← Back to TrustProto AI OS

AI & Trust Score Disclaimer

TrustProto AI OS · Effective Date: 24 August 2026 · Last Updated: 24 August 2026

1. Purpose

This Disclaimer explains the limitations of TrustProto's artificial intelligence systems, Trust Scores, verification systems, reputation indicators, blockchain analysis and related trust technology.

TrustProto is designed to help users make more informed decisions. It does not eliminate risk.

2. Trust Is Not Guaranteed

TrustProto does not guarantee that any person, organisation, AI agent, wallet, document, transaction, website or other subject is trustworthy.

A verification result, Trust ID, Trust Score, reputation indicator or Marketplace listing is not a guarantee of future behaviour.

The Platform should be understood as a trust-information and risk-analysis system, not a guarantee system.

3. Trust Score

A Trust Score is a numerical analytical representation based on available evidence and defined scoring methodology.

A high score does not mean:

  • zero risk;
  • no possibility of fraud;
  • financial stability;
  • legal compliance;
  • professional competence;
  • successful future performance;
  • absence of criminal conduct;
  • cybersecurity;
  • suitability for a particular transaction; or
  • endorsement by TrustProto.

A low score does not necessarily mean that a person or organisation is dishonest, unsafe or unsuitable.

A score may be affected by the amount, quality, recency and availability of evidence.

4. Score Changes

Trust Scores may change over time. Changes may result from:

  • new verification;
  • expired credentials;
  • corrected information;
  • new blockchain activity;
  • changed professional information;
  • changes in reputation;
  • new evidence;
  • removal of evidence;
  • changes in methodology;
  • security events;
  • changes in third-party data; or
  • improvements to TrustProto's scoring systems.

A change in score does not necessarily mean that a person's character or conduct has changed.

5. AI-Generated Analysis

TrustProto may use artificial intelligence to:

  • analyse information;
  • identify patterns;
  • detect potential risks;
  • analyse documents;
  • analyse contracts;
  • review websites;
  • analyse blockchain activity;
  • assess AI agents;
  • generate explanations;
  • classify evidence; and
  • produce trust-related recommendations or indicators.

AI systems are probabilistic and may produce incorrect results.

AI output should therefore be independently verified before being relied upon.

6. Hallucinations and Incorrect Conclusions

AI systems can generate statements that appear convincing but are inaccurate.

TrustProto does not guarantee that AI-generated facts, summaries, recommendations, classifications, risk assessments, explanations, confidence scores or conclusions are correct.

Users must independently verify important information.

7. Evidence and Confidence

TrustProto may display evidence references and confidence indicators.

A confidence score represents the system's confidence in an analytical result. It does not represent:

  • probability that a person is honest;
  • probability that a transaction will succeed;
  • probability that a company will remain solvent;
  • probability that fraud will never occur; or
  • a guarantee of future performance.

8. Identity Verification

A successful identity verification indicates that a particular verification procedure produced an acceptable result. It does not necessarily establish:

  • character;
  • honesty;
  • financial capacity;
  • competence;
  • reputation;
  • legal compliance;
  • absence of criminal activity; or
  • future behaviour.

Identity verification and trust are separate concepts.

9. Credential Verification

A credential may be verified against a source or verification provider. Verification does not guarantee that:

  • the credential remains valid;
  • the holder remains qualified;
  • the issuing organisation has not changed;
  • the holder will perform competently; or
  • the information is complete.

Users should independently verify important qualifications where appropriate.

10. Blockchain Intelligence

Blockchain analysis is based on available blockchain data and analytical techniques. Blockchain analysis may be limited by:

  • pseudonymous addresses;
  • mixing or privacy technologies;
  • incomplete attribution;
  • multiple wallet controllers;
  • exchange wallets;
  • custodial wallets;
  • compromised wallets;
  • incorrect third-party labels;
  • chain reorganisations;
  • cross-chain activity; and
  • incomplete off-chain information.

TrustProto does not guarantee that an identified wallet belongs to the person or organisation associated with it.

11. Fraud Detection

TrustProto may identify potential fraud indicators.

A fraud indicator is not proof that fraud has occurred. Conversely, the absence of a fraud indicator does not prove that fraud has not occurred.

Fraud detection systems can produce both false positives and false negatives.

12. Contract and Document Analysis

AI-assisted contract or document analysis is provided as an analytical aid. It is not a substitute for:

  • a solicitor;
  • qualified legal counsel;
  • an accountant;
  • a compliance professional;
  • a cybersecurity specialist; or
  • another appropriately qualified professional.

Users should obtain professional advice before relying on AI analysis for legally or financially significant decisions.

13. Financial and Investment Decisions

TrustProto does not provide investment advice merely by analysing wallets, financial behaviour, businesses, tokens, transactions or blockchain activity.

A Trust Score must not be interpreted as:

  • a credit rating;
  • an investment rating;
  • a recommendation to buy or sell an asset;
  • a guarantee of return; or
  • a prediction of market performance.

14. Employment and Hiring Decisions

TrustProto Marketplace profiles and Trust Scores should not be used as the sole basis for employment, recruitment or other significant decisions.

Users must comply with applicable employment, equality, anti-discrimination and data-protection laws.

15. Insurance

TrustProto may describe certain evidence or audit capabilities as “insurance-ready”.

This means that TrustProto may produce structured evidence, logs or records that may assist an organisation in discussions with an insurer or underwriter. It does not mean:

  • insurance coverage exists;
  • an insurer has approved TrustProto;
  • a claim will be accepted;
  • a particular risk is insurable; or
  • a particular premium will be available.

Insurance decisions remain the responsibility of insurers and underwriters.

16. Marketplace

A Marketplace listing does not constitute TrustProto endorsement.

Trust scores and verification indicators are not substitutes for due diligence. Before engaging a Marketplace participant, users should consider:

  • references;
  • contracts;
  • qualifications;
  • insurance;
  • financial arrangements;
  • security;
  • legal status;
  • jurisdiction; and
  • the specific risks of the proposed engagement.

17. AI Agents

TrustProto may provide identity, permissions, reputation and audit functionality for AI agents.

A registered or verified AI agent is not necessarily:

  • safe;
  • lawful;
  • competent;
  • unbiased;
  • secure;
  • reliable; or
  • suitable for every task.

AI-agent operators remain responsible for configuring, supervising and controlling their agents.

18. No Guarantee of Completeness

TrustProto can only analyse information that is available to it. Important information may be:

  • private;
  • unavailable;
  • incorrectly supplied;
  • outdated;
  • technically inaccessible;
  • deliberately concealed; or
  • outside the Platform's data sources.

Accordingly, TrustProto cannot guarantee that its analysis identifies every relevant risk.

19. Human Judgment

Users remain responsible for their own decisions.

TrustProto should be treated as an additional layer of evidence and analysis.

For high-value, high-risk or legally significant decisions, users should apply appropriate human review and professional due diligence.

20. Errors and Corrections

If you believe a TrustProto score, verification result or AI-generated analysis contains inaccurate information, you should notify TrustProto.

TrustProto may investigate the underlying evidence and correct information where appropriate.

Correction of an underlying data point does not necessarily mean that a previously generated analytical result will remain unchanged.

21. Demonstration and Beta Features

Some TrustProto functionality may be provided in:

  • demonstration mode;
  • beta mode;
  • testing mode;
  • preview mode; or
  • experimental mode.

Such features may not reflect the final behaviour of production systems.

Where the Platform identifies output as illustrative or demonstration content, users must not rely upon it for real-world decisions.

22. Third-Party Data

TrustProto may rely on third-party information sources.

TrustProto does not guarantee the accuracy, completeness, availability or continued operation of third-party data sources.

23. No Zero-Risk Claim

No digital identity, AI, blockchain, cybersecurity or reputation system can eliminate all risk.

TrustProto is designed to make trust evidence more visible, structured and actionable. It is not designed to make risk disappear.

24. Acceptance

By using TrustProto's Trust Score, AI Engine, Trust ID, Marketplace or related services, you acknowledge that you have read and understood this Disclaimer.

25. Contact

TrustProto AI OS

End of AI & Trust Score Disclaimer · Terms · Privacy