Amsterdam 2026
At #trstd connect we had an informative day of keynotes, sessions and real conversations with members, partners and prospects.
KI Innovation Award 2026 recognises #trstd’s work on verifiable digital trust.
The award recognises AI solutions that stand out through innovation, measurable impact and a compelling perspective for future development.
Will AI Choose Your Brand?
Watch the Trusted Shops and AWS webinar about AI visibility, verifiable AI agents and how Brands can prepare for machine-mediated decisions.
Watch #trstd connect Amsterdam 2026 sessions
Missed a talk or want to see it again? Watch the keynote, the partner sessions and the panel from Amsterdam.
Debeka protects you. Now also from fakes.
As a community built on mutual trust and care, Debeka does not just protect the well-being of its members – it also stands up for their digital safety. After all, protecting people today means safeguarding their most sensitive data. Because of this deep-rooted trust and popularity, phishing campaigns try to exploit this bond. With #trstd Login, Debeka ensures that the spirit of togetherness remains secure from brand theft and fakes.
You won’t catch every fake!
Why recognising common fake patterns can reduce risk, but cannot prove that a website, message or trust signal is genuine.
Questions about the #trstd community?
The Community of Trust brings together People, Brands, AI and partners who contribute to a digital world where trust can be verified rather than simply claimed.
Every verified identity, genuine experience and accountable interaction can add evidence others can rely on. Together, these contributions make it easier to recognise what is real – and harder for fakes to succeed.
People, Brands, AI agents and their operators, as well as partners that contribute knowledge, evidence, standards, services or protection.
They play different roles, but share the same principle: trust should be based on verifiable evidence, not appearances or claims.
By creating genuine, verifiable interactions.
A Person can contribute an authentic experience. A Brand can verify its identity and websites and stand behind its interactions. An AI agent can identify itself and its operator, act within its mandate and build reputation through verified behaviour. Partners can contribute evidence, expertise, standards or infrastructure.
Different contributions create different evidence, but together they strengthen the trust infrastructure.
No. Participation alone is not a seal of approval.
Trust starts with verified identity, but reputation develops through relevant behaviour and evidence over time. What matters is what can actually be verified about an identity, interaction or outcome.
Trust is earned, never bought.
Fakes succeed when appearances are mistaken for proof.
#trstd makes genuine identities, websites, experiences and interactions verifiable so People and machines have evidence they can check. The community also shares knowledge about fake patterns, emerging threats and the scale of the problem.
The goal is not to teach everyone to become a fraud expert. It is to make what is real provable.
Because digital interactions increasingly connect all three.
People rely on Brands and AI. Brands interact with People and AI agents. AI agents act for People and organisations and increasingly decide what information, services and Brands they use.
Trust therefore cannot work in only one direction. Each participant needs ways to prove relevant facts about itself and verify what matters about the others.
Trusted Shops SE is the Trust Authority behind #trstd.
It brings more than 25 years of experience in verifying businesses and websites, transaction-backed reviews, the Trusted Shops Trustmark and Buyer Protection. #trstd extends that experience into a shared trust infrastructure for People, Brands and AI.
Yes. #trstd is designed as an open trust ecosystem built on recognised standards.
Partners can contribute expertise, evidence, technology, standards, research, protection or integrations that strengthen verifiable trust across the ecosystem.