BioID GmbH

BioID GmbH BioID anonymous face recognition - Securing privacy by design. Our service is provided with a special focus on data privacy, reliability and security.

Prevent Identity fraud, deepfakes and account takeovers with AI-powered face recognition and certified /IEC 30107-3 Level 3 & , SaaS, Made in Germany BioID is the cloud biometrics company with advanced liveness detection offering multimodal face, eye and voice recognition. Guided by the vision that anonymous biometric recognition empowers Internet users to secure their online identities with privacy, BioID offers a reliable link between a real person and digital identities. This is performed by verifying the user's presence in a convenient and natural way - just the way you look or the way you sound! BioID ist das Cloud-Biometrie-Unternehmen. Wir bieten eine starke, leicht zu bedienende, datenschutzfreundliche und sichere Gesichts-, Augen- und Spracherkennung für alle Personen, auf jedem Gerät, jederzeit und an jedem Ort, um sie in der Cyberwelt zu schützen und Passwörter vergessen zu können. BioID verfolgt die Vision, das Internetnutzer durch die anonyme biometrische Erkennung ihre Onlineidentität zuverlässig sichern können. Die Software stellt dazu eine vertrauenswürdige Verbindung zwischen einer realen Person und ihren digitalen Identitäten her, durch Überprüfung der Anwesenheit des Benutzers auf eine bequeme und natürliche Art und Weise – durch das Aussehen und/oder die Stimme. Die BioID-Gruppe ist in Privatbesitz und in der Schweiz, Deutschland und den USA vertreten.

Biometrics Made in Germany – discussed this week at the annual Darmstadt Biometrics Week, hosted by Fraunhofer IGD.With ...
15/09/2026

Biometrics Made in Germany – discussed this week at the annual Darmstadt Biometrics Week, hosted by Fraunhofer IGD.

With an agenda full of injection attacks and deepfake detection, this is just the right place to be for our team.

Attending, presenting, demonstrating – as every year for decades, we are excited to support and learn.

Biometrics is no longer only about what happens in front of the camera – this is our takeaway from the German IT Security Association (TeleTrusT) Biometrics Working Group workshop, organised in cooperation with the European Association of Biometrics (EAB) at Fraunhofer IGD.

One of the highlights was the discussion around injection attacks, deepfakes and, particularly, how the attack surface is evolving. For years, much of the conversation around biometric attacks focused on what could be presented to the sensor: a photograph, mask or other physical artefacts.

Injection attacks change the picture.

An attack can take place after the biometric sensor and before signal processing, where biometric data or signals can potentially be manipulated or injected digitally. And this has an important consequence:
Scalability.

Unlike many physical presentation attacks, digital injection attacks can potentially be automated and repeated at scale across applications, devices and environments.

The deepfake landscape makes this even more relevant.
From face swaps and facial attribute editing to synthetic identities, face morphing and generated video, the ability to create increasingly convincing biometric content continues to evolve.

The takeaway is simple:
Biometric security cannot stop at asking whether the face looks real. We increasingly need to ask whether the entire biometric signal and processing pipeline can be trusted.

This is where liveness detection, injection attack detection and deepfake detection increasingly come together.

A very worthwhile day in Darmstadt, and another reminder that in digital identity, the attack surface keeps moving.

The ID Is Legitimate.But Is the Person Real?A deepfake is the content. An injection attack is the delivery method.Did yo...
10/09/2026

The ID Is Legitimate.

But Is the Person Real?

A deepfake is the content. An injection attack is the delivery method.

Did you know that an attacker can potentially inject synthetic media directly into the processing pipeline without presenting it to a physical camera at all?

Presentation Attack
↓
Fake content is presented to the camera.

vs.

Injection Attack
↓
Fake content is inserted in the biometric process, skipping/manipulating the real camera signal.


BioID helps protect across these attack surfaces.

1️⃣ BioID's Face Liveness Detection is independently tested to ISO/IEC 30107-3 Level 3 / Level C for sophisticated presentation attacks.

2️⃣ BioID's injection attack detection ( ) helps, if a process is attacked differently - by injecting media directly, suggesting the photo or video is being captured live by the camera but instead using prerecorded or manipulated material.

3️⃣ Complementary AI-powered detection helps identify synthetic or manipulated facial content - no matter if presentedto the camera or injected in the process.

Interested? Test our tech at the BioID Playground!

   : More deepfake attacks are bypassing remote verificationDespite ever-stronger onboarding and KYC controls, the indus...
08/09/2026

: More deepfake attacks are bypassing remote verification

Despite ever-stronger onboarding and KYC controls, the industry sees fraud win far too often, and deepfakes are a key driver.

The latest LexisNexis “True Cost of Fraud” study (US & Canada) highlights how digital channels are fuelling higher fraud losses and increasingly sophisticated account takeover attempts; fittingly, leading IDV providers are reporting a sharp rise in deepfake‑driven attacks that actively target remote verification and liveness checks.

Therefore, trust can't stop at “face matching.”
We also need to ask: Is the face genuine? Is there a real person behind it?

For us at BioID, this confirms that our 2026 BioID Bingo point – “More deepfake attacks bypass remote verification” – has already become reality:

✅ Fraudsters can buy deepfake‑as‑a‑service tools on demand

✅ Remote onboarding flows are under constant, automated attack

✅ Legacy liveness checks are no longer enough


This is why, BioID's deepfake‑resistant liveness detection is built to:

✅Detect AI-generated faces, replay and video‑injection attacks in real time

✅Work reliably across devices, networks and lighting conditions

✅Integrate easily into existing KYC, eID and authentication flows


Injection Attacks, Deepfakes, Liveness - all covered with one API? While the attacks differ in ex*****on, they all lead ...
01/09/2026

Injection Attacks, Deepfakes, Liveness - all covered with one API? While the attacks differ in ex*****on, they all lead to a serious threat - identity fraud.

If you are intending to add an extra layer of security to verify real users and block impersonation, you may want to look into our detection services - ranging from pure detection, active and passive to injection attack detection through our 2004 patented challenge-response.

Contact us or visit our BioID Website to learn more!

When a camera looks like a pair of glasses, what does consent look like?Ray-Ban Meta smart glasses, already available ac...
27/08/2026

When a camera looks like a pair of glasses, what does consent look like?

Ray-Ban Meta smart glasses, already available across numerous European markets, including Germany, France, Italy, Spain, and the UK, are becoming increasingly popular, combining a familiar everyday
object with cameras, microphones, and AI.

And that's where an interesting debate begins.

Taking a photo with a smartphone is usually obvious. With smart glasses, recording can be much less noticeable, even though Meta has built in a visible LED to indicate when the camera is active.
Recent controversies suggest that society isn't quite comfortable with the answer yet. Cases of people being filmed without their knowledge have reignited concerns about privacy, consent and the normalization of being recorded.

The technology itself isn't necessarily the problem.

The question is whether the people being photographed have a real chance to know and consent.

And as AI becomes increasingly capable of analysing faces, voices and surroundings, a recorded image can become much more than a photograph.



And Europe, with its EU AI Act's transparency rules, requiring certain AI interactions, biometric uses and AI-generated/manipulated content to be made transparent, alone cannot answer the question
of what meaningful consent looks like when recording becomes almost invisible.

For companies developing AI and biometric technologies, this raises a fundamental principle:

Innovation needs to make trust more visible - not privacy more invisible.

Smart glasses may offer enormous potential for accessibility, productivity and everyday interaction. But the more seamlessly technology integrates into our lives, the more important privacy by
design, transparency and meaningful consent become.

If a camera becomes almost invisible, should the responsibility to make recording visible become even greater?








A fraudster doesn't necessarily need to create a fake account to exploit a digital service. Consider “Pell running”, a s...
25/08/2026

A fraudster doesn't necessarily need to create a fake account to exploit a digital service. Consider “Pell running”, a scheme in which criminals use fake identities to enrol students, submit FAFSA applications and collect aid without attending classes.

The example is specific to education and financial aid. But the underlying problem is much broader.

It highlights a fundamental weakness in traditional identity verification:
We often verify someone when they enter the system and then largely assume the identity remains trustworthy.



So, the question becomes:
What happens after onboarding?



🔗Read more: https://bit.ly/4y0WpFs

On January 02, 2027, the EUDI wallet will be launched in Germany.This marks the beginning of a new phase of digitisation...
20/08/2026

On January 02, 2027, the EUDI wallet will be launched in Germany.

This marks the beginning of a new phase of digitisation in Germany and Europe: Citizens will be able to identify themselves securely and digitally, easily store and share evidence on their smartphones, and use digital services without media discontinuity.

The EUDI wallet is a key project for digital sovereignty, modern administrative action and competitive digital business models.

Many people say:
"The EUDI Wallet will change digital identity."
We think that's only half the story.
A more interesting perspective is:

The EUDI Wallet doesn't create trust; it carries trust.
But this trust has to be established before a credential is ever placed into the wallet.

That raises fascinating questions:
How do we know the identity was verified correctly?
How do we prevent deepfake-assisted onboarding?
How do we balance strong identity assurance with privacy?
How can biometrics strengthen trust without becoming surveillance?

Those are exactly the kinds of questions that organizations like BioID are helping to answer.

The EUDI Wallet doesn't remove the need for identity proofing; it actually increases it.

Before someone can receive a trusted digital identity or digital credential, there must be confidence that:

- The person is who they claim to be.
- They're physically present during onboarding.
- No spoofing or deepfake attack is occurring
- The identity verification process is secure and privacy-preserving.

Those are exactly the areas where technologies such as biometric face matching, certified liveness detection (PAD), and identity verification contribute to trusted digital identity ecosystems.

BioID provides these capabilities as building blocks that can be integrated into broader eIDAS-compliant identity proofing workflows.

How do you see biometrics shaping the future of the EUDI Wallet and eIDAS 2.0?

🔗Read more: https://bit.ly/4g9QEz1








For years, we have asked one question:Is this person real?But as deepfakes, synthetic identities and autonomous systems ...
17/08/2026

For years, we have asked one question:

Is this person real?

But as deepfakes, synthetic identities and autonomous systems become more convincing, I think we need to ask a harder question:

Can we still trust the interaction?

I explore this in my latest article, The Next Fraud Won't Look Like Fraud.

The challenge is no longer only detecting what is fake. It is building digital ecosystems where identity, authenticity and trust can hold up as the systems around us become increasingly autonomous.

Because the next fraud may not look suspicious at all.

It may look exactly like something we already trust.







🔗Read more: https://www.linkedin.com/pulse/next-fraud-wont-look-like-bioid-gmbh-bjwxe/

In this edition of BioID's newsletter, we explore how AI is changing the way we think about trust online.From deepfake-p...
13/08/2026

In this edition of BioID's newsletter, we explore how AI is changing the way we think about trust online.

From deepfake-powered romance scams to synthetic identities, the line between real and artificial is becoming increasingly difficult to recognize.

This article looks at why digital trust, identity verification, and biometric technologies are becoming essential building blocks for a safer digital future.

🔗Read more about why, in the age of AI, trust should rely on evidence, not just appearances: https://www.linkedin.com/pulse/love-scams-age-ai-why-trust-needs-more-than-friendly-face-xbk3e/

Adresse

BartholomäusStr. 26D
Nuremberg
90489

Benachrichtigungen

Erfahren Sie als Erste/r von Neuigkeiten und Aktionen: Wir schicken Ihnen eine E-Mail, wenn BioID GmbH etwas veröffentlicht. Ihre E-Mail-Adresse wird für keinen anderen Zweck verwendet, und Sie können sich jederzeit abmelden.

Service Kontaktieren

Nachricht an BioID GmbH senden:

Verknüpfungen

Teilen