Source and domain signals
Reputation, domain age, security certificates, ownership patterns, and suspicious hosting changes.
Research
How iWitness thinks about digital trust, safety signals, and responsible AI-assisted risk analysis.
Trust is measured from signals, not guessed from one clue.
Research at iWitness focuses on combining source, content, privacy, metadata, and community feedback into practical guidance. The goal is not to declare perfect truth. The goal is to help people understand risk before they act.
Content risk patterns
Urgency, impersonation, manipulation language, unverifiable claims, and AI-shaped content signals.
Privacy intelligence
What data a service asks for, what it shares, and whether the request is reasonable for the context.
TrustRank weighting
Multiple weak signals are combined into an easy score with a plain-language explanation, not a claim of absolute truth.
Our principles
Measure trustworthiness, not absolute truth
Combine multiple independent signals
Explain scores in plain language
Publish methodology as the engine matures
Never overstate what the product can verify today
Transparency roadmap
What we will publish as the engine matures
- Methodology notes for TrustRank scoring.
- Threat pattern summaries from real browsing risks.
- False-positive review practices and product limitations.
- Benchmarks and transparency reports for major model updates.
Threat reports, benchmarks, and transparency reports will be published here as the trust engine matures.