DIGITAL FRAUD DEFENDER

Defend against a new era of GenAI identity fraud

Generative AI is fueling digital identity fraud tactics that scale and adapt with alarming efficiency. Stay in control with Digital Fraud Defender — a powerful suite of Mitek capabilities that uses AI to beat fraudsters at their own game.

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Injection attack detection

Template attack detection

Deepfake attack detection

What is GenAI identity fraud?

GenAI-fueled identity fraud involves the use of deepfakes and large language models to create realistic fake digital assets—such as synthetic identities, documents, or voice recordings that can be used to bypass identity verification checks. These AI-driven tactics go beyond single attack vectors, enabling identity replication so precise that traditional detection methods often fail to spot them. In a Mitek and Censuswide identity study, 37% of risk leaders identified the rise of AI generated fraud as their top concern.

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Resilient identity verification solutions

The human identity is central to secure, seamless digital interactions, yet we face unprecedented threats. Generative AI arms bad actors with tools to forge, manipulate, and create hyper-realistic identity documents, enabling fraudulent account openings and takeovers. The financial toll is staggering and only expected to rise, driving banks and enterprises to seek more resilient identity verification solutions that include digital identity fraud prevention.

“GenAI in fraud could cost banks and customers up to $40 billion by 2027.”

Deloitte

Common GenAI fraud tactics

The solution to GenAI-driven identity fraud is AI-powered detection built to outpace evolving threats and protect against multiple digital fraud vectors.

Injection attacks

AI-generated images or videos can be injected into identity verification systems via virtual cameras or emulators – tricking them into believing that a live person is present during the IDV process.

Template attacks

Fraudsters use AI to generate ID templates that include accurate holograms, fonts, and security features, making these fakes challenging to detect, especially when paired with accurate personal information.

Deepfake attacks

Deepfakes can be used to create highly convincing fake identities or alter the appearance of existing ones, making it easier for fraudsters to pass identity checks.

Defend the customer journey against emerging digital fraud

Account opening

Account login

High-risk transactions

Safeguard digital identity verification against AI-enabled fraud tactics.

Basic identity verification solutions can no longer keep pace with the sophistication of GenAI-powered fraud. Criminal rings now use ID document templates, stolen PII, and synthetic identities to open fraudulent accounts in mass —and as soon as one tactic is detected, they pivot to the next. While document authentication, biometric matching, face liveness detection, and database checks are essential, catching advanced deepfakes and synthetic identities demands a more innovative approach. It requires AI-driven fraud detection systems capable of analyzing subtle inconsistencies, adaptive learning models to recognize new fraud patterns in real time, and multi-layered defenses that evolve as fast as fraudsters’ tactics.

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Protect customers from account takeover attacks

Account takeovers (ATO) have surged as fraudsters exploit weak authentication measures to seize control of accounts and initiate unauthorized transactions. A sophisticated identity verification solution—incorporating biometric matching, advanced liveness detection, and GenAI-powered fraud detection to spot digital manipulation and injection attacks—reinforces authentication and reverification processes, providing a strong line of defense against ATO attempts.

Go passwordless

Protect critical transactions

After account onboarding, additional verification becomes essential at critical points in the user lifecycle. For instance, high-risk transactions and account recovery should require step-up identity verification to ensure security. Without robust measures, these moments can become weak links, vulnerable to GenAI-fueled impersonation techniques. Enhanced, adaptive verification safeguards these critical actions, reducing the risk of fraud at every stage.

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Reduce vulnerabilities in step-up authentication processes

Counter GenAI-driven impersonation techniques

Safeguard critical user actions across the lifecycle

Digital Fraud Defender's key capabilities

Injection attack detection

Our unique, multi-layered approach to injection attack detection not only monitors for digital content but also analyzes the data stream through which images are fed into identity systems, looking for signs of tampering or manipulation. Digital Fraud Defender uses Virtual Camera presence detection, suspicious resolution detection, duplicate frame detection and other methods to prevent digital injection attacks.

Template attack detection

Digital Fraud Defender detects signs of organized fraud ring attacks by monitoring for the rapid and repeated use of the same personally identifiable information (PII) and portraits, as well as similarities in image backgrounds. This, along with the ability to compare faces to your known fraudster gallery, enables fast identification of recurring scams and fraud attempts from known bad actors, as well as alerting much faster to new AI template attacks.

Deepfake attack detection

Our unique deepfake fraud detection stems from a form of passive liveness detection technology that does not require active user participation or specific gestures to verify authenticity. This approach leverages advanced AI algorithms to analyze subtle clues in video or audio data that indicate whether the content is real or manipulated. Functionality includes digital manipulation detection and inspection across multiple layers within media for artifacts left behind by even less common deepfake engines.

Deepfakes and the explosion of digital fraud

Synthetic identity fraud is growing, fueled by easy access to Generative AI tools. Fraudsters combine real and fake data to create synthetic identities that can pass Know Your Customer (KYC) checks online and in person, leaving organizations vulnerable to long-term fraud risks. Future-ready your fraud defenses with a holistic, layered approach.

Combat continually evolving digital identity fraud with Mitek

Mitek’s AI-based fraud detection capabilities are built by a team of experts in cybersecurity and machine learning. Our models are trained for specific threat vectors, ensuring that our neural networks learn and adapt to detect the unique artifacts of new fraud vectors.

Our architecture design allows us to respond to emerging threats including organized fraud ring attacks with unmatched speed and precision. We deliver machine learning models that are accurate, effective, and evaluated by an independent third-party lab as unbiased.

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Learn how to navigate a new era of GenAI-fueled identity attacks

Get your roadmap to understanding and combating advanced fraud at every stage of the customer journey. Created for professionals in financial services and regulated industries, the playbook is packed with actionable insights and practical strategies to strengthen defenses while keeping user experiences smooth and secure.

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Navigating a new era of AI fueled identity attacks