Microblink introduces the first tool for publicly testing Gen AI document fraud. Alex Georgiev Senior Product Manager Not long ago, creating a convincing fake identity document required time, skill, and specialized tools. Today, all it takes is a prompt, and virtually anyone can do it. With the rise of generative AI, anyone can produce realistic passports, driver's licenses, or proof-of-address documents using widely available tools. These images are often good enough to pass traditional visual checks and basic data validation. In other words, document fraud has been democratized. As a product team working in identity verification, here at Microblink Microblink Ltd. has been tracking this shift closely. It's a new paradigm. Namely, how do you detect a document that was never "forged" in the traditional sense, but generated from scratch? Introducing the Generative AI Detection Check. To address this, Microblink Ltd. has developed a new functionality called the Generative AI Detection Check. This is a new layer within the Microblink Identity Intelligence OS designed specifically to identify ID documents that are likely LLM-generated or heavily edited using an LLM. At a high level, the check: * Analyzes images of identity documents (passports, ID cards, etc.) * Estimates the probability that the image was generated or manipulated by AI * Integrates directly into the overall verification outcome This isn't about spotting a single anomaly or checking a specific field. The model evaluates the image as a whole and looks for patterns and signals that indicate generative processes rather than genuine capture. If a document fails this check, it is treated as fraudulent at the visual level and contributes to a rejection decision. Why This Matters Now. Generative AI has fundamentally changed the nature of document fraud in three important ways. First, creation is now effortless. What once required specialized tools or expertise can now be done with a simple prompt, using a sample document as a base to generate a convincing fake. Second, the quality of these fakes is significantly higher. AI-generated images often appear realistic enough to pass traditional verification checks, reducing the effectiveness of visual inspection alone. Third, fraud can now scale without limits. Once a successful method is identified, it can be replicated instantly and deployed at volume, allowing attackers to operate with unprecedented speed and efficiency. This creates a new class of fraud that isn't well addressed by legacy approaches. The Generative AI Detection Check is designed specifically to target this gap. How It Works in Practice. From an integration perspective, the check fits naturally into existing verification workflows, particularly in scenarios where users upload document images directly rather than capturing them through a live camera flow. When a user submits a document: * Images are uploaded or provided digitally * Each image is analyzed by the GenAI detection model * An outcome is generated (such as Pass, Fail, or Warning) * The result contributes to the overall verification decision The model is specifically designed to analyze digitally submitted document images for signals associated with generative AI creation or manipulation. In live capture scenarios using mobile or web cameras, additional verification layers such as liveness detection, presentation attack detection, and capture integrity checks remain critical components of the broader fraud defense strategy. These layers are designed to detect behaviors such as screen replays, injected streams, recaptured synthetic documents, or other presentation-based attacks that may reduce or obscure the low-level artifacts associated with generative AI generation. Built for Real-World Conditions. A key focus for Microblink Ltd. was ensuring that this capability performs reliably in the types of environments where generative AI document fraud is increasingly appearing, particularly direct-upload and digitally submitted document workflows. The model is trained on large-scale datasets containing both genuine and AI-generated identity documents and is designed to generalize across different generative AI tools and models. Rather than targeting a single generation method, it analyzes broader image-level signals and artifact patterns associated with synthetic generation. At default settings, the GenAI Check has a False Reject Rate (FRR) of 0.076%, meaning legitimate documents are rarely rejected, while more than 99% of manipulated documents are detected within supported testing scenarios. Importantly, this check is designed as one layer within a broader identity verification and fraud detection framework. In production environments, different fraud vectors require different detection approaches. Directly uploaded synthetic documents, recaptured AI-generated documents, screen presentation attacks, injected streams, and manipulated live sessions each produce different signals and are addressed through multiple complementary verification layers working together. A Note on Edge Cases. Like any system operating at this level of sensitivity, there are edge cases to be aware of. For example, certain heavily post-processed images, such as those affected by extreme device-level HDR, sharpening, or beautification effects, can occasionally alter the natural characteristics of an image. Microblink Ltd. continuously evaluate these edge cases and refine the model to maintain reliable performance across real-world capture conditions. Importantly, this check is designed specifically for identity document verification. While Microblink Ltd. test broadly, it is only applied in production when an actual identity document is detected. Try It Yourself: Gen AI Check Demo. One challenge Microblink Ltd. has seen is that many teams understand generative AI fraud conceptually, but haven't experienced it directly. To bridge that gap, Microblink Ltd. built a self-serve demo environment within its Developer Hub. You can access the demo here. With the GenAI Check Demo, you can: * Upload your own document or use sample data * Run the Generative AI Detection Check in real time * See how the system evaluates and flags potential GenAI manipulation The demo is designed to give teams a simple, hands-on way to explore generative AI document fraud detection at their own pace, without requiring a full integration or sales process. It also provides an opportunity to better understand how this capability fits within broader identity verification workflows and layered fraud checks Detecting this new class of threats requires moving beyond traditional approaches and introducing new signals into the verification process. The Generative AI Detection Check is one step in that direction. You can try it out at this link. Registration with a company email domain is required. May 12, 2026 Table of contents. Introducing the Generative AI Detection Check Why This Matters Now How It Works in Practice Built for Real-World Conditions A Note on Edge Cases Try It Yourself: Gen AI Check Demo

Microblink wins World AI Cannes Festival Excellence Award for deepfake detection Innovation. Award recognizes the global identity verification leader's proprietary Fraud Lab for simulating emerging AI-driven fraud before it reaches customers. Microblink received the WAICF Grand Jury Prize for pioneering a proactive approach to identity verification and fraud prevention. Its Fraud Lab uses generative AI to manufacture and neutralize emerging threats, helping organizations stay ahead of deepfake-driven fraud while advancing privacy and financial inclusion. CANNES, France - February 13, 2026 - Microblink, the identity intelligence OS, was today named the winner of the Excellence Award - Grand Jury Prize at the World AI Cannes Festival (WAICF) 2026. The prestigious award, presented during a dedicated ceremony, recognizes Microblink's groundbreaking use of Generative AI to combat the democratization of identity fraud. The Grand Jury selected Microblink for its Fraud Lab initiative, which fundamentally changes how AI models are trained to detect deepfakes. Rather than relying on historical data - effectively waiting for fraud to happen - Microblink utilizes an adversarial AI approach to proactively manufacture threats and "vaccinate" its systems before attacks occur in the wild. Turning AI Against Itself to Protect the Global Economy As the "evasive age of AI" accelerates, Microblink's research has identified a 200% year-over-year increase in face-swap identity fraud. The winning submission highlighted how Microblink's Fraud Lab functions as a synthetic identity factory to counter this threat: * Industrialized "Red Teaming": The lab generates over 100,000 synthetic IDs per month and maintains a library of AI-generated document variations to train its models. * Real-World Impact: For a single major fintech client, Microblink's enhanced detection now blocks approximately 1,300 fraudulent identity documents every week - documents that likely would have passed previous checks. * Privacy-First Innovation: By training on self-generated synthetic data rather than sensitive customer PII, Microblink solves the "Privacy-Compliance Paradox," ensuring compliance with strict regulations like the EU AI Act while expanding coverage capabilities. "We are honored to receive the Excellence Award at WAICF. We believe that AI should be used to build trust, not erode it. This recognition validates our belief that in the age of generative AI, traditional reactive security is no longer enough," said Hartley Thompson, CEO of Microblink. "We don't just respond to fraud; we anticipate it. By generating thousands of virus variants in our lab, we engineer the vaccine before the threat ever reaches our clients." The WAICF Excellence Award highlights projects that are "audacious for a better world" and demonstrate a positive economic and social impact. Microblink's technology was noted not only for preventing financial loss but for protecting individuals from the trauma of identity theft and promoting financial inclusion through sub-3-second verification speeds. About Microblink Microblink is the Identity Intelligence OS that establishes Know Your Actor: control over people and agents, how risk is assessed, and how decisions are made across digital journeys. Built for an adversarial AI era, Microblink replaces static verification with continuous identity control. As the only solution spanning IDs, biometrics, and payment cards, Microblink delivers a real-time command center where signals, policies, and decisioning can be calibrated with granular precision. Companies use Microblink to adapt faster than fraud, optimize outcomes over time, and enforce trust at scale across onboarding, authentication, and every moment in between. In 2025, Microblink processed 2.9 billion identities across 195+ countries/territories. Its proprietary Fraud Lab generates 100,000+ images monthly for training and testing models, achieving 100% deepfake detection in DHS-powered testing. Media Contact: Paul Wilke Upright Position Communications on behalf of Microblink [email protected] +1-415-881-7995 February 17, 2026

Introducing Trust Talks: Microblink's inaugural virtual panel series. The identity, fraud and trust landscape never stops evolving, and so professionals in this space need need to be up to date on the latest trends, tactics and innovations. That's why Microblink is so excited to launch Trust Talks, an ongoing virtual panel series 2026 trends for fraud and compliance leaders. With expert speakers from leading companies such as Block, Bill.com, Veem, Delivery Hero and more, this panel series will dive deep into the most pressing issues in fraud and identity today. Initial topics include: Soon, these digital representatives will open accounts, move money, detect fraud, and even offer financial advice to users. But with that autonomy comes a dangerous question, namely who's really behind the action? This discussion will unpack how institutions can tie every autonomous system to a verified, traceable identity. Just as KYC redefined customer due diligence, KYA (Know Your Agent) demands cryptographic credentials, auditable signatures, and behavioral verification for AI systems that think and act on behalf of humans. With every new headline about AI-driven scams or deepfake heists, it's getting harder to separate genuine threats from hype. What's real? What's still theoretical? And what's already showing up in your fraud queue? That's why Microblink Ltd.'ll do some myth-busting as it pertains to AI fraud, cutting through the noise to reveal how generative and agentic AI are actually being used in fraud today, and what it can and can't yet do. Attendees will leave knowing which "AI fraud" fears deserve their time and attention, and which ones belong in the realm of science fiction. The advancement of technology continues to move at an ever-increasing pace, following a trajectory that makes Moore's Law look conservative. This panel will break down some of the key trends and make predictions about what's ahead in areas such as fraud-as-a-service, stablecoins, digital ID's, the future of personalization and much more. These topics are only a glimpse of the breadth and depth that will be covered during this ongoing series. Fraud doesn't stop, and neither do Microblink Ltd.. Register here now to reserve your spot today.