Best Fraud Detection Software - Page 18

LexisNexis Fraud Intelligence for Business

IDU® enables fast, seamless onboarding journeys and identity verification checks to support customer acquisition and accelerate customer conversion. LexisNexis® IDU® leverages over 2.85 billion UK consumer data points and 20+ years of referential data to accurately verify identity. Our proprietary, multi-patented linking technology connects and corroborates disparate data to create one of the most comprehensive identity databases in the UK, spanning 57.3 million unique LexID® consumer profiles.

LockProof

Tamper-evident, dispute-ready proof of field work, for property managers and field teams.

Moonsense

MXFraudAnalysis

MXFraudAnalysis identifies unusual patterns, inconsistencies, and high‑risk entries in spreadsheet data so finance teams can review large datasets with more confidence and less manual effort. It highlights anomalies, duplicates, irregular transactions, and structural issues that may indicate fraud or data integrity problems. The tool is designed for teams that rely on Excel and need a straightforward way to surface potential risks without specialist forensic skills

Naiza

Naiza is an API-first fraud detection and AML screening platform hosted in Saudi Arabia. It returns ALLOW, REVIEW, or BLOCK on product events and watchlist match context for onboarding and payments. Built for Saudi digital products. Not a document KYC or full transaction-monitoring suite.

Nemesis

Powered by AI, NEMESIS is an enterprise-ready configurable business solution platform that empowers business analysts to swiftly transform data into actionable insights – a one-stop solution for fraud detection and risk mitigation.

NeuroID

Experian NeuroID is a behavioral analytics solution that helps fraud, identity, and risk teams identify suspicious digital behavior before an application, login, account change or transaction is completed. The platform analyzes how users interact with digital forms and applications, including typing patterns, mouse movements, edits, hesitation, copy-and-paste activity and navigation behavior. Alongside device and network intelligence, these behavioral signals can help organizations distinguish legitimate customers from malicious bots and fraudulent users. NeuroID supports use cases including onboarding fraud, synthetic identity fraud, account takeover, fraud rings, stolen identities, scams, promotion abuse and automated bot activity. The solution can provide real-time risk signals to existing fraud detection, identity verification and decisioning workflows without requiring legitimate users to complete additional steps solely to generate behavioral intelligence. Key capabilities include behavioral analytics, real-time risk signals, bot detection, device intelligence and protection across the customer lifecycle. Experian reports customer outcomes including a 62% reduction in auto-approved onboarding fraud at a top-five bank, a 2x increase in post-login fraud detection for a financial services organization and more than $1.4 million in annualized savings for a global money transfer provider.

Nonashield

NonaShield is a hardware-anchored mobile transaction trust platform for banks, NBFCs, lenders, brokerages and fintechs. It replaces the probabilistic “risk score” model of mobile fraud prevention with deterministic cryptographic proof generated inside the device's own secure hardware. Conventional mobile security runs inside the operating system it is trying to verify. If the kernel is compromised — Magisk, KernelSU, Zygisk, a Frida hook, an emulator, or a RAT-driven screen share — every signal that layer produces is being reported by code the attacker already controls. NonaShield starts one layer below. At enrolment it mints a key pair inside the device's Secure Enclave, StrongBox or TEE. That private key is non-exportable by hardware design: it cannot be cloned to a second handset, lifted by a rooted process, or replayed from an emulator. The key does real work on every transaction. NonaShield issues a one-time server nonce, signs the full request payload, and binds the signature to the specific transaction parameters. A captured token cannot be replayed, redirected to a different beneficiary, or reused for a duplicate debit. Your backend verifies that signature independently — no live call to our cloud on the payment path. Around that cryptographic spine sits a nine-layer defence stack — RASP, hardware-bound identity, API gateway, fraud intelligence, graph intelligence, behavioural intelligence, decision engine, evidence engine and compliance — unified in one SDK. Every competitor in this category covers two or three of those layers in isolation: RASP — root, Magisk, KernelSU and Zygisk detection; Frida, Xposed, hook and debugger detection; emulator detection; repackaging and anti-tamper; SELinux tampering; screen-mirroring and accessibility service abuse Device intelligence — persistent device identity that survives reinstall and factory reset, hardware and OS attribute exposure, network and ASN signals Behavioural physics — sensor-level micro-jitter analysis that separates a human hand from a bot, an automation farm, or a remote operator Fraud graph — cross-device, cross-identity correlation that exposes mule networks and coordinated rings Agentic AI advisory — continuous anomaly investigation with recommended policy adaptations EdgeScoreFusion — a deterministic verdict weighting runtime (60%), behavioural (25%) and network (15%) evidence Every decision writes to a tamper-proof EvidenceBundle — a hash-chained, per-transaction record exportable as a forensic dispute pack in under an hour. It is the artefact that matters when a regulator, an ombudsman or a customer's lawyer asks what your app actually knew at the moment of the transaction. NonaShield maps natively to the RBI Master Direction on Digital Payment Security Controls, the RBI two factor mandate effective 1 April 2026, NPCI mobile guidelines, the DPDP Act 2023 and PCI DSS 4.0, with India data residency. It is post-quantum ready, and the core attestation method is patent published in India (publication number 202621036332) with grant awaited. One SDK. One contract. Android, iOS and React Native. Free 2-month pilot for up to 1,000 users, and published per-user pricing at diimeai.com.

Nuix Neo Investigations

Nuix Neo Investigations is a solution that enables investigators, data analysts, and data scientists to handle large, complex, and time-intensive investigations. Nuix Neo Investigations allows you to see deep into the data, collaborate in real time and uncover the truth, with insights on a massive scale.

OnBoard by MVSI

OnBoard by MVSI is an end-to-end merchant onboarding and compliance platform designed for regulated payments, fintech, and financial services. It enables organizations to onboard, verify, and manage business customers while applying regulatory, risk, and compliance controls consistently across the onboarding lifecycle, from initial application through ongoing customer due diligence (OCDD). The platform is used by acquirers, payment service providers (PSPs), payment facilitators (PayFacs), fintechs, business lenders, and banks that are responsible for onboarding merchants in complex regulatory environments. It is built for teams managing high onboarding volumes, diverse merchant risk profiles, and operations across multiple jurisdictions, providing a single system of record for onboarding, verification, and compliance activities. OnBoard unifies digital onboarding, KYB, KYC, AML screening, underwriting, risk decisioning, and ongoing monitoring in a single platform. Compliance and risk controls are embedded directly into onboarding workflows, rather than treated as separate or downstream checks. This approach enables faster, more secure, and audit-ready onboarding while maintaining regulatory alignment across markets. The platform supports risk-based onboarding through configurable workflows, risk profiles, scoring models, and decision rules. Payments teams can collect and verify information, route tasks, and manage assessments and approvals in line with internal policies and regulatory requirements. The platform supports digital applications and contract generation as part of automated onboarding workflows. Intelligent workflow routing reduces manual effort and communication errors, while ensuring onboarding decisions are applied consistently across teams. OnBoard also provides configurable onboarding journeys, drag-and-drop Smart Forms, and fully white-labelled experiences. These capabilities allow organizations to design compliant, brand-aligned onboarding processes that reduce friction for merchants without compromising control. Real-time monitoring for sanctions, politically exposed persons (PEPs), and adverse media supports ongoing due diligence, with alerts triggered when risk or compliance status changes. The platform operates across more than 120 countries and supports over 20 languages, making it suitable for organizations with global onboarding requirements. AML on Demand extends OnBoard with expert-led verification services, providing scalable, multilingual AML, KYC, KYB, OCDD, and remediation support across jurisdictions. By combining intelligent automation with embedded compliance and expert verification services, OnBoard helps regulated organizations maintain oversight, manage risk, and scale merchant onboarding operations with confidence.

Average Rating: 4.9/5.0

Total Reviews: 6

OneSpan Risk Analytics

OneSpan Risk Analytics achieves the twin goal of strong security and optimal user experience. It analyzes vast mobile, application and transaction data, in real-time, to effectively detect fraud and dynamically step up security to stop fraudulent transactions, improving the customer experience and defeating sophisticated fraud.

Opticks

Outseer FraudAction

Outseer FraudAction protects your customers beyond your firewall by combining cybercrime focused cyberintelligence and industry-leading takedown services to find and neutralize phishing, malware, and brand abuse. FraudAction stops attacks on your customers before their credentials are phished, and long before attackers take over accounts and your business books losses. When combined with the full suite of Outseer solutions, like Fraud Manager to protect authentication, and 3DS to protect card-not-present online transactions, you can intercept fraud at many points along the attack chain, reducing losses and protecting customers. Attack the Attack Chain Fraud depends on a series of linked steps. To cash out an account, you need control over the account. To gain control over an account, you need customer login credentials. To get customer login credentials, you need to trick the customer into sharing their credentials. Each step depends on everything “going right“ for the fraudster. If any "link“ in the chain of events is broken, the entire chain fails and the attack fizzles. If we make efforts to disrupt every link in the chain, the odds of successful fraud drop precipitously. In the case of an account takeover (ATO), the earliest point in the chain for us to target is the phishing campaigns targeting customers. That is exactly what FraudAction is built to do. By tracking domain registrations and ownership changes, we can predict which pages will be used for phishing. We monitor those pages carefully – when the domain is inevitably used for phishing, FraudAction is already prepared to start the takedown. Phishing attacks can be disrupted before more customer credentials are breached – and in some cases, disrupted before the phishing campaign is even launched. FraudAction gives you the initiative, forcing fraudsters to react to you. By taking every opportunity to disrupt fraud, and by focusing on stopping as much fraud as possible as early in the attack as possible, FraudAction can lower the cost of responding to fraud. Disrupting phishing before customers get phished means fewer customers lose credentials. That translates to less operational expenses spent reaching out to breached customers who need to reset passwords, lower ATO losses, and a better overall customer experience. Brand Protection and Scam Disruption Phishing login credentials is just one avenue to victimize your customers. Many fraudsters leverage the trust that customers place in your brand to solicit a customer’s personal information or promote scams. Brand abuse frequently spreads on social media, claiming to offer rewards like gift cards in exchange for providing information. Pilfered information can be sold to spammers or used to support fraud schemes that specialize in victimizing your customers. Scams directly steal from your customers, leaving them confused – and angry at your firm. According to research by FINRA and the BBB, 90% of consumers that report brand abuse on social media engaged with brand abusing content1. Customers are not always aware of the difference between authorized branded content and brand abusing content, and they may publicly blame the company for allowing brand abuse on social media. Scams and targeted fraud enabled by brand abuse is very costly when it targets your business. Typical schemes are credit fraud schemes and call center account takeover fraud. Fraud targeting your customers directly can impact your bottom line by proxy. If customers lose money to scams, they have less capacity to do business with your company. The FraudAction Detection network is vigilant to brand abuse, rogue apps, and scams targeting your customers with your brand. With twenty years of experience, and by leveraging over 10,000 relationships with social media firms, ISPs, and registrars, we can assist in takedown for these pernicious threats to your customers. Intelligence-Led FraudAction Cyberintelligence (FACI) complements our takedown services and other Outseer products by maintaining a presence on cybercrime forums and by engaging with criminal actors to track new and emerging threats to your brand and customers. We collect breached credentials and breached information. We hunt for stolen credit card numbers and schemes to harm your customers. You may not be aware of data breaches and stolen data until you see headlines in the news – but FACI aims to give you advanced warning. With more and more firms relying on trusted third-parties to support their businesses, and with supply chain attacks on the rise, being alert to breached data is more important than ever in the fight against fraud. No-Code Implementation Once you engage FraudAction, we enroll your brands into our Detection Network within days. FraudAction can autonomously identify threats to your customers and brand, and initiate takedown of malicious phishing sites and malware distributing sites. There is no code to change to initiate protection. FraudAction does offer more advanced services like abuse mailboxes, referral-tracking pixels, and API data feeds that can offer more integrated solutions to protect your customers.

Pasabi

PaySentinel

PaySentinel is a pre-payment fraud detection tool built for AP clerks, bookkeepers, office managers, and small business owners who need to verify invoices and vendor payments before authorizing a wire or ACH transfer, without enterprise-level setup or cost. Most payment fraud isn't caught by accounting software. It's caught by humans noticing something is off, or not caught at all until the money is gone. PaySentinel gives that human a structured second opinion in under a minute. Paste in a vendor name, invoice details, routing number, or the text of a suspicious email. PaySentinel checks it against known fraud signals, routing number validity, domain age and lookalike patterns, banking detail changes, BEC language, and your own prior payment history, and returns a risk score with specific flagged signals and recommended next steps. PaySentinel covers four check types: vendor verification before onboarding, invoice analysis before approval, email evaluation for suspected BEC or phishing, and transaction checks on routing and account numbers before a wire or ACH goes out. Every check returns a Low, Medium, High, or Critical risk score with the contributing factors listed. The free tier requires no account, no integration, and no IT involvement, 10 checks per week, results in under a minute. PaySentinel was built by a fraud analyst with direct experience investigating payment fraud, account takeovers, and business email compromise, not by a product team guessing at what AP clerks need. The detection logic is derived from real fraud investigation workflows and not generic AI summarization.