Partner Interview - Resistant.ai

Our Solution Partners bring huge value to the Detected platform. We curate the world’s best across data, identity, screenings, and much more. Our Partner Spotlight series gives our partners a chance to share what makes their solution unique, highlight what they do best, and explain how we work together to create market-leading onboarding and monitoring capabilities.

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What is your name, who do you work for, and what is your role within your organisation?

My name is Kristyna Schusterova, and I’m a Product Manager at Resistant AI, the document fraud detection solution. I work at the intersection of product development and real-world fraud challenges, helping financial institutions, fintechs, and insurers defend their processes against evolving document-based threats, especially those now powered by AI.

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I collaborate closely with our customers and engineering team to shape solutions that detect fraud at scale and keep one step ahead of attackers.

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For those who may not be familiar, what does your company do and what makes your product offering unique?

Resistant AI detects fraud in documents, especially in documents like bank statements, utility bills, business licenses, income statements, and others used in onboarding, underwriting, and claims. Ultimately, we are totally document and language-agnostic.

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That’s because we focus on how a document’s built, not what it says. We analyse structure, metadata, and layout to detect signs of tampering, manipulation, or synthetic generation, even when the content looks perfectly legitimate.

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Our layered, AI-based detection system is trained on features from millions of real documents and adapts to new fraud tactics, including those powered by generative AI like ChatGPT. That allows us to catch threats that content-based or rule-based systems often miss.

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In short: we help businesses tell real from fake even when fakes look real.

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What problems do you help your customers solve, and how do you solve them better than others?

We help our customers tackle a rapidly growing problem: fraudulent and manipulated documents slipping through automated processes, whether during onboarding, underwriting, compliance, or claims.

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This includes everything from forged bank statements and incorporation certificates to AI-generated utility bills or digitally altered PDFs. These documents often look perfect, both to the human eye and to traditional fraud detection systems.

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What sets us apart is that we go beyond surface-level checks. Our technology analyses documents at a structural and behavioural level: how they were created, modified, or reused. We also detect patterns across submissions, helping uncover serial forgery and large-scale fraud automation, something most tools can’t do.

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As generative AI lowers the barrier to entry for fraud, our customers rely on us to scale detection without overloading their teams with false positives or manual reviews.
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While our core focus here is document analysis, we go further, combining document forensics with serial fraud detection, comparative and behavioural analysis, and real-time threat intelligence. These layers make it harder for fraudsters to get through, following a “defence in depth” approach inspired by cybersecurity.

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What types of businesses or industries benefit most from your solution?

Our solution is most valuable to businesses that rely on documents to make financial decisions, especially when those processes are automated.

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This includes:

• Fintechs and neobanks verifying income or identity through documents like bank statements or pay slips
• Lenders and underwriters assessing creditworthiness based on submitted financial documents
• Insurers reviewing claims supported by photos, invoices, booking confirmation, or medical reports
• Compliance and onboarding teams dealing with KYC/KYB documentation at scale

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What these businesses have in common is the need to trust the documents they receive, without slowing down the customer experience. That’s where we make the biggest impact: enabling them to stay secure while remaining scalable.

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How do you see your offering complementing the Detected platform? Why is our partnership a natural fit?

Detected and Resistant AI solve different but deeply connected parts of the same challenge: trust in digital business interactions.

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Detected makes it easier to verify and onboard businesses, reducing friction in KYB processes. Resistant AI extends that trust by helping ensure that the documents submitted, bank statements, proof of address, ownership records are genuine and untampered.

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As fraud becomes more scalable and AI-powered, forgeries are no longer limited to experts. Our partnership helps Detected customers stay ahead, combining seamless onboarding with deep fraud resilience.

It’s a natural fit because both platforms share the same goal: enabling trust at scale without compromising speed or user experience.

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Can you give a real-world example of how your solution has helped customers in practice, ideally with measurable outcomes?

Absolutely. A great example is our work with Payoneer, a global payments platform.

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They were seeing increasingly sophisticated document fraud attempts during onboarding, especially with financial statements submitted to verify account activity or eligibility. Manually reviewing these documents was time-consuming and hard to scale.

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After integrating our Document Forensics solution, Payoneer was able to:

• Reduce manual review of suspicious documents by 90%
• Automate detection of forged or manipulated documents without disrupting legitimate users
• Strengthen onboarding trust without slowing down the customer journey

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This let their team focus only on high-risk cases while our system handled the scale of data they process. As Payoneer put it, we helped them “spot sophisticated fraud that would have otherwise gone unnoticed”—and they’re now better prepared to adapt as fraud tactics evolve.

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In your view, how is the market changing, and how are you staying ahead of those changes?

The market is changing fast, and fraud is becoming more scalable, automated, and AI-driven. What used to require skills is soon going to be accessible to anyone with a prompt and a ChatGPT account.

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We’re seeing a rise in high-quality fake documents, more first-party fraud, and an explosion of fraud-as-a-service platforms. Our Threat Intelligence team at Resistant AI has already identified hundreds of template farms offering hundreds of thousands of fake documents, ranging from ID documents and bank statements to death certificates. These templates can be bought and updated on those platforms, or used to train image generation tools like ChatGPT, Gemini and others.

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At the same time, businesses are being pushed to automate and scale their onboarding processes, leaving them vulnerable to mass exploitation by adversarial, criminal automations.

To stay ahead, we continuously evolve our detection systems, partner closely with customers, and build layered defences that adapt as fast as fraudsters innovate.

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What should people not misunderstand about what your product or data can do?

We aren’t a workflow tool. We don’t read or extract content. We don’t look up databases.

Large language models are commoditising all of those capabilities if people are interested in that.  

What LLMs can’t do is in-depth forensic analysis. And we are by the far the most effective document fraud detection solution on the market.

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We’re not a silver bullet, and we don’t claim to solve every onboarding or fraud challenge.

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Just like our solution is built on independent but connected layers, we encourage our customers to take the same approach: no system catches everything in isolation. That’s why we focus on layered detection, combining multiple signals to assess risk, and why we work best as part of a broader fraud defence strategy.

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What has your experience been like working with Detected so far?

Working with Detected has been a blast. From day one, it was clear we share a common mindset: finding simple, effective solutions, even if there’s complexity behind the scenes, while keeping things seamless for customers.

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The Detected team brings deep KYB expertise and is highly collaborative, whether it’s exploring technical integrations or aligning on customer needs.

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From the first conversations and proof of concepts, there was a real symbiosis in how we think and build. It felt like a true partnership from the start.

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What excites you most about the future of this partnership?

We’re living in exciting but also challenging times. The opportunity to offer a complete KYB solution that combines seamless onboarding with deep document fraud detection is more relevant than ever.

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What excites me most is the potential for shared insights across platforms, tighter integrations, and building a product ecosystem that makes fraud prevention effortless for customers who are in the spotlight, helping them deliver a seamless experience for good users, stop bad actors, and stay compliant with regulatory requirements.

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This partnership has the potential to redefine what secure, scalable onboarding looks like, and we’re just getting started.

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Final thoughts: Is there anything else you’d like to share with our audience?

Fraud is evolving fast, and so should our defences. Whether you’re looking to improve your onboarding workflows, reduce manual review, or understand how exposed your business might be to template farms and organised fraud, we’d love to have that conversation.

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Feel free to reach out, whether it’s to explore ideas, swap insights, or see how we can help strengthen your defences. We’re always happy to talk about fraud, documents, and how to make your systems more resilient.

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