9 Best-Rated Banking Fraud Detection Software in 2023
With the arrival of challenger banks and nonbanks, the online banking industry has seen a radical transformation in the last few years. But this also opened the door to more fraud attacks.
This article will detail where the risks lie, and which banking fraud detection software will improve your financial institution’s security.
List of Banking Fraud Detection Software
- SEON: Transparent, Modular, Powerful
- SAS: The Analytics Legacy Leader
- ThreatMetrix: On-Premise or Cloud-Based FI Risk Management
- Feedzai: AI Against Financial Crime
- Experian Hunter: Application Fraud Detection
- ComplyAdvantage: API-Based KYC and AML
- iComply: KYC, AML, and KYB
- Ondato: Video Verification and Risk Management
- Actico: Compliance and Digital Transformation
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What Is Banking Fraud Detection Software?
Banking fraud detection software is designed to help financial institutions such as traditional banks and neobanks detect fraudsters, bad agents, and criminals.
That includes users who attempt to open bank accounts with stolen IDs, money launderers, bonus abusers, and fraudsters who attempt to log into other people’s accounts.
Fraud banking fraud detection software tends to combine features of KYC (know your customer), AML (anti-money laundering), and authentication (to protect customer accounts from suspicious logins).
Top Features of Banking Fraud Detection Software
Banking fraud detection software comes in many shapes and sizes, but some features are recurring, such as:
- Digital footprint analysis: A feature that leverages digital data to answer the question: “Am I dealing with a real person, and are they who they say they are?”
- KYC checks: Customer ID verification is a huge part of KYC (Know Your Customer) checks. Good banking fraud detection software should help with that.
- Real-time monitoring and alerts: Understanding how fraud happens at your bank is one thing. Setting up real-time monitoring and notifications is the next step.
- Machine learning suggestions: Fraudsters are adaptive. You must ensure your fraud detection software can also adapt to new attack vectors. This is where ML, or machine learning, can help suggest new risk rules tailored to your risk challenges.
The 9 Best Banking Fraud Detection Software
Disclaimer: Everything in this article was gleaned from online research and user reviews. We did not manually test the tools. However, we ensured the information was correct as of Q3 2022. Feel free to get in touch to request an update or correction.
SEON – Transparent, Modular, Powerful
You’ll benefit from analysis tools that extract data from a single email address, phone number, and IP address. You can also learn a ton about who you’re dealing with based on their social media presence, and configuration of software and hardware via device fingerprinting.
All that data is fed through customizable risk rules, which can also be suggested via a whitebox machine learning algorithm. The key here is that SEON gives banking risk managers an extra layer of data to gain full confidence in accepting or rejecting risky customers, which has a knock-on effect on fraud rates down the line.
SEON is one of the rare fraud detection tools to offer transparent pricing and a free trial, so you can immediately see how its features can help your neobank, challenger bank, or FI with existing clients including Raiffeisen Bank, Illimity, and Nubank.
- Alternative digital footprint analysis: SEON’s data enrichment methods make it ideal for markets where standard financial information is scarce.
- Reverse social media lookup: SEON scans 50+ social networks for customer data, allowing you to gain a precise picture of who you’re dealing with online.
- Modular, flexible integration: Modern banking companies can pick and choose the modules they need to complement their risk management strategy – or build an entirely new risk stack from scratch.
- Spot connections between accounts: Some ID verification and validation tools only point out suspicious profiles. With SEON, you can also spot hidden connections to take out fraud rings. Especially useful for neobanks who are growing via bonus and referral programs.
- Transparent pricing: In true SaaS fashion, SEON lets you pay per API call and cancel your contract at any time.
- No on-premise installation: While you have plenty of options on how to integrate SEON, it is only available as a third-party solution – exceptions are made if you only need the device fingerprinting module as an extra layer and request onsite installation.
- Not ideal for AML: SEON can help verify identities, but you won’t currently be able to check PEP or exclusion lists.
- Pay per API call with a $299 per month minimum. Book a live product demo to see how we can help your business.
Choose SEON If:
- You are a neobank or challenger bank that favors low friction for new account opening, without sacrificing peace of mind when it comes to mitigating risk.
SAS – The Analytics Legacy Leader
If you’ve worked in risk management (or any company that uses analytics) in the last ten to twenty years, chances are you’ve heard about SAS.
The Banking Analytics product of SAS is used by over 80,000 businesses in nearly 150 countries. In fact, more than 90% of the top 100 global banks are SAS customers.
So what does SAS do for banking fraud prevention exactly? Their framework is designed for anomaly detection to reduce risk and to consolidate your views of potential fraud. It is widely used in the BFSI sector (banking, financial services, and insurance), as it enables enterprise-wide monitoring from a single platform.
The features of its fraud detection platform include real-time transaction scoring and decisioning, blackbox machine learning, and alert management, all based on seamless integration of all your data, regardless of source or type.
While it was once the go-to platform for banking fraud detection, it seems to be increasingly replaced by – or at least augmented with – newer, more nimble anti-fraud software.
- Trustworthy name in BFSI: SAS used to be the go-to for banking fraud detection.
- Powerful analytics: The company is first and foremost an analytics company, so you can trust its prediction models.
- Documentation and tech support: Users report being extremely satisfied with the help they receive after implementing SAS.
- Outdated UX: SAS shows its age when it comes to the dashboard and user experience.
- Expensive: See below.
- Available upon request. However, online sources report prices from $9K to $64K per year, depending on the package you need.
Choose SAS If:
- You are a retail or traditional banking institution with an enterprise budget and strong compliance requirements.
ThreatMetrix – On-Premise or Cloud-Based FI Risk Management
Acquired in 2018 by the multinational analytics company LexisNexis Risk Solutions, ThreatMetrix is quickly becoming a fraud prevention leader for financial services, insurance, as well as pension companies and nonprofits.
LexisNexis currently helps more than 78% of Fortune 500 companies and plenty others, in 170+ countries.
If you already use other LexisNexis products, the integration with ThreatMetrix should be seamless (albeit not free). A good example would be the missing data enrichment feature, which you can purchase through Emailage.
In terms of risk rules, however, ThreatMetrix offers anything you may need, from behavior tracking to custom rules and machine learning suggestions – all available via API calls or on-premise installation.
- Large IP database: ThreatMetrix has one of the largest databases of blacklisted IP addresses.
- Graph visualization: Risk managers can explore connections between account holders’ details with a data visualization tool.
- On-premise deployment: Financial institutions who need to keep their tools locally can integrate ThreatMetrix on-premise.
- Opaque pricing: As is often the case in the world of banking fraud prevention software, you’ll have to jump through sales demo hoops before you can get a quote.
- Data enrichment as extra: You’ll need to purchase extra LexisNexis products, such as Emailage, to aggregate external user data.
- Available upon request.
Choose ThreatMetrix If:
- You want machine learning rules and on-premise installation as well as graph visualization for risk management.
Feedzai – AI Against Financial Crime
Trusted by banks such as Citi, Lloyds, and Santander, Feedzai is dedicated to protecting financial institutions in three ways: securing account openings, controlling transaction fraud, and stopping money laundering.
At the time of writing, the US-based fraud detection company protects a whopping 45% of the UK’s banking population and 55% of Canada’s.
Feedzai relies heavily on its open machine learning algorithms to mitigate complex financial crime, with native support for your own data science tools. The company claims it allows risk managers to create “hyper-granular profiles” for cards, terminals, devices, or IPs.
Last but not least, Feedzai’s AI system is even integrated into its case manager tool (to dispute financial crime cases) and its Genome tool, to visualize connections between accounts and attack vectors.
- Anti-fraud and compliance: The AML product suite allows you to screen for sanctions PEP lists and to monitor suspicious transactions.
- Financial institution specialists: Feedzai has positioned itself as the risk management solution for numerous retail, issuing, and acquiring banks.
- Overwhelming features: Feedzai is powerful and complex, which may come at the expense of an easier learning curve for risk managers.
- Pricey: Feedzai has an opaque pricing structure, but it’s understood to be at the higher end of the spectrum, targeting tier 1 retail banks and FIs.
- Unavailable online.
Choose Feedzai If:
- You are a medium to large financial institution with an interest in leveraging complex machine learning and AI for your risk strategy.
Experian Hunter – Application Fraud Detection
As a renowned UK credit scoring company, it makes complete sense for Experian to leverage its databases to offer identity verification services. It is exactly what its Hunter software does, with a focus on preventing application fraud in the banking world.
As Experian rightly puts it, the first and best strategy to reduce fraud losses is to identify criminals at the point of application. Their detection method is designed to be highly configurable, whether you’re a traditional retail bank or a challenger bank with low-friction needs.
And, of course, the key bonus is that you can integrate the application screening solution with other Experian products, such as the company’s renowned credit scoring tools.
Experian Hunter Pros
- Trustworthy name in BFSI: Experian is known for credit reports, and it’s a brand name anyone in the industry will be familiar with.
- Integrates with other Experian tools: You can link Hunter with CrossCore, for instance, the company’s behavioral biometrics solution – or its credit scoring tools, of course.
- Huge shared data lists: Hunter’s data sharing is based on Experian’s years of aggregating financial information.
Experian Hunter Cons
- Overwhelming number of products: Hunter is just one of the many products and services offered by Experian. The segmentation can sometimes be confusing, and you may need to investigate further before being 100% sure you’re selecting the right tool.
- Opaque pricing: See below.
Experian Hunter Pricing
- As with all other B2B Experian products, you’ll need to speak to a sales team to book a demo before you can get an idea of your quote.
Choose Experian Hunter If:
- You want to offer loans and link an application monitoring solution to Experian’s credit scoring tools.
ComplyAdvantage – API-Based KYC and AML
Banking fraud detection and compliance overlap, which is why one of ComplyAdvantage’s founders, Charles Delingpole, joined SEON’s Series A round. But where ComplyAdvantage really shines is in its ability to focus on AML while reducing fraud rates relating to money laundering.
ComplyAdvantage includes transaction monitoring, customer screening using sanction lists and PEP lists, and even checks based on the Financial Action Task Force to monitor adverse media.
- API integration: Integrate the tool via API, whether you need AML protection or customer screening.
- Free version: If you’re a startup, you’ll be happy to hear that you can deploy the company’s ComplyLaunch product (with limited features) for free.
- No data enrichment: ComplyAdvantage focuses on compliance rather than fraud detection, so you’re less likely to find features like digital footprint analysis and data enrichment.
- It starts with a completely free version called ComplyLaunch, but more robust checks need to come from their other (paid) solutions. Pricing is available upon request.
Choose ComplyAdvantage If:
- You’re a new banking fintech that needs a free AML solution for free as you scale.
iComply – KYC, AML, and KYB
iComply, also known as iComplyKYC, makes it clear from its name that its core product focuses on due diligence at the banking onboarding stage. It’s an all-in-one KYC and AML solution that can also help you screen for identity fraudsters at signup.
When it comes to risk management, you will get all the standard KYC and AML features such as watchlists, PEP, and adverse media checks, as well as automation tools to save you time when processing customer data.
- KYB tools: iComply gives you tools to verify customer identities but also those of businesses, to avoid working with fraudulent partners and companies.
- Opaque pricing: You need to jump on at least one discovery call before the pricing plans are revealed to you.
- You can calculate the price of your monthly KYC costs on the iComply website, but you’ll still need to book a demo to get a better understanding of the price structure.
Choose iComply If:
Ondato – Video Verification and Risk Management
A powerful video verification tool, Ondato does more than just identity verification or document verification and ensuring accurate selfie authentication. It’s a full KYC and AML solution that is designed to help with onboarding, business intelligence, and user base management.
Sure, it’s a bit light on fraud detection features, but many of the problems faced by banks overlap with fake and synthetic IDs. One key advantage, however, is the white label solution to deploy Ondato under your own company brand if needed.
- Video verification: Ondato offers robust selfie IDs and biometrics authentication.
- White label option: You can hide Ondato’s logo and name if you choose to.
- Opaque pricing: Another provider that won’t divulge its prices until you contact their sales team.
- No real-time data enrichment: However good Ondato is for onboarding, the user data doesn’t seem to be enriched to complete a full profile.
- Enterprise pricing is only available upon request but there are per-verification costs for KYC and KYB listed on the website, starting from $0.85 per check with a $570 monthly fee.
Choose Ondato if:
- The white label option is pretty handy if you want to display your own bank name on the onboarding pages.
Actico – Compliance and Digital Transformation
Another compliance tool whose features overlap with banking fraud prevention, Actico is the trusted solution by companies such as Santander, Volkswagen Financial Services and ING, among others.
You get KYC tools using risk scores and AML features such as PEP and sanction lists screening. If you’re a traditional bank still struggling to compete with neobanks, Actico also offers digital transformation services too.
- Powerful KYC and AML tools: You can perform all the checks you need to ensure some degree of compliance.
- Digital transformation toolset: Actico is well-positioned to help legacy banks transition into the digital age.
- Legacy tool: Actico serves traditional banks, and it shows. The UI feels a bit old-school and the real-time data enrichment features are lacking.
- Pricier end of the spectrum: However good Actico is for onboarding, the user data doesn’t seem to be enriched to complete a full profile.
- It’s only available upon request.
Choose Actico if:
- You are a traditional bank struggling with digital transformation and modern compliance.
What Are the Most Common Types of Fraud in Banking?
The greatest risk for banks, neobanks, and financial institutions is onboarding users who are not who they say they are. Fraudsters use stolen IDs and synthetic IDs to create accounts. This creates compliance issues (KYC and AML), which can have dramatic consequences in the long run.
Once fraudsters and criminals have created their accounts, they will commit loan fraud, launder money, and use the account as a bank drop to receive payment from nefarious activities.
Existing banking customers are also at risk of account takeover fraud, where fraudsters acquire their login credentials and drain the account.
It’s worth noting that banking fraud attacks are increasingly targeted at neobanks and challenger banks, who pride themselves on offering a frictionless customer experience. The easier it is to onboard and sign in, the higher the risk of fraudulent attacks.
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What Can Banking Fraud Detection Software Do?
There are three key goals of banking fraud detection software:
- Confirm a person’s identity: The onboarding process should only go through once you are certain that the person is real, and valuable for the financial institution after an identity verification process.
- Ensure compliance: Because the financial world is so heavily regulated, banking fraud detection software should help meet all regulatory requirements pertaining to PSD2 and SCA (strong customer authentication), CDD (customer due diligence), KYC (know your customer), and AML (anti-money laundering). Failing to perform the right AML checks is becoming increasingly dangerous and expensive as new laws and regulations are put in place.
- Protect customer accounts: Once customers have set up their accounts, it’s the bank’s job to ensure nobody else accesses them. Banking fraud detection software should therefore work both as an identification solution and as an authentication tool as well as flag suspicious transactions to spot a potential scam.
Roughly speaking, all three processes are performed by logging data, monitoring it, and investigating anomalies. Anomaly detection works by establishing a ground truth and looking for patterns (predictive analytics).
How risk managers deal with these patterns, however, varies depending on the kind of banking fraud detection software at their disposal.
Good banking fraud detection can also augment risk management and compliance in general terms, helping the organization save resources.
For example, consider neobank Hype’s adoption of SEON’s solutions, which allowed for streamlining onboarding with 90.06% auto-approvals without compromising safety. Customers, who appreciate a frictionless journey, now experience no obstacles in their experience, leading to a boost in satisfaction.
Different Types of Banking Fraud Detection Software
Banking fraud detection software comes in many shapes and forms. Here are the key types you should consider before deploying yours:
- In-house vs outsourced: Is it worth keeping the software on-premise? Or should you outsource it to a third-party, cloud-based vendor?
- Mature provider vs startup: The strategic maturity of a provider is worth considering depending on various factors such as ease of integration with modern platforms, ability to prove ROI based on historical results, length and price of the contract, etc.
- Static vs customizable transaction monitoring: While it’s important to monitor transactions, it should also be adjusted based on the institution’s risk appetite. This is only possible with fully customizable settings.
- Whitebox vs blackbox machine learning: Machine learning is an increasingly popular solution for discovering banking risk. However, not all algorithms are transparent about how they spot patterns. While some banking clients will prefer blackbox models that just work without tweaks, others will favor the extra control of a whitebox system – which should come with human-readable rules and explanations.
- Heavy friction vs lightweight user experience: A particular challenge for neobanks, who stake their reputation on offering an easy and intuitive user experience. How do you reduce risk without adding too many obstacles for your customers?
Choosing the Right Banking Fraud Detection System
Banking fraud detection software is never easy to select. This is doubly true in the banking vertical, where you must take into account compliance, the quality of your data, and the efficiency of the tools at your disposal – which are often unavailable to try before you buy.
Hopefully, this primer on the nine best-rated banking fraud detection software will give you a better idea of where to look, what kind of features will work for you, and whether your choice can help protect your financial institution, challenger bank, or neobank in the long run.
Frequently Asked Questions
Banking fraud detection software allows financial institutions to control who gets to open accounts on their platform, monitor the transactions, and ensure compliance with regulatory bodies.
Banking fraud detection software allows financial institutions to remain compliant with the law, protect their user accounts, and grow safely without onboarding criminals and fraudsters.
Investing in banking fraud detection software isn’t just a competitive advantage for financial institutions, neobanks, and challenger banks; it’s a legal requirement with regards to KYC, AML, and PSD2, among others. However, deploying the right tool can also help onboard more users with peace of mind, which can have a direct impact on growth and profitability.
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