Trust Stamp

Today, we announced two strategic transactions that will significantly grow the Trust Stamp ecosystem: • The acquisition of Lexverify • A 50% ownership stake in CyberFish 1/4

The project is financed by Xjenza Malta, through the FUSION: R&I Technology Development Programme Lite.

Instead of storing passwords, keys, or biometric templates, the system generates a cryptographic key from live biometric input during authentication. This shifts the model from protecting stored secrets to eliminating the need to store them at all.

Authentication shouldn’t depend on stored secrets. It should be generated from the person, on demand. That’s the model behind Biometric Secure Module (BSM), developed by our team in Malta. Featured in Think Magazine! thinkmagazine.mt/your-body-is-t…

Which makes the real question: Why are systems still storing what cannot be replaced, when better alternatives exist? 👉𝗦𝗲𝗲 𝗵𝗼𝘄 𝗯𝗶𝗼𝗺𝗲𝘁𝗿𝗶𝗰 𝘀𝘆𝘀𝘁𝗲𝗺𝘀 𝗰𝗮𝗻 𝘄𝗼𝗿𝗸 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝘀𝘁𝗼𝗿𝗶𝗻𝗴 𝘀𝗲𝗻𝘀𝗶𝘁𝗶𝘃𝗲 𝗱𝗮𝘁𝗮: truststamp.ai/book-demo.html

Biometric authentication is growing. So is the risk model around it. Passwords can be reset. Biometrics cannot. In 2025, a breach exposed billions of identity-linked records, including biometric identifiers, highlighting the lifetime risk of permanent identifiers.

Together, this expands our ability to help organizations navigate increasingly complex risk, compliance, and identity challenges in an AI-driven world. 👉𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗻𝗻𝗼𝘂𝗻𝗰𝗲𝗺𝗲𝗻𝘁: globenewswire.com/news-release/2… 4/4

As Andrew Gowasack shared: “By combining Cyberfish’s crisis-simulation expertise with Lexverify’s Large Language Model training capabilities, we can create a new paradigm in LLM training focused on modeling and resolving highly customized risk scenarios.” 3/4

Today, we announced two strategic transactions that will significantly grow the Trust Stamp ecosystem: • The acquisition of Lexverify • A 50% ownership stake in CyberFish 1/4

Eliminate repeat fraud. Protect your platform See how Trust Stamp helps stop repeat fraud: truststamp.ai/deduplication-… 4/4

With biometric deduplication & greylist checks, you can: - Detect duplicate faces across new applications - Help stop account opening fraud earlier in the process. - Strengthen your defenses without storing biometric templates. 3/4

Are the same fraudsters coming back? Here’s how to stop repeat fraud 1/4

👉 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲: resources.truststamp.ai/trust-stamp-ai… 5/5

Stable IT2 fixes this. It verifies who is present, not just what device is used. Ownership is bound to a live human, not hardware. ✅ No stored biometrics. ✅ No reusable secrets. ✅ Just cryptographic proof that the right person is holding the wallet. 4/5

Digital wallets have a trust problem. Today, ownership is inferred from possession. If the credential lives on the device, the system assumes it’s yours. That works... until the phone is stolen, shared, or compromised. Then anyone holding the device becomes you. 1/5

Biometric-bound age credentials bring that rule online, without storing biometrics, and without exposing identity. 👉 𝗟𝗲𝗮𝗿𝗻 𝗺𝗼𝗿𝗲: blogs.truststamp.ai/biometric-age-…

That’s how friendly fraud happens so easily. That’s why MFA doesn’t help when the same device receives every code. In the real world, verification has one simple rule: the right person must be physically present.

Online systems don’t struggle because they can’t check age. They struggle because they can’t check presence. Once an age credential lives on a device, anyone who unlocks that device can use it, including a child, sibling, or impersonator.