What one proves, another can verify.
As People, Brands and AI increasingly interact directly, claims alone are no longer enough. Each needs verifiable evidence about who or what they interact with.
Identity starts trust. Behaviour builds Reputation.
Knowing who you interact with is the starting point. What happens next builds the evidence behind reputation.
Who is acting?
Identity makes actions attributable. Brands prove who they are, AI agents identify themselves and their operators, while People can prove what is needed for an interaction without exposing unnecessary personal information.
make behaviour observable
How do they act?
Verified interactions make actions, outcomes and commitments observable. Behaviour shows how they act in practice – and creates the evidence others can rely on.
builds reputation
What does the evidence show over time?
Reputation develops from attributable, relevant and verified behaviour over time. It is evidence-based – not a claim, a popularity metric or a universal score.
One interaction. Multiple perspectives.
A verified interaction can create separately attributable evidence from more than one perspective. Each perspective keeps its source and context, making clear who observed or confirmed what happened.
Perspectives can corroborate each other, add context or reveal contradictions. Independent systems or providers may add further evidence about the same interaction or outcome.
One verified interaction
Connected to who was involved and what actually happened.
Perspective A
What was requested, done or experienced.
Perspective B
What was delivered, observed or confirmed.
One verified interaction
Connected to who was involved and what actually happened.
Perspective A
What was requested, done or experienced.
Perspective B
What was delivered, observed or confirmed.
One verified interaction
Connected to who was involved and what actually happened.
Perspective A
What was requested, done or experienced.
Perspective B
What was delivered, observed or confirmed.
Evidence quality matters more than volume.
More evidence does not automatically mean stronger evidence. Repeating the same weak claim does not make it stronger; independent confirmation can. What matters is provenance, independence, corroboration, relevance, context and freshness. A long positive history cannot average away a serious negative or safety-critical event.
At #trstd, evidence is verified and governed by the Trust Authority.
Evidence can come from interactions, identities, credentials and independent systems. The #trstd Trust Authority verifies and attests relevant evidence, and preserves its provenance and status.
Transparent rules determine which evidence is recognised and how corrections, remediation, restrictions or revocations are handled. The Trust Authority operates independently of any single party and applies these rules impartially. Through #trstd, the resulting trust signals become verifiable and machine-readable, while the party using them remains in control of the decision.
Interactions · identities · credentials · independent evidence
Provenance · validity · status · machine-readable evidence
25 years as a Trust Authority. Now machine-readable.
For more than 25 years, Trusted Shops has connected shoppers and online shops with confidence – by verifying businesses and websites, awarding qualifying shops the Trusted Shops Trustmark, grounding reviews in real transactions and protecting shoppers through Buyer Protection. This has grown into a Community of Trust where millions of People and thousands of Brands experience verified trust in practice.
- 30M+
- verified identities
- 30K+
- verified websites
- 175M+
- customer reviews
- 800M+
- buyer protections
As the Trust Authority behind #trstd, Trusted Shops SE verifies and governs the evidence created across interactions between People, Brands and AI – the foundation for verifiable, machine-readable trust signals. Every verified identity, website, review, protection and interaction adds verifiable context to the #trstd trust infrastructure.
Together, we are #trstd.
Built on standards. Making trust the standard.
#trstd is standards-first and protocol-neutral. It builds on recognised standards for identity, authentication, credentials, authorisation and interaction instead of replacing what already works.
#trstd. The infrastructure that makes trust verifiable.
For AI, #trstd <protocol> connects recognised standards with verifiable evidence, reputation and machine-readable trust signals.
#trstd shares the proof. Not the dossier.
#trstd makes it possible to prove the relevant fact without exposing more personal, commercial or technical information than the interaction requires.
What can be proven depends on the source. What should be shared depends on the context.
We all rely on trust. #trstd makes it verifiable for you.
Questions about the #trstd ecosystem?
#trstd connects People, Brands and AI through shared trust infrastructure. It makes identity, evidence, reputation and trust signals verifiable and machine-readable, so each can prove relevant facts and verify what matters before deciding who or what to trust.
Identity makes actions attributable. Verified interactions create evidence about how someone or something behaves in practice. Reputation develops from attributable, relevant and verified behaviour over time — based on evidence rather than claims or popularity.
Yes. A verified interaction can create separately attributable perspectives showing what was requested, done, delivered, observed or confirmed. These perspectives can corroborate each other, add context or reveal contradictions, while independent systems can contribute further evidence.
Quality matters more than volume. #trstd considers provenance, independence, corroboration, relevance, context and freshness. Repeating the same weak claim does not automatically make it stronger, and a long positive history cannot average away a serious negative or safety-critical event.
No. Trust depends on what is being done and under which conditions. For AI agents, behavioural standing is capability- and context-specific and remains separate from authentication and assurance. #trstd provides evidence and explainable trust context; the party using those signals remains in control of the final decision.
#trstd is standards-first and protocol-neutral. It builds on recognised standards for identity, authentication, credentials, authorisation and interaction instead of replacing what already works. For AI, #trstd <protocol> connects these foundations with verifiable evidence, reputation and machine-readable trust signals.
Share the proof, not the dossier. What can be proven depends on the underlying information; what should be shared depends on the context. #trstd makes it possible to prove the relevant fact without exposing more personal, commercial or technical information than the interaction requires.