Fraud Prevention

Hawk is an AI-first, fraud prevention platform. It helps banks, credit unions, payment companies, and fintechs stop payment and card fraud, account takeover (ATO), scams, and mule activity in real time, cutting losses without adding friction for your legitimate customers.

Detection that finds more, with less friction Hawk layers multiple detection methods across a single rail-agnostic API, covering card, ACH, wire, check, and peer-to-peer payments, with some customers monitoring 900+ rails. Day One Defense Models guard against ATO, merchant fraud, chargeback fraud, money mules, and APP scams via a pre-built AI blueprint deployed in as little as three days. Anomaly detection builds context around customer and peer behavior to surface activity static rules miss, while false positive reduction learns from past decisions to avoid re-flagging known-legitimate patterns. One provider caught 30% more fraudulent merchant accounts than with its prior system, with transactions assessed in true real time (<250 ms) and the option to hold or block suspicious activity as it happens.

Agentic AI for investigations Beyond detection, Hawk's agentic AI extends into the investigation itself. The Fraud Review Agent acts as a co-pilot for your analysts: it gathers relevant transaction, device, and login data, identifies likely attack vectors, resolves entities across accounts, and recommends next steps, cutting the manual data-gathering that otherwise consumes analyst time. Agents operate with configurable autonomy and human-in-the-loop oversight, so you control which tasks are automated and retain full audit visibility over agent actions.

Case management built for speed Your analysts work from a unified, configurable case manager that consolidates flagged transactions, customer profiles, money-flow details, and prior decisions in one view. Teams can prioritize their queues, approve, hold, escalate, or request more information in a few clicks, and use batch closure for lower-risk cases. Every action is logged in an audit trail, and plain-language explanations accompany each alert so investigators understand why a transaction was flagged without digging through raw data.

Check fraud, purpose-built Hawk's Check Fraud Prevention uses optical character recognition and computer vision to analyze dozens of check attributes, including handwriting style, layout, and signature details, comparing them against a consortium of known legitimate and fraudulent checks. Behavioral rules flag unusual payee activity across deposit channels, including remote deposit capture, mobile, ATM, and teller, so you can catch counterfeit, forged, and altered checks before they clear.

Built for speed, without giving up control You configure and adjust detection logic yourself through no-code rule templates, and test changes against live production data in a dedicated sandbox before anything goes to production, so you can respond to flash fraud and new typologies without waiting on external support. Hawk's automated model development pipeline speeds the creation, validation, and retraining of AI models, keeping governance, explainability, and version control built into every stage.

Deployment, integration, and security Hawk is API-first, integrating with core banking systems and payment rails, and partners with providers to enrich detection with device intelligence and check-image data. You can choose SaaS, VPC, or on-premises deployment, with no extra fees per payment rail or seat. The multi-tenant platform supports configurable access controls, encryption in transit and at rest, and full tenant and audit segregation.

Built for scale Hawk is trusted by 100+ financial institutions worldwide, processing high transaction volumes with the low latency real-time fraud prevention demands. Its modular architecture lets you start with a targeted use case and expand into a broader FRAML program over time. Delivered as a SaaS solution, Hawk Fraud can operate as an overlay to existing fraud systems or as a standalone platform, enhancing protection without disrupting existing processing environments.

AWS Marketplace is used exclusively for commercial contracting and billing. Hawk Fraud operates independently of AWS Marketplace, and customer transaction data is not exposed to AWS through the Marketplace transaction layer.

Hawk Fraud Detection is offered via AWS Marketplace Private Offers. Pricing is tailored based on transaction volumes, fraud use cases, and contract duration. Private Offers enable customers to leverage existing AWS committed spend while AWS manages invoicing and collections. All commercial terms are agreed directly with Hawk and fulfilled through AWS Marketplace.

Fraud implementations are delivered either by Hawk directly or through certified consulting and system integration partners. Structured onboarding, phased rollouts alongside existing systems, and ongoing optimization and tuning support are available.