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Enterprise Layer Intelligence
Categories/Cybersecurity/HAWK:AI
HAWK:AI

HAWK:AI

Founded by Tobias Schweiger in 2018

Detect financial crime, monitor suspicious transactions, and screen sanctioned payments in real time

Pricing model

Paid

Rating

★ People love it

Time to value

Quick Setup (< 1 hour)

You can use Hawk to monitor financial transactions and screen customers for anti-money laundering compliance. The system automatically inspects payment activity across multiple channels to uncover fraud, identify suspicious patterns, and detect anomalies that traditional rule systems miss. Compliance teams can configure screening rules without coding, prioritize high-risk alerts, and reduce false positives during investigations. It also automates routine investigation steps and generates audit-ready explanations for decisions, allowing banks and payment companies to satisfy regulatory requirements while managing customer risk and preventing payment fraud.

What HAWK:AI does

Configure custom transaction monitoring rules without codingScreen transaction parties against global sanction listsReview and triage high-priority AML alertsInvestigate flagged payment transactions for fraud indicatorsAssess dynamic customer risk scores during onboardingExport audit-ready investigation documentation for regulatorsReal-time transaction monitoring to detect money laundering and payment fraudWatchlist and sanction screening for customer onboarding and outgoing paymentsDynamic customer risk rating calculation based on behavior and profile dataNo-code rule editor allowing compliance staff to adjust logic without developersAutomated alert prioritization to surface urgent threats firstExplainable machine learning models with audit-ready reasoning for regulatorsAnomaly detection models to flag unknown money laundering typologies

Pricing breakdown

Pricing model: Paid

View full pricing page ↗

Frequently asked

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Hawk, AML, CFT, anti-money laundering, transaction monitoring, fraud detection, customer screening, sanction screening, payment screening, financial crime, anomaly detection, customer risk rating, false positive reduction, alert prioritization, compliance