Fraud Detection and Credit Analysis
Platforms that automate risk scoring and anomaly detection for banks and lenders.
- fraud detection
- credit analysis
- real-time risk
- risk scoring
- automation
- compliance
- 8
- Total launches
- 1
- Last 30 days launches
- +13%
- 30D launch share
- January 28, 2026
- Category created
Turn launch signals into outbound timing.
Letrics helps you find new websites by function, industry, tech stack and launch window with enriched decision-maker contacts.
Each bar shows companies first seen in that calendar month over the last 12 months.
Companies in this category
Sort: Oldest first-
insightsecure.ai India
InsightAI is a SaaS business that provides a platform for AI-powered fraud detection and AML solutions.
-
spynetantifraude.com.br Brazil
Ether is a financial services platform that connects digital assets and global payments for scalable cross-border operations.
-
suniliyer.ca Canada
Shift Technology is a SaaS business that provides an AI-powered fraud detection platform.
-
wkkkis.com United States
Wkkkis is a technology company that builds and scales AI-powered platforms for fraud detection, fintech, and real-time applications.
-
fineksi.xyz Indonesia
Fineksi is a SaaS platform that helps financial institutions achieve digital transformation and AI-powered credit analysis.
-
shieldpointafrica.com Kenya
ShieldPoint Africa is a technology, information and media business that provides AI-powered fraud prevention solutions to financial institutions.
-
creditflow.pro United Kingdom
Crediflow AI is a SaaS business that automates corporate credit analysis and risk monitoring for banks, lenders and credit teams.
-
pastelhq.ai United States
Pastel is an AI company that provides an agentic AI platform for financial institutions to automate onboarding, compliance, fraud detection, AML, and executive insights.
Related categories
Frequently Asked Questions
01
What are Fraud Detection and Credit Analysis platforms?
Fraud detection and credit analysis platforms provide AI driven risk scoring, monitoring and decisioning for financial services. The cluster includes tools aimed at automating onboarding, fraud alerts, AML risk intelligence and real time anomaly detection, signaling a category focused on rapid risk assessment and workflow automation in regulated environments.
02
Why are new Fraud Detection and Credit Analysis platforms launching now?
New launches are appearing as AI driven risk scoring, graph analytics and real time risk assessment become more scalable. The Emergence Index has tracked 8 launches in this category, with recurring emphasis on automation and instant profiling to speed risk decisions for banks, lenders and fintechs.
03
Who typically buys Fraud Detection and Credit Analysis software?
Buyers are usually risk officers, data science leads, compliance teams and fintech product owners who need faster investigations and tighter controls. They look for real time risk scoring, explainable insights, AML monitoring and seamless integration with existing risk workflows and data stores.
04
How are Fraud Detection and Credit Analysis different from Secure Systems software?
Fraud and credit analysis tools focus on detecting and preventing financial risk in transactions and customer behavior. Secure Systems concentrates on protecting accounts and infrastructure from threats. Buyers should compare fraud and credit platforms when risk decisioning is the priority; compare secure systems when protection and access control are the main concern.
05
What launch signals suggest Fraud Detection and Credit Analysis are gaining momentum?
Signals include the 8 tracked launches and repeated focus on real time risk, AI based detection and automated risk workflows. Analysts should watch for broader AML coverage, explainable AI insights and deeper integrations with lenders' core banking or loan origination systems as indicators of expanding productization.