Sumsub Crowned Category Leader in Chartis 2026 Enterprise Fraud Solutions — the London‑based verification and anti‑fraud platform has secured top placement in the Chartis RiskTech Quadrant® for Enterprise Fraud Solutions, a report that benchmarks vendors on technology breadth, market traction and real‑world impact.
The latest Chartis research places Sumsub alongside a handful of global players that can protect large, multi‑channel enterprises from increasingly sophisticated fraud attacks. The recognition follows a three‑year streak of accolades, including Category Leader status in 2024 and a win in the Chartis Financial Crime and Compliance 50 in 2025.
What the Chartis Recognition Means
Chartis’ Quadrant evaluates vendors on two axes: completeness of offering and market presence. Sumsub’s elevation to Category Leader signals that analysts view its platform as both technologically comprehensive and widely adopted across high‑risk sectors such as Fintech sector, e‑commerce and travel. The firm’s “identity‑centric” approach—marrying identity verification data with real‑time fraud signals—was highlighted as a differentiator that addresses the “AI‑driven, multi‑step attacks” that have risen 180 % between 2024 and 2025, according to the company’s own research.
Inside Sumsub’s Fraud Prevention Stack
At the core of Sumsub’s solution is an AI powered engine that fuses anomaly detection, device intelligence and behavioral analytics. The system ingests billions of data points per day, applies proprietary machine learning models to spot deviations, and surfaces a risk score within milliseconds. A built‑in case‑management layer lets investigators triage alerts, enrich them with external watch‑lists and automate remediation workflows.
The platform also offers a developer‑friendly API and pre‑packaged SDKs for web, mobile and server environments, allowing enterprises to embed verification flows without extensive custom code. Complementary education through the Sumsub Academy—most recently a Fraud Prevention course—helps security teams translate raw signals into actionable policies.
Implications for Enterprise Marketing Teams
Marketing departments are increasingly responsible for the first line of defense against fraud, especially in acquisition funnels where synthetic identities and credential stuffing can inflate CAC and erode brand trust. Sumsub’s real‑time risk scoring can be embedded directly into signup forms, allowing digital acquisition funnel to block fraudulent traffic before it reaches downstream analytics. The platform’s granular reporting also feeds into attribution models, helping teams differentiate genuine conversion lift from fraud‑driven noise.
For global brands that operate across multiple jurisdictions, Sumsub’s compliance‑ready verification (including KYC, AML and GDPR modules) reduces the overhead of maintaining separate regional solutions. The result is a tighter alignment between growth initiatives and risk controls—a balance that IDC forecasts will become a competitive advantage for the “AI‑first” enterprises that dominate the market in 2027.
Marketing teams become front‑line defenders, embedding Sumsub’s risk engine into sign‑up flows to protect CAC and preserve brand integrity.
Looking Ahead
The Chartis endorsement comes at a moment when the fraud‑prevention market is projected to surpass $12 billion by 2027, according to IDC. As AI models become more adept at mimicking human behavior, the industry will likely shift toward hybrid approaches that combine deterministic rule sets with probabilistic machine‑learning scores—exactly the blend Sumsub promotes.
For enterprises already invested in cloud AI platforms from Google, Amazon or Microsoft, Sumsub’s API can be orchestrated alongside native services like Google Vertex AI or AWS SageMaker, creating a seamless stack that spans data ingestion, model inference and automated remediation.
Market Landscape
The enterprise fraud‑prevention sector is undergoing rapid consolidation, driven by regulatory pressure (e.g., EU’s Digital Services Act) and the rising cost of breach remediation. Analysts at Forrester note that “organizations that integrate identity verification with real‑time fraud detection see a 30 % reduction in false positives and a 25 % faster investigation cycle.”
Large language models (LLMs) are beginning to augment fraud analysts by summarizing case files and suggesting next‑step actions, but the core signal‑processing layer remains the domain of specialized platforms. Sumsub’s recent expansion of its behavior‑monitoring library positions it to leverage LLM‑generated insights without sacrificing the low‑latency requirements of high‑volume transaction streams.
Top Insights
- Unified stack wins – Sumsub’s combination of identity verification and AI‑driven fraud detection earned it Category Leader status, underscoring market demand for single‑pane‑of‑glass solutions.
- AI‑driven attacks are up 180 % – The surge in multi‑step, AI‑generated fraud attempts makes real‑time risk scoring a critical defense for any digital acquisition funnel.
- Marketing teams become front‑line defenders – Embedding Sumsub’s risk engine into sign‑up flows helps marketers protect CAC and preserve brand integrity.
- Competitive edge lies in developer experience – Easy‑to‑integrate APIs and robust SDKs differentiate Sumsub from legacy vendors burdened by complex on‑prem installations.
- Future growth tied to hybrid AI models – Industry forecasts point to a blend of rule‑based and probabilistic AI approaches, a niche Sumsub is already occupying.
