HA Fraud prevention · Hawk AI

HAWK:AI

HAWK:AI is an AI-based anti-financial-crime platform for transaction monitoring and screening, running inside your Zenoo flows.

At a glance

Overview

HAWK:AI overview

HAWK:AI is an AI-driven platform for anti-money-laundering and fraud prevention, with real-time transaction monitoring and screening. It suits banks and fintechs that need to detect financial crime as payments happen, and it fits a Zenoo flow where onboarding checks feed into ongoing monitoring.

Company
Hawk AI
Category
Fraud prevention
Strongest in
Real-time transaction monitoring
Best fit
Banks and fintechs monitoring payments for financial crime

Where it is strongest

Key strengths

What HAWK:AI does well.

01

Real-time transaction monitoring

The platform is built for real-time monitoring of payments and transactions to detect suspicious activity as it occurs.

02

AI-based detection

HAWK:AI markets machine-learning models for AML and fraud detection alongside rule-based approaches.

03

Modular design

The product is positioned with modular pricing and self-serve data connectivity, so teams can adopt the components they need.

Who it suits

Best for

Where HAWK:AI fits, and what to plan for.

Honest notes on the trade-offs, each with a way to cover the gap inside a Zenoo flow.

Best for
  • Banks and fintechs that need real-time transaction monitoring and AML detection
Considerations
  • Sales-led discovery. Pricing is not published and discovery is sales-gated, so budget the time for a scoping conversation. Inside Zenoo you can trial it against your own transaction data before committing.
  • Limited public developer signal. There is little independent developer discussion of the platform, so confirm integration fit during a pilot. Zenoo lets you pair it with a second detection engine as a check.
You

Open the customer's case

What your team sees

The HAWK:AI result, beside everything else.

The result sits with screening and review on one case, so nobody checks a second tool to see the whole customer.

LA
Lorraine AshcombeSample case · Personal
In review
HAWK:AIRecorded
Name and date of birthAgrees
PEP screeningSuggested
Name matches a list entry, but the date of birth differs. Suggest you clear as a false positive.Zenoo suggests, your team decides
You

Tomorrow, your case

Bring us a case that went wrong.

We will run it through Zenoo while you watch: the evidence, the decision, and the record your MLRO would want to defend.

30 minutes. Your data. No slides.