Sigma360 has launched Entity Summary, a generative AI-powered feature designed to transform financial crime compliance by automating case summarization. Announced on August 14, 2025, this enhancement leverages Large Language Models (LLMs) to consolidate risk data from multiple sources into comprehensive, standardized profiles in seconds, saving compliance teams significant time and effort.
Sigma360 introduces Entity Summary, a GenAI feature for financial crime compliance.
Uses LLMs to create unified risk profiles from global KYC, watchlists, and media data.
Saves over a million hours at scale by automating due diligence and reporting.
Offers accelerated workflows, standardized outputs, and reduced reporting errors.
Available as an add-on to Sigma360’s flagship screening platform.
Reinforces Sigma360’s leadership in AI-driven risk screening solutions.
Entity Summary addresses the challenge of manually processing vast amounts of risk data for due diligence reports. By integrating global KYC data, direct and indirect risk indicators, watchlist information, corporate registry details, proprietary research, and aggregated adverse media intelligence, the feature creates a clear, structured risk profile instantly. “Entity Summary helps me tremendously. It gives me a snapshot of what an entity’s risk situation and associations are,” said Luis García, Managing Partner at a major international law firm. “Before this, I was doing my own summarization, but now the tool saves me significant amounts of time.”
The Entity Summary feature delivers measurable advantages:
Accelerated Due Diligence: Provides instant access to holistic entity summaries, eliminating the need for time-intensive manual investigations across multiple systems.
Automated Case Reporting: Generates ready-to-use report content, streamlining the creation of professional due diligence reports.
Greater Consistency: Produces standardized outputs in a concise format, reducing errors and minimizing proofreading time.
These capabilities enable compliance teams to focus on high-priority tasks, enhancing efficiency and accuracy in risk management workflows.
Offered as an add-on to Sigma360’s flagship screening platform, Entity Summary integrates seamlessly into existing compliance workflows. The feature leverages the platform’s thousands of fully integrated data sources and proprietary entity resolution, risk extraction, and scoring algorithms to deliver comprehensive risk coverage at sub-second speeds. This integration ensures that users can generate summaries on-demand without disrupting established processes.
Sigma360’s Entity Summary builds on the company’s ongoing investment in generative AI, reinforcing its position as a leader in intelligent risk screening and monitoring. By combining out-of-the-box screening software with world-class data and on-demand GenAI summarization, the feature sets a new benchmark for financial compliance solutions. Early adopters have reported faster workflows and improved visibility into complex risk profiles, demonstrating the platform’s ability to deliver tangible results.
Sigma360’s Entity Summary empowers financial institutions, asset managers, fintechs, and global corporations to streamline compliance operations and manage risk more effectively. As AI continues to reshape financial crime compliance, Sigma360 remains at the forefront, delivering innovative, scalable solutions that drive efficiency and accuracy.
Sigma360's cloud-based data platform has emerged as the definitive choice for point-in-time risk screening and perpetual client monitoring. Underpinned by thousands of fully integrated and hosted data sources and proprietary entity resolution, risk extraction and scoring algorithms, the platform can identify and return direct and network-based entity risk at sub-second speeds. Sigma360's solutions are used by financial institutions, asset managers, professional services firms, fintechs and global corporations seeking to consolidate operations into a singular risk intelligence platform and more efficiently manage the entire client lifecycle.