Leverage AI in your fintech fraud, risk, operations, and compliance teams – without replacing your existing systems. As a fintech or traditional finance company, you can now automate fraud checks in document-heavy KYC workflows at onboarding, augment your rules-based AML transaction monitoring systems for greater investigatory productivity, and uncover organized financial crime rings by shining light on overlapping patterns of behavior and identity. Here's some of what you can do with Resistant AI: - Automate customer approvals and improve onboarding experience by validating account statements, utility bills, certificates of incorporation, and other KYC documents in PDF or image formats at scale. Stop stolen documents and mass produced forgeries from template farms that can’t be caught by the human eye. - Speed up AML investigations by prioritizing your transaction monitoring alerts backlog and uncovering risks your rules are missing with dynamic behavioral and identity-based segmentations. - Create perpetual KYC by incorporating multiple data sources to build up a 360° picture of your customers' normal behaviors over time and stop advanced risks like APP fraud, synthetic money mules, organized fraud rings, and more. Turn compliance into a competitive advantage by deploying adaptive risk-based policies across different markets and business lines to accelerate growth. 15+ years of experience applying AI in computer security. 100+ patents. 50+ customers, including Payoneer, Habito, Planet42, and ComplyAdvantage. 4M+ documents analyzed every month. Digital Crime Fighter of the Year. Winner of ACAMS'PwC Hackathon. Backed by GV, Index Ventures, Credo Ventures, Seedcamp, and more.
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Software Development • 241 employees • London, United Kingdom
Who is the CEO of Resistant AI?
Martin Rehak is the CEO of Resistant AI.
Who are the decision makers in Resistant AI?
The decision makers in Resistant AI are Martin Rehak, Jan De Waard, Martin Grill, etc. Click to Find Resistant AI decision makers emails.
What types of fraud does Resistant AI help to prevent?
Resistant AI specializes in preventing various types of financial fraud, including application fraud, transaction fraud, and identity theft. By leveraging advanced machine learning algorithms and artificial intelligence, our solutions can detect suspicious patterns and behaviors in real-time, helping fintech and traditional finance companies mitigate risks associated with financial crime.
How does Resistant AI integrate with existing systems?
Resistant AI is designed to seamlessly integrate with your existing systems, allowing you to enhance your fraud detection and risk management processes without the need for a complete overhaul. Our solutions can be implemented alongside your current infrastructure, ensuring a smooth transition and minimal disruption to your operations.
What industries can benefit from Resistant AI's solutions?
While Resistant AI primarily focuses on the fintech sector, our solutions are applicable across various industries that require robust fraud prevention and compliance measures. This includes banking, insurance, e-commerce, and any organization dealing with financial transactions or sensitive customer data. Our technology is adaptable to meet the unique needs of different sectors.
Can Resistant AI help with compliance requirements like AML and KYC?
Yes, Resistant AI offers solutions that support compliance with Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations. Our AI-driven tools automate the verification processes, enabling organizations to efficiently monitor transactions and customer identities while ensuring compliance with regulatory standards.
What is real-time identity forensics, and how does it work?
Real-time identity forensics is a feature of Resistant AI's solutions that analyzes user behavior and transaction patterns to verify identities in real-time. By employing advanced machine learning techniques, our system can identify anomalies and flag potential fraud attempts, allowing organizations to take immediate action to prevent financial losses.
How does Resistant AI utilize machine learning in fraud detection?
Resistant AI employs machine learning algorithms to analyze vast amounts of transaction data and user behavior. By continuously learning from new data, our models can identify emerging fraud patterns and adapt to evolving threats. This proactive approach enhances the accuracy of fraud detection and reduces false positives, enabling teams to focus on genuine risks.