Best Fraud Detection Software in the USA

SEON's mission is to create a world free from financial crime by stopping fraud earlier and quicker in the customer journey. With the trust of more than 5,000 companies, SEON has reviewed billions of transactions, preventing over €160 billion in fraudulent activities. Our rapid integration, and 30 days free trial, allow businesses to try SEON with low risk and high rewards. SEON provides a comprehensive end-to-end fraud prevention solution, including Anti-Money Laundering (AML). Our unique approach combines social signals with deep digital footprinting, leveraging fully-explainable machine learning to identify emerging fraud threats. As a recipient of numerous accolades, including Sifted's Rising 100, Deloitte's Technology Fast 50, Crunchbase's Emerging Unicorn, and G2's Fastest Growing Software in 2022, SEON has raised $94 million in Series B funding as of April 2022. Operating globally from Austin, London, Budapest, and Singapore, we are committed to making the world safer.

DataDome protects businesses from cyberfraud and bot attacks in real time, securing digital experiences across websites, mobile apps, ads, and APIs. Named a Leader in the Forrester Wave for Bot Management, DataDome is powered by AI that analyzes 5 trillion signals daily, delivering unmatched protection without compromising performance. Its Cyberfraud Protection Platform seamlessly integrates into any tech stack, offering record-fast time to value. Fully automated, it detects and blocks every malicious click, signup, and account login. Backed by a global team of advanced threat researchers and 24/7 SOC support, DataDome stops over 350 billion attacks annually. Experience protection that outperforms, every time.

Sensfrx is a powerful fraud prevention platform designed to safeguard businesses from various types of fraud, including account takeovers, chargebacks, bot interference, and fake registrations. It uses advanced AI and machine learning to detect malicious activities in real time, ensuring seamless user experiences while protecting sensitive data. By analyzing user behavior, device fingerprints, and transaction details, SensFRX detects suspicious activity early. For example, it blocks stolen credentials during login, stops fake identities at sign-up, and flags scams using real-time risk scoring. Its self-learning algorithms respond instantly to threats, reducing false alerts while stopping fraud before damage occurs. The platform is highly customizable, allowing businesses to set their own fraud prevention rules and policies, making it adaptable to various industries, from e-commerce to banking.

Moonsense helps customers detect the most sophisticated fraud schemes by providing immediate access to actionable signals and underlying granular source data for enhancing fraud detection without creating additional user friction. User behavior and user network intelligence are the building blocks required to reveal the user's unique digital body language, similar to an individual's fingerprint. In a world where data breaches are common, the user's digital body language is uniquely capable of detecting the most challenging fraud typologies without adding user friction. Identity theft is one of the most common fraud types. During account creation, there is an expected pattern of behavior. By analyzing the user's digital body language, you can flag accounts that are different from what's normal. Moonsense is on a mission to level the playing field in the fight against online fraud. One integration unlocks access to both user behavior and user network intelligence.

Device-First Fraud Prevention with Real-Time Identification & Intelligence. SHIELD's Device Intelligence persistently identifies devices, users, and accounts you can trust — and those you can't. Don't let fraudsters fool you. Make precise decisions about device trustworthiness with the global standard for device identification — SHIELD Device ID. Get the most comprehensive view of every user with real-time actionable device signals and continuous risk profiling. Eliminate risk blind spots, provide superior user experiences, and accelerate growth. Instant insights. No additional codes needed. Gain intelligence without giving PII data. Self-configurable risk thresholds. We return all data, and more. Get the full picture with transparent intelligence. Stay ahead of new and emerging fraud attacks. Real-time attack pattern syncing worldwide.

ShieldLabs is fraud detection and prevention with traffic quality scoring. It stops multi-accounting, account sharing, account takeover, fake signups and ad fraud. A single JavaScript snippet collects more than 100 device and network signals on every visit and cross-checks them, which exposes deep masking and delivers up to 99% detection accuracy. Returning visitors are recognised across cleared cookies, incognito mode and changed IP addresses, and linked users are detected across accounts, devices and IP addresses. VPNs, proxies, Tor, Apple Private Relay, datacenter IPs, anti-detect browsers, browser automation, bots and AI agents each come back as a named signal, not one binary flag. Every visitor, user, device and IP gets a risk score. Ready-made patterns cover multi-accounting, account sharing, account takeover and impossible travel, and traffic quality is scored by source, channel and campaign. Five minutes to integrate. Client and server SDKs, public API, signed webhooks

Wyllo is a risk intelligence platform for ecommerce that connects identity, behavior, and post-purchase signals across the full customer journey, from pre-purchase and checkout through returns, claims, and support. Instead of evaluating risk one transaction at a time, it unifies customer intelligence in a dynamic decision layer that gives teams end-to-end visibility into fraud and abuse across brands and channels, while connecting the behavior of the same user or cluster across orders and interactions. It is designed to help merchants make more confident, trust-based decisions without creating unnecessary friction for good customers. Its capabilities include bot and unauthorized reseller detection, AI-powered payment fraud screening backed by human fraud experts, return fraud and abuse prevention using advanced risk models, and claim and policy abuse prevention that identifies risk and intent before they turn into refunds, disputes, or escalations.

HUMAN Sightline Cyberfraud Defense is a fraud prevention and traffic governance platform designed to distinguish legitimate humans, bots, AI agents, and malicious activity across web, mobile, and API environments. The platform analyzes behavior across entire sessions and authentication stages rather than relying only on isolated requests or individual checkpoints. It is designed to detect and mitigate threats such as account takeover, fake accounts, scraping, compromised accounts, transaction abuse, and data contamination. Layered AI models continuously learn from detection and mitigation events to adapt to changing attacker techniques and traffic patterns. Security teams can use investigation and reporting capabilities to examine threat networks, understand attacker tactics, and respond more quickly to suspicious activity.