Research and analysis for the people fighting financial crime.

Clearing Alert Backlogs

Accurate Triage and Batch Processing for Risk-Based Backlog Remediation

You’re Doing Adverse Media Screening. Is It Working?

Adverse media screening doesn’t need to be just a primitive comparison of names against curated watchlists, or a limitless open source search full of diversions and distractions.

Fake News Is Real. How Can Adverse Media Screening Solutions Address It?

AI can be used to automatically exclude questionable content from risk assessments without throwing the baby out with the bathwater

Adverse Media Screening

AI technology has the potential to transform adverse media screening. Critical money laundering-related information on a financial institution’s clients may be found in media sources. However, traditional technology…

Top 6 Risks Facing Financial Institutions in 2025 — And How to Prepare

We help financial institutions manage challenges with AI-driven risk intelligence. Here are our six key takeaways from the report, along with insights on how financial institutions can prepare.

What Banks Are Missing in the Fight Against Trafficking

AI can help spot suspicious transaction patterns, but technology alone isn’t enough. Institutions must collaborate with law enforcement, policymakers, and experts who understand how trafficking actually works.

KYC is Evolving (and so Should You): Embracing AI and Machine Learning for Enhanced Compliance

Technological advancements, particularly in Artificial Intelligence (AI) and Machine Learning (ML), are paving the way for more robust and efficient KYC processes.

Sanctions Screening in 2025: Why AI Is No Longer Optional

Quantifind helps institutions modernize their sanctions programs with AI-powered solutions that reduce false positives and expose hidden risks.

Tariff Evasion: The Overlooked Financial Crime Risk Poised to Explode

Quantifind helps institutions modernize their sanctions programs with AI-powered solutions that reduce false positives and expose hidden risks.

GraphyteQueue

This overview explains how GraphyteQueue consolidates related events, resolves entities into a single case, and generates clear summaries of risk findings.

Due Diligence, Done Differently

Quantifind partnered with the Defense Innovation Unit (DIU) to build a vetting solution that matches the scale, speed, and complexity of the mission.

Public Sector Capability Statement

Quantifind uncovers hidden signals of risk associated with people and organizations from billions of open-source data points to help analysts increase the speed, accuracy, and coverage of their investigations.

University Donor Vetting

Quantifind uncovers hidden signals of risk associated with people and organizations from billions of open-source data points to help analysts increase the speed, accuracy, and coverage of their investigations.

Travel Rule Compliance

Quantifind Risk Intelligence solutions help identify potential breaches of the travel rule while optimizing for speed and scalability.

Know Your Customer (KYC)

Quantifind's AI-driven KYC solution elevates customer due diligence with continuous monitoring, real-time risk intelligence, and explainable AI.

Sanctions Compliance

Quantifind's sanctions compliance solution is built with advanced Name Science™, AI-native Entity Resolution, and multilingual transliteration.

Transaction Screening

Quantifind's sanctions compliance solution is built with advanced Name Science™, AI-native Entity Resolution, and multilingual transliteration.

Transaction Intelligence

Quantifind’s Transaction Intelligence enhances your existing transaction monitoring systems with real-time risk signals and AI-native entity resolution.

Investigations

Quantifind’s AI-powered Investigations solution transforms financial crime reviews with instant insight and consistent, explainable results.

Quantifind Agentic Execution

Quantifind Agentic Execution converts manual risk operations into governed, policy-aligned automation embedded directly within the Graphyte platform.

AI-Native Risk Intelligence Platform

Make Faster, More Accurate Financial Crime Decisions at Scale — with Confidence and Trust

Agentic Middleware

Quantifind's Agentic Middleware layer transforms fragmented information into trusted, explainable intelligence for agents and analysts.

Modernizing Diligence Workflows for Scale

AI, Vendor Risk, and National Security: Findings from Quantifind’s Stakeholder Advisory Board

Responsible AI Guidelines in Practice

As part of its mission to accelerate adoption of commercial technology within the Department of Defense (DoD), the Defense Innovation Unit (DIU) launched a strategic initiative in March 2020 to integrate the DoD’s Ethical Principles for Artificial Intelligence (AI) into its commercial prototyping and acquisition programs.

Quantifind Named in Top100 FinTech Companies Globally for 2023

FinTech Global named Quantifind to its 2023 AIFINTECH100, an annual list of the world’s most innovative companies developing AI technologies for financial services.

Sanctions Convergence Summary Report

This report summarizes our Convergence event takeaways: from detection gaps and regulatory expectations to the role of AI and cross-industry collaboration.

Crypto Convergence Summary Report

This report summarizes the key takeaways from our recent Convergence event that focuses on ways to detect and disrupt crypto-related risks.

Perpetual KYC (pKYC) Convergence Summary Report

This report summarizes the key takeaways from our recent Convergence event that explored the promise and pitfalls of pKYC.

Child Sexual Exploitation and Abuse (CSEA) Convergence Summary Report

This report summarizes the key takeaways from our recent Convergence event that explored ways to detect and disrupt child sexual exploitation and abuse.

Celent Solution Brief: Quantifying the Impact of AI-Driven Financial Crime Compliance

Quantifind’s AI-powered Investigations solution transforms financial crime reviews with instant insight and consistent, explainable results.

2026 Quantifind Customer Advisory Board: Summary Report

This downloadable report summarizes the key insights and themes from the 2026 Quantifind Customer Advisory Board.

An Introduction to Name Science and Its Role in Fighting Financial Crimes

In China, roughly 2.8 million people share the name “Wang Yan.” This whitepaper explains how name science, from culturally aware name parsing to name rarity modeling, powers the accurate entity resolution banks need to automate AML screening.

Practical AI Language Models in Risk and Compliance

Off-the-shelf chatbots can’t triage alerts or keep a compliance program within FinCEN rules, but the techniques inside large language models can. This whitepaper explains how domain-trained word embeddings and attention mechanisms improve AML and KYC risk detection and keep innocent bystanders out of alert queues.

Precision LLMs in Risk Assessment, from Anti-Money Laundering to Vendor Vetting

Not every risk workflow needs a large language model, and putting one in the wrong place can create more problems than it solves. This whitepaper presents a framework for deciding where LLMs add real value in AML, KYC and vendor vetting. It also walks through a focused use case that achieved more than 90% accuracy on people entities.

Defending Defense: Automated Risk Screening of the US Defense Industrial Base

Quantifind screened more than 2 million entities from public U.S. government vendor databases and found dozens of sanctions hits, hidden foreign influence and widespread fraud signals. This whitepaper details the methodology and findings, and explains why the Defense Industrial Base needs continuous, automated risk screening.

A Collective Defense Against Adversarial Capital

FOCI threats reach the U.S. Defense Industrial Base through ownership, investment and partnerships that are often hidden several layers deep. This whitepaper from the Convergence Working Group recommends standards and policies for defining, automating and incentivizing FOCI screening across government, finance and industry.

Vendor Vetting Recommendations: Intelligence Sharing to Expose Adversarial Capital

Federal vendor vetting teams often investigate the same companies without knowing it. This paper from the Convergence Working Group lays out six recommendations for sharing contacts, facts and findings across agencies. Together they expose adversarial capital while letting each mission make its own risk decisions.

Monitoring Transactions is a Dead End

This whitepaper is designed for AML and KYC risk management professionals seeking to tackle increasing digital payments and effectively combat financial crimes in a rapidly evolving landscape.

Convergence Focus Group: Illegal, Unreported, and Unregulated (IUU) Fishing and Banks

This white paper builds on the discussion and summarizes the recent IUU focus group discussion, addressing the challenge of disrupting the financial networks of illegal fishing perpetrators and presenting actionable recommendations derived from the collaborative dialogue.

Why Buy Beats Build: A Guide for Crypto Compliance Teams

This guide outlines why purchasing Quantifind’s solution delivers faster, more accurate, and more defensible compliance outcomes.

The Compliance Crossroads: API-Driven Cloud vs. On-Prem

The guide contrasts on-prem systems with API-driven cloud platforms, highlighting the cloud’s superior security, scalability, and compliance.

The Buyer’s Guide to Modern Sanctions Screening

Explore eight essential capabilities for evaluating AI-native sanctions screening software and making faster, more defensible risk decisions.

AI-Powered Entity Resolution: Keeping Pace with Enterprise Scale

In sanctions screening, fuzzy matching can push false positive rates above 90%. This whitepaper explains why legacy entity resolution breaks on messy, multilingual data. It also shows how explainable AI models resolve people and organizations with precision across structured and unstructured records.

How Quantifind & DIU Are Automating FOCI Vendor Risk Screening

The Defense Counterintelligence and Security Agency has faced as many as 100,000 entities to vet at its peak. This whitepaper explains how AI-enabled diligence exposes hidden foreign ownership, control and influence across the defense supply chain. It also shows how continuous screening keeps analysts in control of every risk determination.