Deepfakes & fake IDs: Expert Q&A on the future of biometrics
Karthik Mani
GBG CPO of Documents & Biometrics
As fake IDs and deepfakes grow more sophisticated, the threat they pose to businesses, institutions and individuals is becoming harder to ignore. These tools are no longer the domain of amateur forgers—they now leverage advanced technologies that can bypass traditional security checks and exploit gaps in identity verification systems. In this evolving landscape, building trust requires more than just visual inspection; it demands robust, multi-layered identity verification solutions.
In this Q&A, Charles Cagliostro, President and Founder of TokenWorks, joins Karthik Mani, Chief Product Officer of Documents & Biometrics at GBG, to explore how biometric verification and document authentication are helping organizations stay ahead of identity fraud. Together, they unpack the latest trends, challenges and innovations shaping the future of identity security.
GBG is a digital identity technology company with 30+ years of experience in the identity verification space. To to strengthen your fake ID verification and synthetic identity fraud prevention, book a demo to learn how our document and biometric verification solutions can help protect your onboarding journey.
Understanding the new generation of fake IDs
In person ID checks are supposed to be lot more secure. What are the challenges that customers seem to have in these interactions?
In-person ID checks are often considered the gold standard of verification, but they come with a surprising number of vulnerabilities. For one, human error plays a major role. Bouncers, bartenders and retail workers are frequently under pressure, often working late hours in noisy, dimly lit environments.
Even experienced staff can be tricked by a confident demeanour or a fake that looks just good enough. Staff may be well-trained to spot obvious issues, but most aren’t equipped to verify the intricate details of hundreds of different license formats, especially those from out of state.
Additionally, patrons have become increasingly savvy in their approach. Many use real names, genuine photos and accurate physical characteristics on their fake IDs to reduce suspicion. Out-of-state licenses are a common tactic, playing on the assumption that a local bouncer is less familiar with that state’s design.
As license designs become more sophisticated and security features more varied, the gap between what’s visible to the naked eye and what actually constitutes a valid ID grows wider, leaving manual ID checks vulnerable to a new breed of high-quality counterfeits.
What makes the new generation of fake IDs so convincing?
Today’s fake IDs are produced with such sophistication that they often include the same features found in legitimate government-issued documents. Advanced elements like laser engraving, holographic overlays, polycarbonate layering and embedded chips are now commonplace in high-end fakes. Some even include precise microprinting, UV-reactive ink and barcode data that scans correctly, making them nearly indistinguishable from the real thing without the aid of professional-grade equipment.
Unlike the crude knockoffs of the past, these modern counterfeits are produced with industrial-level machinery and an eye for every detail down to micrometer-thick lamination. The result is a convincing card that can pass casual inspection and basic scanners. This technological leap has been driven by market demand, especially among college students, and enabled by access to high-resolution printing tools and specialized knowledge being shared and sold online.
Discover the latest fraud trends and tactics shaping modern identity verification and learn how we can help you stay ahead of them: Explore the GBG Trust Files.
How are these fake IDs produced and distributed?
Fake ID production has become an international operation run with remarkable precision. Sellers operate from overseas and advertise through slick, user-friendly websites that resemble e-commerce platforms. Customers select a state, upload a photo and personal details, and pay using cryptocurrency or gift cards. Orders are then shipped in deceptive packaging to avoid detection by customs.
Many sites offer detailed guidance on how to use the IDs convincingly. Some even provide advice on which retailers have less rigorous scanning systems or how to use self-checkout for alcohol purchases to avoid detection. These distributors promote their products with scientific precision, emphasizing specs like card thickness, print resolution and authenticity of laminate.
This has transformed what was once a shady black-market product into something that mimics a commercial-grade experience. Fake IDs have become more accessible and an increasingly normalized part of youth culture, despite the significant legal and ethical risks involved.
The impact of fake IDs and deepfakes
What are the primary concerns associated with fake IDs and deepfakes?
The implications of fake IDs go far beyond college nightlife. They present a serious threat to public safety and national security. Underage access to alcohol is only the beginning. The is growing concern realistic fake IDs can also be used to commit identity fraud or enable more severe crimes like human trafficking. The anonymity provided by fake credentials makes it difficult for authorities to trace perpetrators and even harder to hold the right individuals accountable in real time.
Deepfakes add an entirely new dimension to the threat landscape. AI-generated imagery can now mimic real faces with uncanny accuracy, allowing fraudsters to create synthetic identities that fool facial recognition systems or impersonate others during video verification.
When used in combination with a realistic fake ID, a deepfake can enable sophisticated scams in financial services, gig economy platforms and government benefits programs. This convergence of synthetic media and document fraud is forcing organizations to rethink what trust and identity really mean in a digital-first world.
For customers you serve, how prevalent are fake IDs
Fake IDs are more common than many businesses are willing to admit. In nightlife and entertainment hubs, especially near college campuses, they’re practically a rite of passage. Bars and clubs often experience waves of fake ID usage at the start of new semesters, with students coordinating bulk purchases to cut costs and ensure consistency across their friend groups. It’s not uncommon for bouncers to see several fakes in a single night.
Beyond the nightlife scene, fake IDs are also being used to bypass age-restricted purchases in retail and online environments. Convenience stores, dispensaries and festivals are all targets. Some retailers report seasonal spikes in fraudulent activity, especially around major events and holidays. Despite the risk of fines, license suspensions and even criminal charges, the continued availability and believability of fake IDs make this a persistent challenge for businesses of all sizes.
How to detect convincing fake IDs
How can identity verification tools help curb the threat of fake IDs and deepfakes?
Identity verification tools help by combining document analysis, facial biometrics and behavioral signals into a single, streamlined process. These systems don’t just confirm if an ID looks real, they check if the data on it matches known records, if the person holding it is present and consistent, and if any part of the interaction shows signs of manipulation. This makes it exponentially harder for bad actors to succeed with even the most realistic forgeries.
Because today’s fraud attempts often blend digital trickery with physical fakes, these tools provide holistic defences that go beyond traditional checks. For example, liveness detection can stop deepfakes in their tracks, while document proofing can uncover inconsistencies invisible to the naked eye. When deployed across industries, from hospitality to healthcare, these systems reduce risk while improving compliance and customer trust.
What are some effective identity verification solutions available today?
The most effective solutions today offer multi-layered defenses built around biometric verification and adaptive document analysis. These platforms can detect signs of tampering, verify facial matches against live images and flag suspicious behavior in real time. Importantly, many also include continuous learning capabilities, allowing them to evolve as new threats emerge.
Effective tools work across a range of environments, from bars and events to remote onboarding for digital services. They support everything from mobile ID scanning and facial recognition to deepfake detection, giving businesses the flexibility to balance convenience and security. By capturing the right data at the right moment and validating it against trusted sources, these systems make identity fraud significantly harder to commit, and easier to stop before damage is done. The TokenWorks Identifake utilizes forensic scanning to check against over 8,000 ID types all across the world. While the DMV check feature on all TokenWorks scanners allows customers to check an ID against the DMV records in 44 states.
How GBG helps businesses detect deepfakes and fake IDs
In an age where AI can generate a hyper-realistic video of a person in seconds, traditional identity verification is no longer enough to protect your business. Fraudsters are increasingly sophisticated, using manipulated documents and synthesized media to bypass standard onboarding checks. This evolution in financial crime often results in a difficult choice for firms: introduce heavy friction that discourages legitimate customers or speed up onboarding at the risk of high fraud losses.
GBG is a global identity technology company with more than 30 years of experience in solving this challenge. We power 800 million identity checks per year for over 20,000 customers globally. Whether you need to deploy standalone document and biometric solutions or require an end-to-end identity orchestration platform, we provide the infrastructure needed to scale compliantly.
Our orchestration platform, GBG Go, lets you verify genuine customers in 195+ countries. By accessing more than 80 Know Your Customer (KYC) modules through a single API, you can integrate advanced biometrics and document verification without the engineering overhead of managing multiple vendors.
Here are three reasons businesses like IBM, Vinoshipper, Nike, and Betway choose to partner with GBG:
Verify thousands of global identity document types with greater accuracy and coverage
Effective fake ID detection starts with deep document coverage and authentication that goes beyond a simple data check. That's why we help businesses verify customers against a wide range of trusted global and local data sources, more than 8,500 global identity document types (including Digital IDs) across 195 countries, and 450 sanctions, politically exposed persons (PEP), and adverse media lists.
The document library we maintain is continuously curated by Cifas-accredited forensic document experts who analyze millions of real-world document samples. In practice, this means every ID presented must meet up to 50 forensic authentication tests in seconds.
For biometrically chipped documents, we use NFC-enabled devices to digitally authenticate ID data directly with the issuer for the highest possible level of assurance. Our enhanced tamper detection delivers 98% effective protection from fraudulent modifications after an ID is issued, with a less than 1% false detection rate.
This technology identifies physical modifications like photo substitution or font manipulation and confirms the physical presence of a document to guard against screen presentation attacks.
We also support fast on-premise ID authentication. Our all-in-one scanners have built-in software to ensure personally identifiable information (PII) never leaves the device. This makes them especially valuable for high-security environments.
Layer document authentication with biometric verification and fraud detection intelligence
Modern fraud attacks often combine stolen identity data with manipulated documents, AI-generated selfies, or presentation attacks designed to bypass onboarding checks.
We help counteract these attacks with our biometric matching technology, which analyzes 68 biometric facial landmarks to confirm that the person presenting the document is its rightful owner. These algorithms are accredited by the National Institute of Standards and Technology (NIST) and designed to minimize bias across age, gender, and ethnicity.
We also use velocity fraud intelligence to identify suspicious patterns across accounts. This helps detect if the same biometric image or document is being used across multiple identities or repeated onboarding attempts.
And with passive liveness detection, you can confirm that a genuine user is present and protect your business against spoofing attempts like masks, printed photos, or injected video attacks. Because this works from a single selfie capture, without requiring the user to blink, smile, or follow instructions, it reduces user error and friction during the customer onboarding process.
This layered approach verifies three things: one, the identity document is authentic. Two, the owner is physically present. And three, the person in the session matches the document provided.
Accelerate genuine customer onboarding with risk-based identity verification in an end-to-end platform
Stronger fake ID verification shouldn't come at the expense of your conversion rates. When onboarding journeys are rigid, with the same checks applied to every user, genuine customers take longer to onboard – and may end up dropping off halfway through the process.
We designed our end-to-end KYC orchestration platform, GBG Go, to balance security and conversion via risk-based verification that adapts in real time. Instead of a one-size-fits-all process, you can apply streamlined flows for lower-risk users and escalate checks only when you need additional assurance.
You can go a step further with GBG Trust, which assigns risk scores based on a combination of identity, device, and behavioral signals across millions of cross-sector insights. By identifying suspicious activity early, you can fast-track genuine customers and focus your resources on high-risk applications.
The result is more efficient onboarding that helps you improve the KYC customer experience while maintaining a robust defense against deepfakes and synthetic identities.
Book a demo to discover how our advanced document and biometric authentication solutions can help strengthen your fake ID verification and deepfake detection capabilities.
FAQs: Fake ID verification and deepfakes
What are the limitations of traditional fake ID verification methods?
Traditional fake ID verification methods often rely on manual review of passports, driver's licenses, or ID cards, as well as static templates for these ID documents. While these checks can help identify obvious signs of ID fraud, they may struggle to detect sophisticated forgeries, synthetic identities, or deepfakes. Manual verification checks can also slow down the verification process and increase the risk of human error when reviewing large volumes of applications.
What modern technologies can be used for fake identity verification during onboarding?
Modern fake identity verification solutions use a combination of AI-powered technologies, including OCR to extract data from identity documents, machine learning to detect signs of fraud or manipulation, and biometric face matching to verify that the user matches their ID photo.
Advanced systems can also detect signs of tampering and verify security features found in genuine documents. Many providers also combine identity verification with AML screening and automated workflows to improve onboarding efficiency.
Can deepfakes bypass biometric face matching systems?
Basic biometric systems may be vulnerable to sophisticated deepfakes or spoofing attacks, especially if they rely on static image comparisons alone. However, modern verification solutions like GBG use machine learning, liveness detection, and behavioural analysis alongside face matching to detect manipulated content and identify potential mismatch issues.