trusted.ms is the trust and assurance layer for the AI era — helping you verify identities, validate AI systems, and prove authenticity in a landscape where seeing is no longer believing.
AI has made content cheap to generate, identities easy to fake, and authenticity hard to take for granted. The old assumption — that what you see, read, or receive is genuine — no longer holds.
Trust now has to be actively established, not quietly assumed. Convincing fakes, synthetic identities, and AI-generated content mean that assuming authenticity is now a genuine vulnerability.
The people and organizations that can establish and prove trust will have a decisive advantage in the AI era.
Convincing fakes that the eye alone cannot catch are now trivially easy to generate at scale.
Organizations deploy AI agents they cannot reliably validate — accepting behavior on faith, not evidence.
Documents, credentials, and digital content can be altered and presented as genuine with no visible trace.
Every system that trusts without verifying is a liability waiting to be exploited by AI-powered adversaries.
trusted.ms turns 'I think this is legitimate' into 'I can prove it' — across identities, AI systems, and the content they produce.
Confirm that the person, machine, or agent you are dealing with is genuinely who or what it claims to be, in a world where impersonation is easy and cheaply automated.
Validate that AI systems are what they claim to be and behave within stated bounds, so you can rely on them with evidence, not faith. Know your agents.
Establish whether content and credentials are genuine and unaltered, helping you separate the real from the synthetic in an AI-saturated environment.
Replace blind trust with verifiable signals that anyone can confirm independently, removing the guesswork from who and what to believe across your ecosystem.
Designed for the specific ways AI undermines trust — deepfakes, synthetic identities, manipulated content — and the precise controls needed to counter them.
Carry verifiable trust signals that let the people and systems you interact with confirm your legitimacy for themselves, without taking your word for it.
From identifying what matters to operating with verified confidence — trusted.ms makes the trust lifecycle systematic and provable.
Identify the identities, systems, or content where authenticity actually matters to your operations and risk profile.
Use trusted.ms to check identities, validate AI systems, and confirm authenticity with signals you can rely on and audit.
Carry verifiable trust signals that let the people and systems you interact with confirm legitimacy independently.
Make decisions, transact, and collaborate knowing trust has been established rather than assumed.
trusted.ms serves every stakeholder who needs to verify, prove, or operate in an AI-saturated environment.
Verify identities and content across all touchpoints in an AI-saturated world, without relying on assumption or outdated perimeter trust models.
Defend against synthetic identities and deepfakes with verifiable signals that give evidence where the eye alone cannot keep pace with adversaries.
Prove the authenticity of users, agents, and content to your customers — turning trust into a competitive differentiator, not just a compliance checkbox.
Adopt AI systems you can trust and demonstrate you trust — with AI system assurance that validates behavior against stated bounds.
Replace assumptions with auditable evidence across identity, AI systems, and content — making the provable case for regulators and auditors.
Separate what's real from what's generated. trusted.ms gives any individual or team the tools to verify authenticity rather than hope for it.
AI has dissolved the default trust the digital world quietly ran on. Convincing fakes, synthetic identities, and AI-generated content mean that assuming authenticity is now a genuine vulnerability.
When trust can no longer be assumed, it has to be verifiable. A trust layer that lets you confirm identities, systems, and content turns uncertainty into a manageable, provable thing.
The people and organizations that can establish and prove trust will have a decisive advantage. trusted.ms is built to give them that edge.
Trust signals you can check rather than trust you have to assume — evidence-based confidence at every interaction.
Designed for the exact ways AI undermines trust and the verification needed to restore it — not adapted from pre-AI tooling.
Verify others and prove yourself. trusted.ms works in both directions — inbound verification and outbound legitimacy signals.
Every trust decision is backed by evidence you can surface, share, and audit — not a black-box score or gut feeling.
Wherever authenticity matters and AI raises the risk, trusted.ms provides the verification layer.
| Scenario | Threat | What trusted.ms Does | Outcome |
|---|---|---|---|
| Customer Onboarding | Synthetic identity fraud | Verify identity authenticity end-to-end | Real customers confirmed |
| AI Agent Deployment | Unverified AI behavior | Validate AI system against stated bounds | Agents trusted with evidence |
| Executive Communications | Deepfake impersonation | Verify sender and content authenticity | Impersonation eliminated |
| Document & Contract Review | Manipulated credentials | Confirm content is genuine and unaltered | Tamper-proof verification |
| Third-Party Vendor Access | Unverified third parties | Require verifiable trust signals on entry | Zero assumed trust |
| Media & Content Publishing | AI-generated disinformation | Authenticate content origin and integrity | Provable provenance |
trusted.ms integrates with the identity, security, and AI platforms your teams already depend on.
Built for the trust requirements of regulated industries and security-first enterprises.
Independently audited security, availability, and confidentiality controls.
Full data privacy compliance with EU and international data protection regulations.
Designed to support healthcare organizations handling protected health information.
Every trust decision is verified. No assumed access, no implicit trust granted anywhere.
trusted.ms is the verification layer for the AI era — confirming identities, validating systems, and establishing authenticity you can rely on. Don't assume trust. Verify it.