Giving your FinCrime Agents their Secret Intelligence.

Accelerating effective AI deployment across banking and fintech — training data, benchmarking, and agentic AI models purpose-built for Fraud and AML.

Representative Training Data

A comprehensive financial crimes representative training dataset — starting with fraud — purpose-built for financial services companies that need high-fidelity, privacy-safe data to train and fine-tune AI models at scale.

Frontier LLM Benchmarking

The industry's most rigorous benchmark of leading frontier LLMs on Fraud and AML tasks, evaluated against our expert-curated scenario library. Understand where the models fail and "stress test" your agents.

Turnkey Agentic AI Models

For organizations that don't want to build their own agentic AI architecture, we train and deliver purpose-built Fraud and AML models using our industry-leading representative dataset — fully integrated and ready to operate.

By submitting your details, you agree to our Privacy Policy.


Announcing FinCrimeBench™: the First Benchmark of LLM Performance in Fraud & AML

As financial services companies pivot toward a zero-trust posture, the downstream layer of Fraud and AML detection has become the ultimate control surface. But how reliable are today's leading AI models at holding this line? Cove Labs' benchmarking tested four frontier AI models against 110 expert-curated fraud scenarios with 342 individual LLM evaluations. The results are sobering — and essential reading for anyone in financial services piloting AI for fraud or compliance.

38%

Median failure rate

across all four frontier LLMs tested

100+

Scenarios tested

expert-curated fraud scenarios across 9 sub-threat categories

1 in 3

Wrong risk ratings

on a four-tier classification

The initial report from our FinCrimeBench™ research maps structural weaknesses in today's leading AI models — and provides a clear path for organizations moving from experimental pilots to defensive-grade reliability. You can request a summary, full report, and executive briefing by clicking below button or learn more details about our research at https://benchmark.covelabs.ai


Request Research

Note: If you have already requested our Phase 0 research, we will email you new FinCrimeBench updates

↓

How We Supercharge Agentic AI for Fraud & AML

Three integrated capabilities — purpose-built for financial services companies and the researchers building the next generation of financial crime AI.

FinCrime Representative Data

Production-grade representative fraud data — purpose-built for financial services, with zero PII exposure.

  • Covers a broad and expanding library of fraud typologies — including first-party fraud, synthetic identity, account takeover, mule networks, and payment fraud
  • Scenarios are expert-authored with locked acceptance criteria, authoritative source citations, and structured parameter tags for domain validity at scale
  • Designed for fine-tuning frontier LLMs and training purpose-built financial crime models at the domain and company-specific levels

FinCrime LLM Benchmarking

The industry's definitive benchmark for frontier LLM performance on fraud and AML tasks.

  • Evaluates leading frontier models — including GPT-4o, Claude, Gemini, and others — across a comprehensive set of expert-curated fraud and AML scenarios
  • Measures not just answer accuracy but reasoning fidelity, risk classification consistency, and failure mode patterns across threat typologies
  • Delivers a company-specific benchmarking and stress testing capability for providing defensible pre-deployment evidence, not vendor claims

Specialized Turnkey Models

Fully trained, domain-specific agentic AI models — delivered ready for deployment, no build required.

  • Models are trained and fine-tuned on our proprietary representative dataset, purpose-built for onboarding, fraud detection, AML transaction monitoring, and risk classification tasks
  • Delivered as a complete agentic AI architecture — including model, evaluation pipeline, and integration support — ready for deployment within your existing infrastructure
  • Designed for institutions that need defensible, auditable AI outputs aligned with regulatory expectations and internal governance standards

↓

Agentic Commerce

Securing the Era of Agentic Commerce

Our Training Data and Advisory Services cover not only Emerging Threats but also Emerging Opportunities such as Agentic Commerce

The rise of autonomous AI agents is shifting commerce from human clicks to agentic decisions. When agents shop, trade, and transact on behalf of humans, traditional Identity Verification (IDV) and Know Your Customer (KYC) frameworks break down. We are working with leaders in the industry to design and build the defense layers needed to authenticate autonomous agents, verify user intent, and neutralize malicious AI activity.

The Challenge: Many Questions Remain Unanswered

Enrollment and Setup

What identity verification and fraud screenings will be performed before an agent is set up and enrolled?

Authorization

What authorization controls need to be in place for agentic commerce?

What fraud controls and models need to be established across the agentic commerce ecosystem?

Disputes, Abuse & Returns

What controls need to be established to prevent disputes and returns?

Which party owns the liability across the agentic commerce ecosystem?

The Solution: Redefining Verification and Detection for AI Agents

Agent Biometrics & IDV

  • Beyond Human Interaction: Cryptographic and behavioral protocols to verify the identity and authorize the autonomous agent itself.
  • Intent Verification & Deception Detection: Real-time analysis to ensure the agent is accurately executing the human user's original intent.

Behavioral & Vulnerability Defense

  • Prompt Injection Shielding: Hardening systems against prompt injection attacks that target an agent's core logic.
  • Error & Hallucination Mitigation: Catching mistakes before they become irreversible transactions.
  • Dynamic Payment Protocols: Building new, secure payment architectures natively designed for autonomous, programmatic wallets.
Technology Focus

LLMs Trained for Financial Crime

While frontier LLMs can be extremely useful tools, Cove Labs' research has shown that LLM models do not have adequate training for financial crime. Cove Labs applies Supervised Fine-Tuning (SFT) and Reinforcement Learning (RL) to large language models — enabling them to detect, investigate, and explain complex financial crime typologies with far greater precision than traditional systems.



This methodology ensures models are not just accurate, but observable, explainable, auditable, and aligned with your environment and regulatory expectations.

↓

Our Expertise

Deep Financial Crimes Domain Knowledge

Our team brings an average of 15+ years of hands-on experience in financial crimes — spanning fraud, AML, sanctions, and regulatory compliance — across the full spectrum of financial institutions.

Banks & Credit Unions

Strategy and analytics for enterprise-scale fraud and AML programs at top-tier global banks and regional institutions

FinTechs & RegTechs

Fraud and compliance program design and enhanced detection for high-growth platforms

Wealth & Insurance

Risk and compliance frameworks and implementation for wealth management, insurance, and investment firms

↓

Get Involved

Let's Build the Future of Financial Crime Detection

We're engaging with frontier LLMs, banks, fintechs, regulators, and research partners who share our conviction that LLMs can fundamentally transform how financial crime is detected and investigated. Reach out to start the conversation.

Partnership Inquiries

Open to collaborations with financial institutions, data providers, and AI research teams

Stay Updated

Check back soon — we will continue to publish updates on our LLM research and benchmarking results

Hiring

Building a team of passionate Financial Crime experts and practitioners

↓

Leadership

Built by Industry Veterans

Our founding team includes former executives from some of the most recognized names in financial services and fraud technology — bringing operational credibility and deep institutional knowledge to every engagement.

Edward Aluise

Co-Founder, Former Bank of America Executive

Payments leadership roles across the Consumer & Small Business and Commercial & Corporate businesses; US and global responsibilities

Ram Krishnamurthy

Co-Founder, Former Data Science Executive at FICO

Credit card and payments modeling and machine learning at scale for fraud detection, as well as account opening and account takeover

Brian Hughes

Advisor, Former Executive at Discover & HSBC

Senior business and risk executive with experience owning Fraud & AML, including global risk strategy and sanctions compliance

↓

The Problem

Financial Crime Is a Trillion-Dollar Crisis

Legacy detection systems were not designed for modern, cross-border, multi-layered financial crimes - now exacerbated by bad actors leveraging AI tools. Rule-based engines generate overwhelming false positives, investigators are understaffed, and sophisticated typologies evolve faster than compliance teams can respond.

$500B

Annual Global Fraud Losses

Estimated annual losses from fraud across all financial sectors worldwide

$1–2T

Money Laundered Annually

Global estimate of illicit funds laundered through the financial system each year

Sources: Interpol 2026, TransUnion 2025, UNODC

↓


About CoveLabs.ai

Cove Labs bridges the gap between frontier AI and rigorous financial crime defense and compliance. Built by practitioners with deep operational expertise in financial services, fraud, and AML, we eliminate the cold-start problem and compliance risks that prevent institutions from deploying AI with confidence. We deliver three integrated capabilities: production-ready representative training data that removes PII exposure and data scarcity barriers; objective, empirical LLM performance benchmarks that give institutions defensible evidence before deployment; and specialized, turnkey agentic AI architectures purpose-built for Fraud and AML operations — so financial institutions can move from pilot to production without building from scratch.

© 2026 CoveLabs.ai LLC · CoveLabs.ai · LinkedIn

FinCrimeBench™ is a proprietary benchmark developed and owned by CoveLabs.ai LLC. The benchmark name, methodology, taxonomy, prompts, expert answer keys, scoring framework, evaluation results, and all associated content, deliverables, and derivative works are the exclusive intellectual property of CoveLabs.ai LLC. The contents of this site and the available whitepaper documents, including all analysis, findings, figures, and text, are protected by copyright. No part of this work may be reproduced, distributed, or used to train, fine-tune, or evaluate machine learning models without the prior written consent of CoveLabs.ai LLC, except for personal, non-commercial reference and for the limited fair-use purposes recognized under applicable law.

Legal

Privacy Policy

Effective Date: July 2026

Last updated: July 2026

1. Overview

This Privacy Policy explains how CoveLabs, Inc. and its affiliates, including FinCrimeBench (“CoveLabs,” “FinCrimeBench,” “we,” “us,” or “our”), collect, use, disclose, and protect personal information when you visit or interact with our websites, including fincrimebench.ai, submit forms, request research, register for events, or otherwise communicate with us.

By using our website or submitting information to us, you acknowledge that we may collect, use, and disclose your information as described in this Privacy Policy.

2. Information We Collect

We may collect personal information that you voluntarily provide to us, including when you:

  • Request FinCrimeBench research or other materials;
  • Submit a contact form or inquiry;
  • Register for an event, webinar, demo, briefing, or other activity;
  • Subscribe to updates or otherwise request communications from us;
  • Communicate with us by email or through other channels.

The types of information we may collect include:

  • Name;
  • Email address;
  • Company or organization;
  • Job title or role;
  • Industry or professional area of interest;
  • Country, region, or location information you choose to provide;
  • Any message, inquiry, or other information you submit to us.

We may also automatically collect certain technical and usage information when you visit our website, such as IP address, browser type, device information, pages visited, referring pages, and interactions with our website. We may collect this information through cookies, analytics tools, server logs, or similar technologies.

3. How We Use Your Information

We may use personal information for the following purposes:

  • To respond to your inquiries;
  • To provide requested research materials, reports, updates, or other content;
  • To send follow-up communications related to FinCrimeBench;
  • To send new or updated research, benchmark updates, reports, articles, event invitations, webinars, product or service updates, partnership opportunities, and other FinCrimeBench-related communications;
  • To understand interest in FinCrimeBench, our research, and our services;
  • To operate, maintain, analyze, and improve our website, research, products, services, and communications;
  • To manage event registrations, briefings, webinars, demos, or other interactions;
  • To maintain business records and manage our relationships with users, customers, prospects, partners, and other contacts;
  • To protect the security and integrity of our website, systems, and organization;
  • To comply with legal obligations and enforce our rights.

If you request FinCrimeBench research, register for an event, download materials, submit a form, or otherwise provide your contact information to us, we may use your contact information to send you related FinCrimeBench communications. These may include new research, updates to prior research, benchmark updates, event invitations, webinars, product or service updates, and other information that we believe may be relevant to your professional interests.

You may opt out of receiving marketing, research update, or event-related communications at any time by using the unsubscribe instructions included in our emails or by contacting us at admin@covelabs.ai. Even if you opt out of these communications, we may still send you non-marketing communications, such as responses to direct inquiries or administrative messages related to your interactions with us.

FinCrimeBench is designed to provide research, benchmarks, insights, and related information concerning financial crime, compliance, risk management, and related topics. If you provide your contact information to request or access FinCrimeBench materials, we may send you additional FinCrimeBench-related communications from time to time.

These communications may include:

  • Updates to previously requested research;
  • New FinCrimeBench research or reports;
  • Benchmark updates or methodology updates;
  • Event, webinar, briefing, or demo invitations;
  • Product or service updates;
  • Partnership or collaboration opportunities;
  • Other CoveLabs or FinCrimeBench information relevant to financial crime, compliance, AI benchmarking, or related professional interests.

We aim to be transparent about why you are receiving these communications. Our emails may explain that you are receiving the message because you previously requested FinCrimeBench research, registered for an event, submitted a form, or otherwise expressed interest in FinCrimeBench.

You may opt out of these communications at any time.

4. Cookies & Tracking

We may use cookies, pixels, analytics tools, and similar technologies to collect information about how visitors use our website. This may include information about pages viewed, links clicked, time spent on the website, referring websites, browser type, device type, and general location information.

We may use this information to:

  • Operate and improve our website;
  • Understand website traffic and user engagement;
  • Measure the effectiveness of our content and communications;
  • Troubleshoot technical issues;
  • Protect against misuse or unauthorized activity.

You may be able to control cookies through your browser settings. If you disable cookies, some parts of our website may not function properly.

5. How we share this information

We do not sell personal information.

We may share personal information with the following categories of recipients:

Service Providers

We may share information with service providers that perform services on our behalf, such as website hosting, analytics, customer relationship management, email delivery, event management, communications support, cloud storage, security, and other business operations.

These service providers are authorized to use personal information only as necessary to provide services to us or as otherwise permitted by law.

Affiliates and Business Partners

We may share information within CoveLabs and with affiliates or business partners where reasonably necessary to provide research, services, events, communications, or other FinCrimeBench-related activities.

Legal, Compliance, and Protection Purposes

We may disclose information if we believe disclosure is necessary or appropriate to:

  • Comply with applicable laws, regulations, legal processes, or governmental requests;
  • Protect our rights, privacy, safety, property, users, customers, partners, or the public;
  • Detect, prevent, or address fraud, security, technical, or misuse issues;
  • Enforce our agreements, policies, or terms.

Business Transactions

If we are involved in a merger, acquisition, financing, reorganization, sale of assets, or similar business transaction, personal information may be disclosed or transferred as part of that transaction, subject to appropriate protections where required by law.

6. Legal Bases for Processing

Where applicable data protection laws require us to identify a legal basis for processing personal information, we rely on one or more of the following legal bases:

  • Consent, where you have provided consent for a specified purpose;
  • Legitimate interests, including our interests in responding to inquiries, providing requested research, developing and improving FinCrimeBench, communicating with professionals who have expressed interest in FinCrimeBench, sending relevant business-to-business research updates, event invitations, and related communications, and operating our business;
  • Performance of a contract or pre-contractual steps, where processing is necessary to provide requested materials, services, information, or interactions;
  • Legal obligations, where processing is necessary to comply with applicable laws, regulations, or legal processes.

When we rely on legitimate interests, we consider the nature of the information, the context in which it was collected, your relationship with us, your reasonable expectations, and your rights and interests.

7. Third-Party Form Processor (Tally.so)

Our contact form is powered by Tally.so, a third-party form service. When you submit a contact request, your data (name, work email, company, role, and message) is processed and stored by Tally in accordance with their Privacy Policy (tally.so/privacy). We use Tally solely to receive and manage contact form submissions. Tally does not use your data for advertising or sell it to third parties. We have configured Tally to accept work email addresses only. Personal email domains (Gmail, Yahoo, Hotmail, and similar) are not accepted. You may request deletion of your form submission data by contacting us at admin@covelabs.ai.

8. Email Preferences and Opting Out

You may opt out of receiving marketing, event, research update, or other promotional communications from us at any time by following the unsubscribe instructions included in our emails or by contacting us at admin@covelabs.ai

If you opt out, we may retain limited information, such as your email address, to maintain a suppression list and ensure that we honor your communication preferences.

Please note that opting out of promotional or research update communications does not prevent us from sending non-promotional communications, such as responses to your direct inquiries, transactional messages, legal notices, security notices, or administrative communications.

9. Data Retention

We retain personal information for as long as reasonably necessary to fulfill the purposes described in this Privacy Policy, including to provide requested materials, send FinCrimeBench-related communications unless you opt out, manage our relationship with you, maintain business records, comply with legal obligations, resolve disputes, protect our rights, and enforce our agreements.

The length of time we retain information depends on the type of information, the purpose for which it was collected, legal and business requirements, and whether you have requested that we delete or stop using the information.

10. Data Security

We use reasonable administrative, technical, and organizational measures designed to protect personal information from unauthorized access, disclosure, alteration, or destruction.

However, no method of transmission over the internet or method of electronic storage is completely secure. We cannot guarantee absolute security.

11. International Users

If you access our website or provide information from outside the United States, your information may be transferred to, stored in, or processed in the United States or other jurisdictions where we or our service providers operate.

These jurisdictions may have data protection laws that differ from those in your location. Where required by applicable law, we take steps designed to provide appropriate protections for cross-border transfers of personal information.

12. Your Privacy Rights

Depending on your location and applicable law, you may have certain rights regarding your personal information. These rights may include the right to:

  • Request access to personal information we hold about you;
  • Request correction of inaccurate or incomplete information;
  • Request deletion of personal information;
  • Request restriction of or object to certain processing;
  • Request portability of certain information;
  • Withdraw consent where processing is based on consent;
  • Opt out of certain communications.

To exercise privacy rights, please contact us at admin@covelabs.ai. We may need to verify your identity before fulfilling certain requests.

13. Children's Privacy

Our website, research, and services are intended for business and professional audiences. They are not directed to children under the age of 13, and we do not knowingly collect personal information from children under 13.

If we learn that we have collected personal information from a child under 13, we will take appropriate steps to delete that information.

14. Changes to This Policy

We may update this Privacy Policy from time to time. Any changes will be reflected with an updated date at the top of this page. Continued use of the site constitutes acceptance of the updated policy.

15. Contact

For any privacy-related questions or requests, please contact us at: admin@covelabs.ai

↓