Alloy Adds AI to Fraud Detection Service

Anti-fraud platform Alloy says it has added artificial intelligence to its platform to improve fraud prevention while providing actionable information to financial services firms.

Founded in 2015, Alloy reports providing services to more than 600 of the world’s largest financial institutions, including Fintechs.

Alloy claims its service is better because it is not just a notification but also tells users how to respond.

Their “Fraud Attack Radar” is described as a notification service and action application in a single platform.

The companies in house research claims that 60% of financial institutions reported an increase in fraud events in 2024. They also claim that firms depend too much on transaction monitoring and not halting fraud before it occurs by detecting nefarious activity at the point of onboarding.

 



Sponsored Links by DQ Promote

 

 

Disclosure Quest

Reg A - Form 1-A Filings Beta

Beta. Initial Form 1-A only. Target raise is the stated Amount to be Raised, totaled. Compared with the same dates one year earlier.

YTD: Jan 1, 2026 - Oct 18, 2026 vs Jan 1, 2025 - Oct 18, 2025

Share this graph
Number of Filings129Prior 123 +4.9%
Target Raise, Total$3.37BPrior $3.45B -2.2%
This YTDYear priorChange
Filings 129 123 +4.9%
Target raise $3.37B $3.45B -2.2%

Sponsored by the Crowded Media Group the leading digital news service covering the global Fintech Industry, including digital assets, crowdfunding, tokenization, and other innovations in capital markets. email us @CrowdfundInside

Source: DisclosureQuest. Initial Form 1-A only.

Created by Crowded Media Group

This display counts initial Form 1-A filings only. It does not represent subsequent filings, including Form 1-A/A amendments or Form 1-A POS post-qualification updates filed by the issuer. Amounts are the stated Amount to be Raised on the initial filing, not capital raised and not amounts revised in later filings.

0 0 votes
Article Rating
Subscribe
Notify of
guest

This site uses Akismet to reduce spam. Learn how your comment data is processed.

0 Comments
Newest
Oldest Most Voted
 
0
Would love your thoughts, please comment.x
()
x
Send this to a friend