Transaction Fraud Cut payment fraud with real-time protection

Prevent fraud at the point of payment—across traditional, instant and P2P rails.

Product Differentiators Strike fast, stopping payment fraud with hawk-eyed precision

• Rapidly trained transaction fraud models: Stop unauthorized fraud in its tracks with AI models tailored to your transaction patterns, matured, and deployed in under three days.
• Real-time, explainable AI: Halt fraud instantly (150 ms average) and release legitimate funds quickly with crystal-clear AI reasoning for each flagged transaction.
• Self-serve rule management & sandbox testing: Create, test, and deploy fraud rules on the fly to block flash fraud and fraudsters testing the limits of your controls.

Payment Fraud Detection Software Shut down attacks by addressing risks at speed

Don't let misleading 'real-time' claims and reliance on external support leave you exposed; get effective protection with tailored transaction fraud defenses and agile control.

Prevent payment fraud with real-time precision

• True real-time payment and card fraud detection (150 ms average)
• Support for all payment rails with rail-agnostic API (ACH, BACS, Card, Check, P2P, SEPA, Wire)
• Payment interdiction that allows you to block, hold, and release transactions
• Out-of-the-box rule guidance including ACH/wire fraud, ATM fraud, card fraud, check fraud, merchant fraud, and more
• Self-serve rule management, configuration, and live sandbox testing
• Rapidly trained AI models to detect chargeback fraud, stolen credit cards, and more
• Automatic AI model governance

AI from Hawk Generate an instant return on investment with explainable AI

AI transforms transaction fraud detection, reducing unnecessary alerts and providing clarity that enables analysts to act with confidence, all while keeping legitimate customers’ payments moving.

Cut losses from known transaction fraud patterns

Transaction fraud-specific machine learning models are tailored to your distinct card and payment fraud risks and deployed at speed with Hawk’s Day One Defense Models.

Quickly spot new types of unauthorized fraud

Hawk’s advanced anomaly detection models protect customers by detecting suspicious payments outside of their typical behavior.

Cut unnecessary customer friction

Reduce noise with made-for-you false positive reduction models and accelerate transaction review with intuitive AI explanations.

Prevent more suspicious payments with a true real-time payment fraud solution

The Hawk Difference Discover how Hawk raises the bar for efficient payment fraud detection

The Traditional Way

• Ineffective, generic out-of-the-box AI fraud typology models.
• Support team–managed rules that delay fraud response, letting some fraudulent transactions slip through.
• AI that generates alerts unclear explanations on why alerts are triggered.
• Outdated user interface that slows down investigation creating friction.
• Single control setup for all product lines and white-label customers.
• Fragmented APIs with higher complexity and maintenance overhead.

The Hawk Way

• Day one defense models for personalized protection at the speed of out-of-the-box models.
• Full control with flexible, self-serve rule management.
• Clear and contextual AI explanations which speed up alert review.
• Sleek interface and unified case management, delivering cross-payment rail insights all in one place.
• Multi-tenant structure for different business units or merchants.
• One payment-rail agnostic API.

Use Cases

No payment rail left unprotected

Easily add new payment methods on the fly with Hawk’s rail-agnostic API

• ACH, SEPA & BACS
• Card
• Check
• P2P
• SWIFT & Wire

ACH, SEPA & BACS

Secure domestic and cross-border payments, preventing fraudulent schemes like:

• ACH kiting or lapping
• Fraudulent SEPA credits

Card

Prevent fraudulent debit and credit card transactions and reduce chargebacks before they impact your business. Detect risks such as:

• Card-present (CP) and card-not-present (CNP) fraud
• Card testing and BIN attacks
• Stolen card credentials

Check

Stop fraudulent checks before they clear. Detect fraudulent check activities including:

• Forged checks
• Altered checks
• Counterfeit checks
• Check kiting and floating schemes

P2P

Protect your customers and platform from scams and fraudulent peer-to-peer payments, including:

• Phishing attacks and social engineering
• Mule accounts
• Rapid transfers between accounts

SWIFT & Wire

Ensure high-value transfers are secure, and unauthorized payments are prevented. Fraudulent activity may involve:

• Fraudulent SWIFT messages
• Transfers to high-risk jurisdictions

Hawk's AI Day One Defense Models: How to get tailored fraud prevention AI models quickly

Hawk's Day One Defense Models are AI typology blueprints fine-tuned to the specific needs of each financial institution, to deliver hyper-personalization, fast deployment, and high accuracy.

Frequently Asked Questions Want to know more?

How does transaction fraud detection work?

Modern transaction fraud detection operates as a high-speed filtration system that analyzes financial activity in milliseconds. The process typically follows these four critical stages:

1. Data Ingestion & Enrichment: As a transaction is initiated (via credit card, ACH, or wire), the system collects data points including the transaction amount, merchant category, geographic location, and device ID. It then enriches this with historical data, such as the user’s typical spending patterns and known fraud blacklists.
2. Behavioral Analysis: A payment fraud detection system would typically compare the transaction against "normal" behavior. It looks for anomalies—such as a sudden high-value purchase from a new IP address—and calculates a risk score based on thousands of variables.
3. Rule-Based Validation: The transaction is simultaneously checked against specific regulatory or internal business rules.
4. Real-Time Decisioning: Within milliseconds, the system produces an outcome:
   • Approve: The risk is low; the transaction proceeds instantly.
   • Decline: High-risk indicators trigger an immediate block to prevent fund exfiltration.
   • Step-up Authentication: The user is asked for additional verification (like an OTP or biometric scan) to confirm the intent.
   • Review: The transaction is flagged for a human analyst to investigate via a fraud monitoring dashboard.

What fraud typologies are usually covered by payment fraud detection systems?

Modern detection systems are designed to identify and block a wide array of sophisticated attack vectors across all payment rails (ACH, Card, Wire, and Real-time Payments). The primary fraud types protected include:

• Authorized Push Payment (APP) Fraud: Occurs when a criminal tricks a victim into manually authorizing a payment to an account they control.
• Account Takeover (ATO): Detection monitors for suspicious login behavior or sudden changes in transaction patterns.
• Card-Not-Present (CNP) Fraud: By analyzing device fingerprinting and behavioral biometrics.
• Synthetic Identity Fraud: Identifying accounts created using a mix of real and fabricated information.
• Money Muling & Smurfing: Detects patterns of rapid, high-volume "pass-through" transactions.
• Internal or "Friendly" Fraud: Identifying anomalies that suggest an insider is manipulating transactions.

What are the benefits of rail-agnostic fraud monitoring?

Rail-agnostic fraud monitoring allows a financial institution to oversee all payment types within a single, unified system. The primary benefits include:

• Cross-Rail Pattern Recognition: Detects "hop-over" patterns fraudsters use to move illicit funds.
• Unified Risk Scoring: Updates the risk profile for users seamlessly.
• Operational Efficiency: Reduces the "tool sprawl" for fraud analysts.
• Future-Proofing for New Payment Rails: Integrates new streams into existing fraud models easily.
• Reduced False Positives: Gains higher contextual certainty to ensure legitimate customers aren’t blocked.