Fraud Prevention Startups funded by Y Combinator (YC) 2026

We are building a safer supply chain. Cargo Theft has been increasing yearly, and the supply chain industry is urgently looking for ways to solve this. Using experience fighting fraud at the largest delivery marketplaces and logistics tech companies, we are building solutions to stop Cargo Theft and improve profit margins and revenue for warehouses and freight brokers.

We help fintech risk and AML compliance teams automate and strengthen routine customer due diligence tasks with LLMs. Our AI assistants slash cost-to-comply, improve risk detection and free up capacity for investigations that require human expertise and decision making. Fintechs and banks use us to automate workflows like running thorough due diligence on a legal entity, reviewing customer documents like registry extracts, proofs of address etc and remediating false positive alerts from their AML systems.

Overwatch Data offers real-time AI agents to scale fraud, cyber, and security teams. Our agents automate the threat intelligence and brand protection workflow, while also conducting risk reviews at scale to detect fraud and financial crime.

Truora provides safe and reliable background checks and fraud prevention services for Latin America, through APIs and web service solutions. We operate in 6 countries (Mexico, Colombia, Peru, Costa Rica, Brazil and Chile) and are expanding rapidly. Our customers include Latam's top martketplaces (i.e. Didi, Rappi, Liftit), FinTech startups, large financial institutions and large HR firms as well. Our software allows for: background check verifications, continuous identity verification, digital identity solutions, OCR technologies and document authentication, KYC solutions and biometric validations. Our team is composed of 4 founders with expertise in the security and fraud prevention, as well as 60+ expert software engineers. We have offices across Latam, with our tech teams based in Colombia.

Veriff is a global AI-native identity platform that helps organizations build trust online. Leading companies across financial services, marketplaces, mobility, gig economy, and other digital sectors rely on Veriff's technology to stay compliant, prevent fraud, protect users, and scale globally. Veriff's trust infrastructure supports the full customer journey, from verification to ongoing authentication and fraud prevention, with the least friction for honest people. With 600+ people in the US, UK, Brazil, Spain, and Estonia, Veriff helps businesses expand across borders without the complexity of managing identity verification, compliance, and fraud in multiple markets – creating a single source of truth for trusted identities. Backed by investors including Accel, Alkeon, IVP, Tiger Capital, and Y Combinator, Veriff is dedicated to helping businesses and individuals build a safer, more secure world.

Cyberfend offers a robust security solution to protect your web and mobile applications from sophisticated attacks and fraudulent activity. Cyberfend's solution detects account take-over, payment fraud and the use of stolen credentials. All of these problems are relevant to every consumer facing web and mobile product/service. Cyberfend’s solution uses a new security paradigm – human cognitive science coupled with advanced machine learning. The result is a robust detection system with near zero false positives and false negatives. Today Cyberfend protects nearly a billion login and payment transactions every month for many large e-commerce, web and payment customers. Cyberfend's product is at the intersection of almost every single cutting edge technology today : a) Our core product employs heavy machine learning b) On the backed, our product is cloud based and deals with enormous scale (customers are directing significant portions of their traffic to us) c) On the front end we need to deal with both web and mobile (IOS, SDK) challenges.Please visit us at: www.cyberfend.com. Cyberfend is backed by Y Combinator, SV Angel and A Capital. Cyberfend was acquired by Akamai Technologies in December 2016.