AI Identity and Behavioural Fingerprinting
-
Updated
Mar 20, 2026
AI Identity and Behavioural Fingerprinting
Safe and secure use of AI in research projects
TrustOS is an AI Integrity Platform that verifies whether a candidate genuinely completed an interview, assessment, coding challenge, or remote work session. Instead of relying on simple AI classifiers, TrustOS combines browser signals, face/hand behavioural tracking, and multi-agent AI analysis into an Explainable Score backed by real evidence
🛡️ The Sovereign Passport Protocol v1.0 — A hardware-rooted Governance Layer for Agentic AI. Implementing the Recursive Quine Algorithm and QRNG-anchored Structural Signatures to solve the "Integrity Gap" in AI-to-API pipelines. The 'Visa for AI' starts here.
Authority Stack Benchmark Suite — measuring AI Integrity across 4 layers: Normative, Epistemic, Source, and Data Authority
A prompt skill that teaches AI models to say "I don't know" and Stop your AI from guessing confidently. A validated prompt skill for honest, calibrated responses.
A local-first tool for designing clear, structured approaches to acceptable AI use in assessment. It helps educators define permitted and restricted uses, generate student guidance, document rationale, and identify risks—supporting transparent, consistent, and governance-ready academic integrity design.
Add a description, image, and links to the ai-integrity topic page so that developers can more easily learn about it.
To associate your repository with the ai-integrity topic, visit your repo's landing page and select "manage topics."