​Sumsub Unveils AI-Powered Trust Infrastructure for Compliance and Fraud Prevention

Sumsub, a verification and fraud prevention platform, announced its transformation into the first AI-Powered Trust Infrastructure, designed to help over 4,000 global clients expand into new jurisdictions while streamlining risk assessment, fraud detection, and compliance. The new infrastructure moves beyond traditional onboarding tools to create an integrated system that continuously orchestrates verification, AML compliance, and risk evaluation through a unified AI layer.

After 11 years of operation and a documented 272% ROI over three years, Sumsub identified a common industry challenge: compliance operations have become fragmented across multiple vendors, disconnected data sources, and isolated workflows, leading to inefficiency, duplicated checks, inconsistent risk decisions, and rising costs. Without a comprehensive infrastructure, firms typically rely on five to nine separate tools for identity, fraud, and compliance management, and may require up to six months to launch compliant operations in a new market.

Sumsub’s AI-Powered Trust Infrastructure consolidates identity data, AML screening, fraud signals, risk profiles, case management, AI-assisted tools, and compliance reporting, enabling firms to reduce errors and embed trust into every transaction while providing regulators with a full view of decisions and reports.

“Trust has changed significantly. Businesses can no longer verify customers only at the point of onboarding. Instead, they need to continuously understand risk throughout every interaction,” said Peter Sever, co-founder and Chief Strategy Officer at Sumsub. “AI has enabled a new way of operating. The companies embracing this new reality grow faster, reduce fraud losses, avoid heavy compliance fines and operate far more efficiently than those stitching together disconnected point solutions. At Sumsub, we ensure that businesses move from fragmented processes to a unified trust infrastructure that supports long-term growth, reduces complexity, and improves decision-making.”