Fraud & Security Companies in Europe

Feedzai is a fraud detection and financial crime prevention platform that works behind the scenes for banks, payment processors, and fintech companies across Europe and beyond. The company uses machine learning to spot suspicious transactions in real time, flagging fraud before it costs institutions millions while keeping legitimate customers from being blocked unnecessarily. Unlike legacy fraud systems that rely on rigid rules and lag behind new attack patterns, Feedzai's approach adapts continuously, learning from emerging threats across its network of financial institutions. The platform handles everything from card fraud and money laundering to synthetic identity schemes and account takeover attempts. It's become a critical layer of defense for institutions managing enormous transaction volumes, where manual review is impossible and false positives destroy customer experience. In the European market, Feedzai competes alongside more traditional risk vendors but stands out through its speed and sophistication. Banks increasingly rely on AI-driven systems rather than rule-based gatekeepers, and Feedzai has positioned itself as the intelligent alternative that doesn't just block transactions—it understands behavior. The company serves everyone from global systemically important banks to smaller regional players, offering both real-time decisioning and historical analytics. Feedzai represents a broader shift in how financial institutions approach security: from reactive policing to predictive intelligence.

Hawk brings machine learning firepower to financial crime detection, sitting at the intersection of compliance and computational intelligence. Rather than relying on static rule sets that miss novel fraud patterns, Hawk deploys adaptive algorithms that learn from transaction behavior in real time, catching what traditional systems let slip through the cracks. The platform ingests transaction data across multiple channels—payments, transfers, accounts—and surfaces suspicious activity before it becomes a problem. For banks and fintechs drowning in false positives from legacy systems, Hawk promises a different approach: smarter, faster, less noise. Its technology sits on the boundary between compliance necessity and operational efficiency, helping institutions detect actual threats rather than gaming alert thresholds. In an environment where financial crime is increasingly sophisticated and regulatory pressure unrelenting, Hawk positions itself as the thinking alternative to checkbox compliance, offering institutions a genuine competitive edge in the race to stay ahead of bad actors.

Evervault is a European cryptography company that lets developers encrypt sensitive data in transit and at rest without rearchitecting their systems. Rather than forcing teams to build custom encryption pipelines or rely on legacy HSM infrastructure, Evervault provides APIs and SDKs that integrate directly into applications—turning what was once a compliance headache into a developer experience problem. The company operates at the infrastructure layer, sitting between your database and your users. It handles encryption orchestration, tokenization, and secure computation without requiring you to manage keys or understand the underlying cryptography. This means your data stays encrypted in your own cloud account, your keys stay with you, and third-party vendors never see plaintext information. In a European market where data residency and privacy regulations have teeth, Evervault solves a real problem: companies need to protect customer data but can't afford to rebuild their entire tech stack. The platform works with existing databases, APIs, and infrastructure, making compliance less of an engineering ordeal. Evervault positions itself as the encryption layer for modern applications—not a database replacement, not a VPN, but the plumbing that makes data protection feel native to your code. It's particularly relevant for fintech companies handling payment cards, personal identifiers, and healthcare records across distributed systems. The company is helping reshape how European companies think about security: not as an afterthought, but as architecture.

Ravelin is a fraud prevention and risk intelligence platform built for the modern payment landscape. Rather than relying on outdated blacklists and rule engines, the company uses behavioral analytics and machine learning to distinguish legitimate transactions from fraudulent ones in real time. The platform sits between merchants and payment processors, analyzing transaction patterns, user behavior, and contextual signals to catch fraud before it hits the books. Ravelin's approach acknowledges a fundamental tension in fintech: overly aggressive fraud screening kills conversions, while loose controls breed chargebacks. The company's API-first architecture means it integrates directly into checkout flows without requiring merchants to rebuild their payments infrastructure. What sets Ravelin apart is its focus on the nuance between fraud risk and business risk. Many competitors offer binary accept-or-decline decisions; Ravelin surfaces risk scores and behavioral indicators, letting merchants make informed decisions about which transactions to challenge, approve, or send to manual review. This flexibility matters especially for high-value or unusual transactions where false positives hurt revenue. Ravelin operates primarily in the B2B space, serving mid-market and enterprise merchants across e-commerce, travel, and fintech. The company competes in a crowded fraud detection market dominated by established players, but gains ground through superior machine learning models and a merchant-centric product philosophy. As payment volumes continue to surge across Europe and digital fraud becomes increasingly sophisticated, Ravelin's technology sits at a critical chokepoint in the transaction flow.

Charles Delingpole had already built two companies before this one — The Student Room, the UK's largest student community, started when he was sixteen, and MarketInvoice, the invoice finance platform he co-founded after Cambridge. It was at MarketInvoice that he met the problem that became ComplyAdvantage: every regulated financial business is legally required to screen its customers against sanctions lists, politically exposed persons registers, and adverse media — and the databases everyone relied on for this were built by armies of analysts manually copying names into lists. The data was stale, the false-positive rates were punishing, and compliance teams spent their days clearing alerts on people who shared a name with someone on a watchlist. In 2014 he founded ComplyAdvantage in London on a simple inversion: instead of selling software that queries someone else's manually curated lists, build the risk database itself — with machine learning, from primary sources, updating in real time. That database is the product. ComplyAdvantage continuously processes millions of structured and unstructured data points a day — sanctions updates, regulatory notices, court records, news in dozens of languages — into risk profiles on more than 150 million entities, surfacing tens of thousands of new risk events daily. On top of the data layer sit the tools regulated firms actually deploy: customer screening at onboarding, ongoing monitoring as risk profiles change, payment and transaction screening, and — since 2023 — a fraud detection product that extends the platform from "who is this customer" to "what is this customer doing." The strategic position is precise: this is the data layer of financial crime compliance, sold as an API, competing directly with Dow Jones Risk & Compliance, LSEG's World-Check, and LexisNexis — incumbents whose core asset is exactly the manual process ComplyAdvantage was built to obsolete. The customer base is over 500 enterprises across 75 countries, weighted toward the businesses that grew up alongside it: fintechs, payment companies, crypto platforms, and digital banks that needed compliance infrastructure as programmable as the rest of their stack. Named clients have included Gemini and TransferMate, with partnerships spanning blockchain analytics (Elliptic) and Banking-as-a-Service (Raisin Bank). The company was selected as a World Economic Forum Technology Pioneer, employs around 480 people, and has raised over $150 million from Balderton Capital, Index Ventures, Ontario Teachers' Pension Plan, and Goldman Sachs. In December 2023 it acquired Golden, the a16z-backed knowledge-graph startup, folding structured entity data and its engineering team into the core database. Leadership formalised the company's second act in early 2023: Delingpole moved to executive chairman and Vatsa Narasimha — previously CEO of the trading platform OANDA, and ComplyAdvantage's COO through its scaling years — took over as chief executive. The regulatory backdrop since has run entirely in the company's favour. AMLD6 and the EU's new AML Authority raise screening and monitoring obligations across the continent from 2027, and every expansion of the compliance perimeter — crypto under MiCA, instant payments with sanctions screening at ten-second settlement speeds — enlarges the addressable market for exactly what ComplyAdvantage sells. The honest read is about the market's direction. Financial crime and identity infrastructure is consolidating fast — Featurespace went to Visa, Fourthline is merging with Veridas, World-Check sits inside LSEG — which leaves ComplyAdvantage as one of the few independent, at-scale data players left standing. That independence is a genuine selling point for customers wary of buying compliance data from a card network or an exchange group, and it simultaneously makes the company one of the most obvious acquisition targets in European regtech. The other open question is the arms race it chose: the same generative AI that makes screening sharper is making the launderers' synthetic identities and shell structures cheaper to produce. ComplyAdvantage's bet since 2014 has been that the detection side compounds faster. So far, the market has agreed.

Fraud prevention and digital identity verification have become the unglamorous but critical backbone of modern fintech. Callsign approaches this from an angle most security vendors miss: behavioral biometrics and real-time risk assessment that happen silently in the background, rather than tripping up legitimate users with friction-heavy verification steps. The London-based company combines device intelligence, behavioral patterns, and contextual analysis to spot fraudsters and authenticate users without making them jump through hoops. Where traditional identity verification often feels like airport security—exhausting and necessary—Callsign's approach is more like a doorman who knows your face. It's built for financial services, payments processors, and regulated platforms that need to balance security with user experience. The company works across account opening, transaction authentication, and ongoing monitoring, meaning it can catch both the obvious fraud attempts and the sophisticated ones that look almost legitimate. In a landscape crowded with point solutions, Callsign stands out by offering something closer to continuous, intelligent risk assessment than binary yes-or-no identity checks. For European fintechs growing fast and handling real money, this kind of frictionless security is no longer a nice-to-have—it's becoming the baseline expectation.