Standards, Security and Policy Framework

VeritasHub is built on a set of consistent operational principles that govern how the platform behaves.

• Transparency over detection
• Human accountability for all submitted work
• Non-punitive declaration of AI use
• Structured, submission-bound provenance
• No pre-submission monitoring or behavioural tracking

These principles ensure that the platform supports academic integrity without introducing surveillance or uncertainty.

VeritasHub is continuously evaluated against the ISO/IEC 25010 software quality model, ensuring that the platform meets recognised standards for system performance, usability, and reliability.

VeritasHub provides a structured system for capturing AI usage and generating formal declarations at the point of submission.

The platform operates with minimal latency and does not disrupt existing academic workflows or submission processes.

VeritasHub integrates with institutional systems including learning management platforms and identity services without requiring structural changes.

The platform is designed for clarity and ease of use, enabling students and faculty to complete workflows without technical training.

All records are timestamped, consistently formatted, and securely stored, ensuring dependable operation across all submissions.

Data is encrypted in transit and at rest, with role-based access control and strict separation between institutional environments.

The system is modular and continuously tested, allowing updates and improvements without disrupting stability.

VeritasHub can be deployed across multiple environments, including sovereign cloud infrastructure aligned with regional requirements.

The platform improves clarity, consistency, and defensibility in academic assessment by replacing assumption with structured evidence.

VeritasHub processes only data that is intentionally submitted by the user.

• No background monitoring
• No behavioural tracking
• No keystroke or device data collection

All records are created through explicit user action.

Data is stored within secure, sovereign infrastructure with full institutional separation. Each institution operates within its own isolated environment.

VeritasHub is designed to align with GDPR and equivalent international frameworks.

• Encryption in transit and at rest
• Role-based access control
• Data subject rights supported (access, export, deletion)
• Data Processing Agreements available

VeritasHub operates on enterprise-grade infrastructure designed for institutional and regulatory environments.

• Encrypted data storage and transmission
• Segregated institutional environments
• Controlled administrative access
• Audit logging of system activity

The platform aligns with recognised security standards including ISO/IEC 27001 and related frameworks.

VeritasHub embeds institutional AI policies directly into its workflows.

• Policies are uploaded and maintained by the institution
• Guidance is presented to students during declaration
• Decision points reflect institutional rules
• Consistency is enforced across courses and departments

This ensures that policy is applied in practice, not just documented.

No.

VeritasHub implements institutional policy — it does not replace it.

All rules, permissions, and academic integrity standards remain defined by the institution.

The platform provides structured, audit-ready records of AI usage across all submissions.

• Timestamped declarations
• Standardised data structures
• Exportable reports
• Full audit trail

Institutions gain:

• visibility of AI usage patterns
• consistent application of policy
• evidence for academic review
• support for accreditation and compliance processes

VeritasHub does not determine compliance outcomes.

It provides the structured evidence and operational framework that institutions require to apply and demonstrate their own standards.