TLTrustLens AI
Digital trust intelligence for risky content

Digital trust intelligence for the AI-generated internet.

TrustLens AI — See the Risk Behind Digital Content.

An AI-powered credibility engine that helps users evaluate links, articles, reviews, profiles, and media for possible misinformation, scams, fake expertise, fake reviews, fake identities, deepfake risk, and AI-generated manipulation.

Analyze a Link Check Text Try Scam Checker
Credibility Meter
Signal Scan
AI-Likelihood
Founder vision

Built for Digital Trust in the AI-Generated Internet

TrustLens AI was created by Aziz Firdaus as part of a broader vision: AI for Public Infrastructure & Digital Trust. The platform explores how artificial intelligence can help people, institutions, and communities evaluate online content more safely in an era of scams, synthetic media, fake expertise, misinformation, and AI-generated manipulation.

Founder + systems thinker + public-impact innovator.
Public infrastructureTools that support safer information ecosystems.
Digital trustCredibility signals for links, messages, reviews, and profiles.
Human verificationAI-assisted guidance that keeps people in the loop.
Core modules

Risk signals across the content trust stack.

TrustLens AI scores warning patterns while avoiding certainty claims. Results are educational signals for deeper human verification.

AI-Likelihood Score

Estimates whether text may be AI-generated using writing-pattern analysis, repeated phrasing, and low-specificity signals.

Misinformation Risk Score

Extracts risky claims and estimates possible misinformation indicators, vague sourcing, and unsupported certainty language.

Scam Signal Score

Checks urgency, fake authority, guaranteed profit wording, phishing language, impersonation, and suspicious payment requests.

Fake Review Risk

Detects repeated wording, unnatural praise, generic testimonials, suspicious sentiment patterns, and AI-generated review style.

Fake Expert/Profile Risk

Flags unverifiable credentials, vague institution claims, exaggerated expertise, suspicious affiliations, and credibility gaps.

Media/Deepfake Risk

Planned image upload, metadata/provenance analysis, and deepfake risk estimation for manipulated media review.

Coming Soon
Demo scenarios

Try Real-World Risk Scenarios

Load safe sample content into the relevant analyzer to see how TrustLens AI presents risk signals, possible indicators, and verification guidance.

Scam Checker

Suspicious Investment Message

Analyze an urgent investment offer claiming guaranteed returns.

Expert Checker

Fake Expert Bio

Check whether a profile uses vague credentials, inflated authority, or unverifiable claims.

Check Text

Viral Misinformation Post

Evaluate a viral post with emotional claims and missing evidence.

Review Checker

Fake Review Batch

Detect repeated wording, generic praise, or suspicious AI-like testimonials.

Risk dashboard

Analyze links, text, messages, reviews, and profiles.

Choose a checker, paste content, and receive structured scores, warning signs, verification steps, a safer interpretation, and an educational disclaimer.

If the page blocks reading, paste the article below.
For high-stakes claims, compare results with trusted sources before acting.
Do not click links or share payment details while a message is under review.
Results estimate possible review risk and should be compared with verified-purchase evidence.
Use official records, institution pages, license registries, and publication databases for verification.

Risk report will appear here

Submit content to generate scores, warning signs, safer interpretation, and verification steps.

Research & Transparency

Research & Transparency

TrustLens AI is an applied digital-trust experiment focused on misinformation risk, AI-generated content signals, scam patterns, review authenticity, and online credibility indicators.

Why Digital Trust Matters

AI-generated content, synthetic media, impersonation, and high-speed misinformation can make online decisions harder. TrustLens AI explores practical risk signals that support safer human verification.

What TrustLens AI Measures

The platform estimates AI-likelihood, possible misinformation indicators, scam pressure, suspicious review language, profile credibility concerns, source credibility, and future media provenance signals.

Methodology Principles

Outputs are probabilistic, transparent, cautious, and educational. The system avoids certainty claims and encourages comparison with trusted sources, official records, and qualified experts.

Known Limitations

Risk scores can miss context and may produce false positives or false negatives. TrustLens AI does not determine truth, identity, fraud, authorship, or authenticity with certainty.

Future Research Roadmap

  • dataset benchmarking
  • source credibility database
  • media provenance and C2PA checks
  • multilingual misinformation analysis
  • browser extension
  • academic/NGO collaborations
  • public digital literacy reports
Methodology

Transparent, probabilistic, and verification-first.

Scoring scale

0-25 Low Risk, 26-50 Moderate Risk, 51-75 High Risk, and 76-100 Critical Risk.

Human verification

TrustLens AI is not a fact-checking authority. It provides credibility signals that require trusted human verification.

Limitations

AI detection, scam analysis, review scoring, and profile checks can produce false positives and false negatives.

Media module

Image upload, provenance metadata, and deepfake risk analysis are planned and marked as Coming Soon.

Disclaimer

Automated signals, not final judgments.

TrustLens AI provides automated risk signals and educational analysis. It does not determine truth, guilt, fraud, identity, or authenticity with certainty. Always verify important information through trusted sources, official records, qualified professionals, or independent fact-checkers.