Diligent is an AI-powered platform for fintechs and banks, designed to automate and enhance due diligence on business customers. It leverages Generative AI to investigate online presence, uncover network connections to high-risk entities, and monitor for emerging risks, strengthening fraud and AML compliance.
Fraud.net is an enterprise-grade, AI-powered platform for real-time fraud detection, risk management, and compliance. It offers a unified, end-to-end solution that helps businesses reduce false positives, prevent sophisticated fraud across all channels, and streamline AML/KYC processes. Its customizable and scalable architecture is designed for large, complex organizations in sectors like finance, payments, and commerce.
Product overview
Diligent Product overview
Diligent is an AI-powered platform for fintechs and banks, designed to automate and enhance due diligence on business customers. It leverages Generative AI to investigate online presence, uncover network connections to high-risk entities, and monitor for emerging risks, strengthening fraud and AML compliance.
Fraud.net Product overview
Fraud.net is an enterprise-grade, AI-powered platform for real-time fraud detection, risk management, and compliance. It offers a unified, end-to-end solution that helps businesses reduce false positives, prevent sophisticated fraud across all channels, and streamline AML/KYC processes. Its customizable and scalable architecture is designed for large, complex organizations in sectors like finance, payments, and commerce.
Detailed feature comparison
| Feature | Diligent | Fraud.net |
|---|---|---|
| Primary category | Compliance | Risk Management |
| Added | 2025-08-14 | 2025-08-14 |
| Pricing | Paid | Paid |
| Official website | www.godiligent.ai | www.fraud.net |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 9.3K | 34.4K |
| Monthly growth | 17.5% | -11.9% |
| Favorites | 109 | 122 |
| Details | View details | View details |
Diligent vs Fraud.net monthly traffic
Compare Diligent and Fraud.net by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Diligent vs Fraud.net monthly traffic comparison, Diligent currently shows 9.3K visits and Fraud.net shows 34.4K; Fraud.net has about 3.7 times the visible traffic of Diligent, an absolute difference of about 25.1K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
Diligent monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 3.5K Monthly visits
- 2026/1: 6.3K Monthly visits
- 2026/2: 5.9K Monthly visits
- 2026/3: 8.3K Monthly visits
- 2026/4: 7.9K Monthly visits
- 2026/5: 9.3K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇬🇧United Kingdom | 30.42% | 2.8K |
| 🇺🇸United States | 25% | 2.3K |
| 🇮🇳India | 20.28% | 1.9K |
| 🇳🇱Netherlands | 15.46% | 1.4K |
| 🇪🇸Spain | 8.84% | 819 |
Search keywords
Fraud.net monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 41.8K Monthly visits
- 2026/1: 51.8K Monthly visits
- 2026/2: 49.5K Monthly visits
- 2026/3: 45.3K Monthly visits
- 2026/4: 39K Monthly visits
- 2026/5: 34.4K Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 41.43% | 14.2K |
| 🇳🇬Nigeria | 20.03% | 6.9K |
| 🇬🇧United Kingdom | 15.93% | 5.5K |
| 🇮🇳India | 12.37% | 4.3K |
| 🇰🇪Kenya | 10.24% | 3.5K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 81.47% | 28K |
| Referral | 18.53% | 6.4K |
Search keywords
Usage comparison
Compare the core capabilities of Diligent and Fraud.net
Diligent Core features
Fraud.net Core features
Use cases
Diligent Use cases
Fraud.net Use cases
Diligent vs Fraud.net:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Diligent vs Fraud.net comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Diligent is primarily listed under “Compliance”, while Fraud.net is primarily listed under “Risk Management”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Diligent: Compliance; Fraud.net: Risk Management); Monthly visits (Diligent: 9.3K; Fraud.net: 34.4K); Monthly growth (Diligent: 17.5%; Fraud.net: -11.9%); Favorites (Diligent: 109; Fraud.net: 122); Website (Diligent: www.godiligent.ai; Fraud.net: www.fraud.net). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Diligent vs Fraud.net monthly traffic comparison, Diligent currently shows 9.3K visits and Fraud.net shows 34.4K; Fraud.net has about 3.7 times the visible traffic of Diligent, an absolute difference of about 25.1K visits. This reflects visible reach, not feature quality or paid users.
Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.
If public market visibility is an important first-pass criterion, investigate Fraud.net first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.
Product positioning, use cases, and roles
Diligent and Fraud.net currently overlap in shared categories: Compliance and Fraud Detection; shared tags: AML, fraud detection, KYC, and risk management. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Diligent's unique categories/tags are Automation, Business Verification, compliance automation, due diligence, fintech, llm, regtech, and regulatory technology; Fraud.net's are Risk Management, AI security, compliance, e-commerce, enterprise software, financial services, machine learning, and payments. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.
What ratings, comments, and favorites can tell you
Diligent has no verified rating, 0 comments, 109 favorites, and 119 likes;Fraud.net has no verified rating, 0 comments, 122 favorites, and 109 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Diligent first
Put Diligent on the priority trial list when the task aligns with “Compliance” and especially Automation, Business Verification, compliance automation, due diligence, fintech, and llm. This follows recorded positioning and does not imply unlisted capabilities are absent.
Diligent also currently records: pricing is paid, product type is website, 9.3K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
When to evaluate Fraud.net first
Put Fraud.net on the priority trial list when the task aligns with “Risk Management” and especially Risk Management, AI security, compliance, e-commerce, enterprise software, and financial services. This follows recorded positioning and does not imply unlisted capabilities are absent.
Fraud.net also currently records: pricing is paid, product type is website, 34.4K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.
How to validate the recommendation before deciding
The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Diligent and Fraud.net, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.
Comparison FAQ
How should I choose between Diligent and Fraud.net?
Where does this comparison data come from?
What do unknown fields mean?
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