verification cycle — from on-device kiosk launch to independent mathematical proof.
Zero Cloud Video Ingestion: On-device neural inference guarantees complete student privacy. Only mathematical Merkle hashes leave the endpoint machine.
How NAE delivers unbreakable trust
Configure Assessment Environment
Set security policies, browser kiosk rules, allowed tools (Python/Excel/Terminal), and accessibility accommodations. Automatic LTI 1.3 sync with Canvas, Blackboard, and Moodle.
Candidate Launches Secure Client
The lightweight client (~15MB Rust engine) locks down secondary screens, virtual machines, and screen capture while initializing on-device AI monitoring.
On-Device Telemetry & Proof Chain
Integrity events, focus shifts, and device state are continuously hashed into an append-only Merkle tree. Zero raw video streams ever leave the candidate device.
Cryptographic Attestation & Verification
Session roots are sealed with timestamped blockchain anchors. Anyone with the audit proof can independently verify integrity without viewing private candidate data.
Direct Feed into AI Learn
Per-question telemetry flows into the concept mastery engine, updating student knowledge profiles in real time.
Built for high-stakes institutional scale
NAE (NOMEVEX Assessment Environment)
Built in Rust for Windows, macOS, and Linux. Enforces kiosk mode, process monitoring, clipboard protection, peripheral detection, and WebAssembly fallback — with full cryptographic audit. The ~15MB binary replaces legacy browser-based exam delivery.
- Cross-platform support (Windows, macOS, Linux)
- Kiosk mode with Alt+Tab prevention
- Process monitoring for unauthorized tools
On-Device AI Monitoring
Unlike traditional proctoring that streams video to centralized servers, our AI performs inference on the student's machine. Only cryptographic proofs and event metadata are transmitted.
- Face presence and multiple face detection
- Prohibited object detection (phones, notes)
- Behavioral analysis (gaze, head movement)
Cryptographic Verification
Every session event is hashed into a Merkle tree. Roots are anchored to public blockchains or transparency ledgers, enabling independent third-party verification without accessing private recordings.
- Tamper-evident Merkle tree audit chain
- Blockchain anchoring for immutable timestamps
- Independent verification without private data access
Compliance & Accreditation
From data minimization and subject access reports to accreditation-grade audit trails — compliance is embedded in the platform architecture, not bolted on.
- GDPR Article 15/20 data portability exports
- FERPA-compliant data handling
- ISO/IEC 17024 and NCCA accreditation support
Accessibility & Inclusion
Accessibility is architected in from day one. Accommodations are first-class policy inputs that affect enforcement rules, not afterthought exceptions.
- WCAG 2.2 AA compliant interfaces
- Screen reader and keyboard navigation
- High contrast mode and UI scaling
If the result matters, the assessment should too.
See how Nomevex can secure your assessments, capture real performance and turn results into trusted intelligence.