.jpg)
Enterprises face a critical blind spot: identity and risk signals are often trapped in siloed systems, obscuring patterns of fraud and abuse. Socure addresses this with the launch of Local Graph, a major new capability within its RiskOS platform. Local Graph connects identity elements and their activities across an organization's entire ecosystem into a single, time-aware framework, providing fraud teams with a 360-degree view of identity behavior and risk.
Socure launches Local Graph, a new capability within its RiskOS identity platform.
It connects identity elements (devices, emails, IPs) and activities across an enterprise's systems.
The tool provides a time-aware, 360-degree view to detect complex, multi-account fraud patterns.
It aims to reduce false positives, speed up investigations, and eliminate internal data silos.
New supporting features include Persistent Profiles and Connected Rule Writing.
Early adopters have reduced multi-hour investigations to minutes and uncovered hidden fraud.
For fraud and risk teams, understanding how an identity behaves across different touchpoints—from account opening to transactions and disputes—has been a persistent challenge due to fragmented data. Local Graph solves this by creating a connected view that shows how individual identity elements relate over time. This allows organizations to see not just how an identity appears today, but how it has behaved historically, unveiling patterns that point-in-time data alone would miss.
The launch is supported by two new features designed to turn connected intelligence into immediate action. Persistent Profiles create a dynamic, always-on view of how any identity element interacts with the organization over its lifetime. Connected Rule Writing enables teams to build automated decisioning rules using historical activity and relationships, not just instantaneous data. Together, these capabilities allow teams to detect risk patterns earlier and respond faster.
The business outcomes focus on efficiency and precision. By providing a complete historical context, Local Graph helps organizations surface enterprise-specific fraud patterns like promo abuse or coordinated cross-channel attacks much sooner. It also dramatically reduces investigation time—from hours to minutes—and helps reduce false positives by providing a more complete picture of trusted user behavior, thereby removing unnecessary friction.
Local Graph represents a foundational shift from viewing identity as a series of disconnected checks to understanding it as a continuously learning system. As the first layer in Socure's multi-tiered graph strategy, it positions RiskOS as an AI-native intelligence platform that helps enterprises achieve identity certainty, adapt to evolving threats faster, and build trust across every customer interaction by eliminating internal blind spots.
About Socure
Socure is the leading platform for digital identity verification, compliance and fraud prevention solutions, trusted by the largest enterprises and government agencies to build trust and mitigate risk. Leveraging AI and machine learning, Socure’s industry-leading platform achieves the highest accuracy, automation, and capture rates in the industry.
Serving more than 3,000 customers and 190+ countries across financial services, government, gaming, healthcare, telecom, and e-commerce, Socure’s customer base includes 18 of the top 20 banks, four of the Mag 7, the largest HR payroll and workforce providers, the largest sportsbook and prediction market operators, 74 organizations across the public sector, and more than 600 fintechs.
TechIntelPro empowers B2B technology decision-makers with the latest industry trends, deep insights, leadership perspectives and actionable intelligence to drive both organizational and professional milestones—and thrive on the tech pulse.