Hawk is an explainable-AI platform for AML, sanctions screening, and fraud prevention built for banks, fintechs, and payment companies. See features, pricing,…
Custom-quoted; Hawk does not publish self-serve pricing and quotes enterprise contracts directly to banks, payment companies, and fintechs.
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Last updated
August 15, 2026
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Hawk (founded in Munich in 2018 as HAWK:AI by Wolfgang Berner and Tobias Schweiger) is a financial crime compliance platform built for banks, payment companies, neobanks, fintechs, and crypto exchanges. Its core suite covers anti-money laundering (AML) and countering the financing of terrorism (CFT), combining transaction monitoring, customer risk rating, and an "AML AI Overlay" and "AML Investigative Agent" with explainable machine learning to surface suspicious activity while cutting false positives. Beyond AML, Hawk offers customer and payment screening against sanctions, watchlists, and PEP lists, plus a fraud-prevention layer covering transaction fraud, check fraud, and scam/mule detection, unified through a FRAML (fraud + AML) approach and a shared Case Manager for investigations. Newer platform components include an Analytics Studio for building and governing custom detection models and a Production Sandbox for testing rule changes before deployment. The platform integrates into existing bank and fintech infrastructure via a RESTful JSON API and runs as a cloud-native, containerized service (Kubernetes/Kafka-based) with multi-cloud and private-cloud deployment options to support data-residency requirements. Hawk cites institution-reported results including catching 3-5x more threats, 30% more fraudulent customers identified, up to 70% fewer false alerts, and roughly 62% less AML investigation time, and has been recognized in the Forrester Wave, Chartis RiskTech AI 50 2025, Datos Insights, and Celent Advanced Technology Award rankings.
Key Features
AML Transaction Monitoring — Explainable AI-driven monitoring of customer transactions to flag suspicious activity for anti-money laundering and countering-the-financing-of-terrorism compliance.
Customer Risk Rating — Personalized, ongoing customer risk scoring used to focus AML monitoring and due diligence effort on higher-risk accounts.
Customer & Payment Screening — Screens customers and payments against sanctions lists, watchlists, and PEP lists in real time, aiming to block sanctioned activity while keeping legitimate payments flowing.
Transaction Fraud, Check Fraud & Scam/Mule Detection — Fraud-prevention module covering transaction fraud, check fraud, and scam/money-mule identification, combined with AML under Hawk's FRAML approach.
Unified Case Manager — Shared investigation workspace for AML and fraud alerts, including SAR/CTR filing workflows.
Analytics Studio — Environment for building, testing, and governing custom AI detection models without a heavy internal governance burden.
Production Sandbox — Lets compliance teams set up a sandbox, adjust detection rules, select testing parameters, run simulations, and assess outcomes before pushing rule changes live.
RESTful API Integration — Connects to existing bank and fintech systems via a RESTful JSON API, described by Hawk as easy to integrate without replacing core infrastructure.
Multi-Cloud / Private-Cloud Deployment — Runs as a cloud-native, containerized service (Kubernetes, Kafka) with multi-cloud or private-cloud deployment options to meet data-residency requirements.
Pros & Cons
Pros
Combines AML, sanctions/PEP screening, and fraud prevention (FRAML) in one platform instead of separate point tools
Explainable AI approach is aimed at reducing false positives while catching more genuine risk, per Hawk's stated metrics (e.g. up to 70% fewer false alerts)
Production Sandbox lets compliance teams simulate and test detection-rule changes before pushing them live
REST API and multi-cloud/private-cloud deployment support integration into existing bank and fintech infrastructure
Recognized in independent analyst rankings (Forrester Wave, Chartis RiskTech AI 50 2025, Celent Advanced Technology Award)
Cons
Pricing is not published; institutions must contact sales to get a quote, making upfront cost comparison difficult
Built for regulated financial institutions (banks, PSPs, fintechs, crypto exchanges) rather than smaller businesses or non-financial use cases
Vendor-reported performance figures (e.g. false-positive reduction, threats identified) are not independently verified on the site
Named third-party integrations/technology partners beyond the core API are not publicly detailed