# Best Enterprise E-commerce Fraud Protection Software

  *By [Subhransu Sahu](https://research.g2.com/insights/author/subhransu-sahu)*

   Products classified in the overall E-commerce Fraud Protection category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business E-commerce Fraud Protection to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business E-commerce Fraud Protection category.

In addition to qualifying for inclusion in the E-commerce Fraud Protection Software category, to qualify for inclusion in the Enterprise Business E-commerce Fraud Protection Software category, a product must have at least 10 reviews left by a reviewer from an enterprise business.




  ## How Many E-commerce Fraud Protection Software Products Does G2 Track?
**Total Products under this Category:** 248

  
## How Does G2 Rank E-commerce Fraud Protection Software Products?

**Why You Can Trust G2's Software Rankings:**

- 30 Analysts and Data Experts
- 5,200+ Authentic Reviews
- 248+ Products
- Unbiased Rankings

G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category.

  
  
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---

  ## What Are the Top-Rated E-commerce Fraud Protection Software Products in 2026?
### 1. [Mastercard Identity Review 360](https://www.g2.com/products/mastercard-identity-review-360/reviews)
  Ekata is a powerful identity verification and fraud detection and prevention platform designed to help businesses in the ecommerce, financial services and payments industries verify and authenticate the identities of their customers. With Ekata, businesses can confidently onboard new customers, prevent fraud, and ensure compliance with regulations. Ekata's Pro Insight is a comprehensive data analytics platform that empowers businesses to gain a deeper understanding of their customers' identities, behaviors, and preferences. With advanced analytics tools, including dashboards, visualizations, and reports, businesses can uncover key insights from their customer data and optimize their acquisition and retention strategies. With the Ekata Identity Engine, data from various sources is combined to create a unified view of each customer, while advanced machine learning and data modeling capabilities enable businesses to build predictive models for informed decision-making. In addition to Pro Insight, Ekata offers a suite of powerful APIs designed to help businesses verify and authenticate customer identities and mitigate fraud. These APIs include: • Account Opening API - Verifies new account applicants' identities, determines fraud risk and reduces onboarding friction, leading to improved customer acquisition rates, mitigating promotion abuse, and maintaining the businesses reputation. • Transaction Risk API - Detects potential fraud in real-time during transactions, decreasing chargebacks and losses, preventing fraudulent transactions and reducing false declines. • Address Risk API - Helps businesses validate and assess the risk associated with an address, reducing the chances of fraudulent activities related to fake or high-risk addresses while identifying low risk geographic zones to streamline the checkout process. • Phone Intelligence API - Provides real-time access to data on a phone number, enabling businesses to verify the phone number's owner and assess the risk associated with it, deterring fraudulent transactions, expediting low-risk sign-ups and simplifying sign-up flows. With Ekata, businesses can access high-quality, global identity data and verification solutions to help them drive growth, reduce fraud, and comply with regulatory requirements. Ekata's products are trusted by businesses around the world, from startups to Fortune 500 companies, and are backed by a team of experienced data scientists and customer support specialists.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 70
**How Do G2 Users Rate Mastercard Identity Review 360?**

- **ID Analytics:** 9.1/10 (Category avg: 8.9/10)
- **Transaction Scoring:** 9.4/10 (Category avg: 9.0/10)
- **Intelligence Reporting:** 9.0/10 (Category avg: 9.0/10)
- **Quality of Support:** 8.9/10 (Category avg: 9.2/10)

**Who Is the Company Behind Mastercard Identity Review 360?**

- **Seller:** [Mastercard](https://www.g2.com/sellers/mastercard)
- **Year Founded:** 1966
- **HQ Location:** Purchase, NY
- **Twitter:** @Mastercard (489,961 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/mastercard/ (47,338 employees on LinkedIn®)
- **Ownership:** NYSE - New York Stock Exchange

**Who Uses This Product?**
  - **Who Uses This:** Risk Investigator
  - **Top Industries:** Financial Services, Retail
  - **Company Size:** 51% Mid-Market, 27% Enterprise


#### What Are Mastercard Identity Review 360's Pros and Cons?

**Pros:**

- Ease of Use (17 reviews)
- Accuracy (15 reviews)
- Identity Verification (15 reviews)
- Fraud Detection (13 reviews)
- Fraud Prevention (12 reviews)

**Cons:**

- Inaccuracy (6 reviews)
- Search Functionality (5 reviews)
- Dashboard Issues (4 reviews)
- Insufficient Data (4 reviews)
- Limited Customization (4 reviews)

### 2. [Sift](https://www.g2.com/products/sift-s-ai-powered-fraud-decisioning-platform-sift/reviews)
  Sift is the leading fraud prevention platform delivering digital trust to 700+ global brands, allowing them to grow confidently by stopping fraud while enabling excellence in customer experience. Backed by a global data network of over one trillion annual events, Sift helps companies convert risk into revenue and scale without compromise. Brands including Hertz, Yelp, and Poshmark rely on Sift to unlock growth and deliver seamless consumer experiences. Visit us at sift.com


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 593
**How Do G2 Users Rate Sift?**

- **ID Analytics:** 8.7/10 (Category avg: 8.9/10)
- **Transaction Scoring:** 8.9/10 (Category avg: 9.0/10)
- **Intelligence Reporting:** 8.8/10 (Category avg: 9.0/10)
- **Quality of Support:** 9.0/10 (Category avg: 9.2/10)

**Who Is the Company Behind Sift?**

- **Seller:** [Sift's Fraud Prevention Platform](https://www.g2.com/sellers/sift-s-fraud-prevention-platform)
- **Company Website:** https://sift.com/platform
- **Year Founded:** 2011
- **HQ Location:** San Francisco, CA
- **Twitter:** @GetSift (9,485 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/getsift/ (308 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** Risk Investigator, Fraud Analyst
  - **Top Industries:** Financial Services, Information Technology and Services
  - **Company Size:** 57% Mid-Market, 27% Enterprise


#### What Are Sift's Pros and Cons?

**Pros:**

- Fraud Prevention (80 reviews)
- Ease of Use (77 reviews)
- Fraud Detection (54 reviews)
- Data Analysis (50 reviews)
- Features (49 reviews)

**Cons:**

- Inaccuracy (30 reviews)
- Lack of Clarity (21 reviews)
- Not User-Friendly (20 reviews)
- Complexity (19 reviews)
- False Positives (19 reviews)

### 3. [TruValidate](https://www.g2.com/products/truvalidate/reviews)
  TransUnion’s IDVision with iovation fraud and identity suite of solutions unite both consumer and device identities to detect threats across markets while ensuring friction-right user experiences. IDVision with iovation fuse traditional data science with machine learning to provide businesses unique insights about consumer transactions, safeguarding tens of millions of transactions each day.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 72
**How Do G2 Users Rate TruValidate?**

- **ID Analytics:** 8.6/10 (Category avg: 8.9/10)
- **Transaction Scoring:** 8.6/10 (Category avg: 9.0/10)
- **Intelligence Reporting:** 8.8/10 (Category avg: 9.0/10)
- **Quality of Support:** 9.0/10 (Category avg: 9.2/10)

**Who Is the Company Behind TruValidate?**

- **Seller:** [TransUnion](https://www.g2.com/sellers/transunion)
- **HQ Location:** Chicago, Illinois
- **Twitter:** @TransUnion (32,392 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/4310/ (16,754 employees on LinkedIn®)
- **Ownership:** NYSE:TRU
- **Total Revenue (USD mm):** $2,656

**Who Uses This Product?**
  - **Top Industries:** Financial Services, Insurance
  - **Company Size:** 50% Mid-Market, 47% Small-Business


#### What Are TruValidate's Pros and Cons?

**Pros:**

- Identity Verification (4 reviews)
- Easy Integrations (3 reviews)
- Security (3 reviews)
- Accuracy (2 reviews)
- Detection Efficiency (2 reviews)

**Cons:**

- Improvement Needed (2 reviews)
- Poor Documentation (2 reviews)
- Complexity (1 reviews)
- Complexity Issues (1 reviews)
- Complex Usability (1 reviews)

### 4. [Riskified](https://www.g2.com/products/riskified/reviews)
  Founded in 2013, Riskified is a trusted partner in fraud prevention and risk management, enhancing performance and driving favorable business outcomes for ecommerce enterprises. We fundamentally embrace continuous improvement and optimization in tackling complex business challenges for our clients, often leading to technological breakthroughs and some of the most advanced solutions in the market. For example, we pioneered the use of AI to combat ecommerce fraud, and over the past decade have continuously introduced cutting-edge solutions to solve additional challenges beyond payment fraud, including solving for policy abuse, account takeovers, automations for chargeback management, and introducing adaptive checkout flows. These offerings were enabled by the invention of machine learning models to detect policy abuse, self-optimizing machine learning models, and turning an identity resolution capability into an interactive visualization engine for clients.


  **Average Rating:** 4.4/5.0
  **Total Reviews:** 209
**How Do G2 Users Rate Riskified?**

- **ID Analytics:** 8.5/10 (Category avg: 8.9/10)
- **Transaction Scoring:** 8.6/10 (Category avg: 9.0/10)
- **Intelligence Reporting:** 8.5/10 (Category avg: 9.0/10)
- **Quality of Support:** 9.2/10 (Category avg: 9.2/10)

**Who Is the Company Behind Riskified?**

- **Seller:** [Riskified](https://www.g2.com/sellers/riskified)
- **Company Website:** https://www.riskified.com
- **Year Founded:** 2013
- **HQ Location:** New York, NY
- **Twitter:** @Riskified (1,825 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2821604/ (699 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Retail, Apparel & Fashion
  - **Company Size:** 50% Mid-Market, 33% Small-Business


#### What Are Riskified's Pros and Cons?

**Pros:**

- Fraud Prevention (6 reviews)
- Efficiency (5 reviews)
- Fraud Detection (5 reviews)
- Analytics (2 reviews)
- Ease of Use (2 reviews)

**Cons:**

- Expensive (2 reviews)
- False Positives (2 reviews)
- Improvement Needed (2 reviews)
- Lack of Clarity (2 reviews)
- False Alarms (1 reviews)

### 5. [SEON](https://www.g2.com/products/seon/reviews)
  SEON is the AI command center for real-time fraud prevention and AML compliance. We help digital businesses stop fraud, reduce risk, and protect revenue with 900+ real-time, first-party data signals that enrich profiles, provide context, and direct action—all from a single platform. Unlike vendors that rely on stale third-party data, SEON analyzes digital footprints, device intelligence, and AML data to deliver faster, more accurate decisions. Go live in as little as 14 days, expand to new markets in under a month, and access flexible tools like machine learning scores and customizable rules to match any risk strategy. Whether you're launching new products or scaling globally, SEON gives you the data, speed, and expertise to stay ahead of evolving threats.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 371
**How Do G2 Users Rate SEON?**

- **ID Analytics:** 9.0/10 (Category avg: 8.9/10)
- **Transaction Scoring:** 9.3/10 (Category avg: 9.0/10)
- **Intelligence Reporting:** 8.9/10 (Category avg: 9.0/10)
- **Quality of Support:** 9.3/10 (Category avg: 9.2/10)

**Who Is the Company Behind SEON?**

- **Seller:** [SEON](https://www.g2.com/sellers/seon-e8fd038f-c191-491e-82f6-93a8719d8209)
- **Company Website:** https://seon.io/
- **Year Founded:** 2017
- **HQ Location:** Austin, Texas, United States
- **Twitter:** @seon_tech (1,881 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/10173953/ (377 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** Fraud Analyst, Analyst
  - **Top Industries:** Gambling & Casinos, Financial Services
  - **Company Size:** 51% Mid-Market, 35% Small-Business


#### What Are SEON's Pros and Cons?

**Pros:**

- Ease of Use (29 reviews)
- Fraud Prevention (25 reviews)
- Customer Support (23 reviews)
- Features (20 reviews)
- User Interface (20 reviews)

**Cons:**

- Limited Customization (9 reviews)
- Data Inaccuracy (8 reviews)
- Improvement Needed (8 reviews)
- Learning Difficulty (8 reviews)
- Complexity (7 reviews)

### 6. [Xelix](https://www.g2.com/products/xelix/reviews)
  Since 2018, Xelix has been a pioneer in the Accounts Payable audit and controls space, leveraging AI to detect payment errors and fraud, automate statement reconciliations, and streamline AP Helpdesk operations. Our platform utilises thousands of large language models (LLMs) to support agentic and adaptive workflows, freeing AP resource to focus on strategic initiatives. Our machine learning models ensure exceptional accuracy, while our use of best-in-class AI allows rapid, efficient processing of large data sets. Trusted by global enterprises like AstraZeneca, BAT, and Virgin Atlantic, we process over 115 million invoices annually and audit more than $750 billion in spend. Designed with an intuitive user interface, the solution is easy for finance teams to adopt, and our seamless integration with ERP and finance systems ensures quick, straightforward deployment.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 51
**How Do G2 Users Rate Xelix?**

- **ID Analytics:** 9.6/10 (Category avg: 8.9/10)
- **Transaction Scoring:** 9.3/10 (Category avg: 9.0/10)
- **Intelligence Reporting:** 9.3/10 (Category avg: 9.0/10)
- **Quality of Support:** 9.8/10 (Category avg: 9.2/10)

**Who Is the Company Behind Xelix?**

- **Seller:** [Xelix](https://www.g2.com/sellers/xelix)
- **Year Founded:** 2018
- **HQ Location:** London, United Kingdom
- **Twitter:** @Xelix_AI (168 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/xelix. (161 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Automotive, Retail
  - **Company Size:** 85% Enterprise, 13% Mid-Market


### 7. [Signifyd](https://www.g2.com/products/signifyd/reviews)
  Signifyd is a commerce protection provider that addresses fraud and abuse challenges at key conversion points across the ecommerce shopper journey from account creation to checkout to return request. We help merchants decide when it is appropriate for a shopper to take a certain action – like creating an account, completing a transaction, or requesting a refund. We can do so accurately because we have seen 98% of shoppers previously across the thousands of ecommerce storefronts we protect. Signifyd customers typically see a lift of 5 - 9% in revenue by letting more good shoppers through. We are so confident in our decisions that we back order approvals with a guarantee, which gives our merchants the confidence to automate fulfillment knowing that if a chargeback does occur, we will reimburse them 100%.


  **Average Rating:** 4.6/5.0
  **Total Reviews:** 331
**How Do G2 Users Rate Signifyd?**

- **ID Analytics:** 8.9/10 (Category avg: 8.9/10)
- **Transaction Scoring:** 9.1/10 (Category avg: 9.0/10)
- **Intelligence Reporting:** 9.1/10 (Category avg: 9.0/10)
- **Quality of Support:** 9.0/10 (Category avg: 9.2/10)

**Who Is the Company Behind Signifyd?**

- **Seller:** [Signifyd](https://www.g2.com/sellers/signifyd)
- **Company Website:** https://www.signifyd.com
- **Year Founded:** 2011
- **HQ Location:** San Jose, California
- **Twitter:** @signifyd (1,825 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/2007443/ (496 employees on LinkedIn®)

**Who Uses This Product?**
  - **Who Uses This:** General Manager, Ecommerce Manager
  - **Top Industries:** Retail, Apparel & Fashion
  - **Company Size:** 52% Small-Business, 45% Mid-Market


#### What Are Signifyd's Pros and Cons?

**Pros:**

- Fraud Prevention (51 reviews)
- Efficiency (35 reviews)
- Fraud Detection (31 reviews)
- Fraud Protection (23 reviews)
- Ease of Use (20 reviews)

**Cons:**

- Poor Customer Support (10 reviews)
- Limited Customization (9 reviews)
- Improvement Needed (8 reviews)
- Expensive (7 reviews)
- False Alarms (7 reviews)

### 8. [Kount](https://www.g2.com/products/kount/reviews)
  Kount is trust and safety technology. Businesses pick the solutions that are relevant to their unique challenges, and we help them grow with confidence — no matter the industry. We use data-driven decisions, advanced machine learning, and decades of experience to overcome the challenges that commonly plague today’s growing businesses. The result is greater confidence in every interaction.


  **Average Rating:** 4.8/5.0
  **Total Reviews:** 111
**How Do G2 Users Rate Kount?**

- **ID Analytics:** 9.2/10 (Category avg: 8.9/10)
- **Transaction Scoring:** 9.3/10 (Category avg: 9.0/10)
- **Intelligence Reporting:** 9.2/10 (Category avg: 9.0/10)
- **Quality of Support:** 9.5/10 (Category avg: 9.2/10)

**Who Is the Company Behind Kount?**

- **Seller:** [Kount, an Equifax Company](https://www.g2.com/sellers/kount-an-equifax-company)
- **Year Founded:** 2007
- **HQ Location:** Boise, ID
- **LinkedIn® Page:** https://www.linkedin.com/company/270986/ (110 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Retail, Apparel & Fashion
  - **Company Size:** 52% Mid-Market, 36% Small-Business


#### What Are Kount's Pros and Cons?

**Pros:**

- Fraud Prevention (8 reviews)
- Detection Efficiency (7 reviews)
- Protection (7 reviews)
- Efficiency (6 reviews)
- Fraud Detection (6 reviews)

**Cons:**

- Inaccuracy (6 reviews)
- False Positives (5 reviews)
- Expensive (4 reviews)
- False Alarms (4 reviews)
- Complexity (3 reviews)

### 9. [Prove](https://www.g2.com/products/prove/reviews)
  Prove makes identity work – verifying real people, businesses and agents in real time without friction or guesswork. Trusted by 19 of the top 20 U.S. banks and more than 1,500 leading brands worldwide, Prove helps the biggest names in banking, fintech, crypto, gaming, commerce, insurance, and healthcare grow with confidence. Prove’s identity verification and authentication solutions help organizations onboard more users, reduce fraud, and deliver seamless experiences across channels, turning identity into an enabler of customer acquisition and long-term growth. With Prove, identity is no longer a question; it’s proven. The foundational layer of Prove's solutions is the Prove Identity Graph - a global identity fabric, built by fusing identity, authentication keys, and behavioral signals into one persistent, deterministic network. It’s already operating at a massive scale: nearly half of the world’s population – 2.5 of the 5.5 billion adults in the world, 10 billion devices, 15 billion emails, in 227 countries and territories. The Identity Graph powers Prove Solutions that build trust and loyalty across the customer journey: - Welcome: Prove Pre-Fill® eliminates form friction by securely pre-filling trusted identity data, while Prove Identity® verifies users using only a phone - driving 79% faster onboarding and 35% lower drop-off on average. - Know: Prove Verified Users®, Prove Unified Auth®, and Prove Identity Manager® enable persistent, passive, and proven cross-channel authentication - so our clients can recognize trusted users across sessions and channels without reintroducing friction. - Grow: ProveX℠ enables enterprises to instantly access verified data and credentials from trusted partners, while maintaining confidence across every interaction. Learn more at www.prove.com.


  **Average Rating:** 4.5/5.0
  **Total Reviews:** 44
**How Do G2 Users Rate Prove?**

- **ID Analytics:** 8.8/10 (Category avg: 8.9/10)
- **Transaction Scoring:** 9.6/10 (Category avg: 9.0/10)
- **Intelligence Reporting:** 8.3/10 (Category avg: 9.0/10)
- **Quality of Support:** 9.2/10 (Category avg: 9.2/10)

**Who Is the Company Behind Prove?**

- **Seller:** [Prove](https://www.g2.com/sellers/prove)
- **Company Website:** https://www.prove.com/
- **Year Founded:** 2008
- **HQ Location:** New York , New York
- **Twitter:** @ProveIdentity (2,620 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/proveidentity/ (586 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Financial Services
  - **Company Size:** 39% Mid-Market, 34% Enterprise


#### What Are Prove's Pros and Cons?

**Pros:**

- Ease of Use (7 reviews)
- Identity Verification (6 reviews)
- Security (6 reviews)
- Customer Focus (4 reviews)
- Easy Integrations (4 reviews)

**Cons:**

- Insufficient Information (3 reviews)
- Poor Customer Support (3 reviews)
- Complexity (2 reviews)
- Expensive (2 reviews)
- Inconvenience (2 reviews)

### 10. [SAS Fraud, Anti-Money Laundering & Security Intelligence](https://www.g2.com/products/sas-sas-fraud-anti-money-laundering-security-intelligence/reviews)
  What is SAS Fraud, Anti-Money Laundering & Security Intelligence? Software solutions in the SAS Fraud, Anti-Money Laundering and Security Intelligence suite deliver fast, on-target insights through AI and analytics so organizations can address their fraud, improper payments, financial crimes, public safety and investigational challenges more productively.


  **Average Rating:** 4.2/5.0
  **Total Reviews:** 42
**How Do G2 Users Rate SAS Fraud, Anti-Money Laundering & Security Intelligence?**

- **ID Analytics:** 5.4/10 (Category avg: 8.9/10)
- **Transaction Scoring:** 5.8/10 (Category avg: 9.0/10)
- **Intelligence Reporting:** 5.8/10 (Category avg: 9.0/10)
- **Quality of Support:** 8.1/10 (Category avg: 9.2/10)

**Who Is the Company Behind SAS Fraud, Anti-Money Laundering & Security Intelligence?**

- **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2)
- **Company Website:** https://www.sas.com/
- **Year Founded:** 1976
- **HQ Location:** Cary, NC
- **Twitter:** @SASsoftware (60,974 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,519 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Banking, Financial Services
  - **Company Size:** 50% Enterprise, 32% Mid-Market


#### What Are SAS Fraud, Anti-Money Laundering & Security Intelligence's Pros and Cons?

**Pros:**

- Ease of Use (10 reviews)
- Fraud Prevention (9 reviews)
- Efficiency (8 reviews)
- Data Analytics (7 reviews)
- Decision Making (7 reviews)

**Cons:**

- Learning Difficulty (9 reviews)
- Difficulty (8 reviews)
- Expensive (7 reviews)
- Learning Curve (7 reviews)
- Complexity (6 reviews)

### 11. [Arkose Labs](https://www.g2.com/products/arkose-labs/reviews)
  Bad actors. Fraudsters. Scammers. They’re relentless, but so are enterprises. Arkose Labs helps global enterprises—including 2 of the top 4 banks, tech giants, social media platforms, airlines, etc.—protect their users, revenue and reputation from sophisticated attacks. Arkose Labs understands the challenges enterprises face: fake account creation inflating metrics, account takeover eroding trust, and SMS toll fraud draining resources. That’s why Arkose Labs provides a unified platform that disrupts attacks, stops bots, sabotages bad actors’ profits, and ensures a seamless experience for genuine users. Its innovative solution offers Arkose Device ID, Phishing Protection, Email Intelligence and Bot Manager, working together to tackle fraud at every stage, starting at the account level. Plus Arkose Labs shares data and risk signals transparently that can be elsewhere in internal flows.


  **Average Rating:** 4.7/5.0
  **Total Reviews:** 54
**How Do G2 Users Rate Arkose Labs?**

- **ID Analytics:** 8.3/10 (Category avg: 8.9/10)
- **Transaction Scoring:** 8.3/10 (Category avg: 9.0/10)
- **Intelligence Reporting:** 8.3/10 (Category avg: 9.0/10)
- **Quality of Support:** 9.6/10 (Category avg: 9.2/10)

**Who Is the Company Behind Arkose Labs?**

- **Seller:** [Arkose Labs](https://www.g2.com/sellers/arkose-labs)
- **Company Website:** https://www.arkoselabs.com/
- **Year Founded:** 2016
- **HQ Location:** San Mateo, California
- **Twitter:** @ArkoseLabs (3,133 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/3719686/ (250 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Financial Services, Computer Games
  - **Company Size:** 56% Enterprise, 35% Mid-Market


#### What Are Arkose Labs's Pros and Cons?

**Pros:**

- Customer Support (4 reviews)
- Protection (4 reviews)
- Security (4 reviews)
- Analytics (3 reviews)
- Dashboard Usability (2 reviews)

**Cons:**

- Captcha Issues (1 reviews)
- Complex Pricing (1 reviews)
- Complex Setup (1 reviews)
- Detection Issues (1 reviews)
- False Alarms (1 reviews)

### 12. [Outseer Fraud Manager](https://www.g2.com/products/outseer-fraud-manager/reviews)
  At a Glance • 15 Billion+ transactions and digital interactions protected a year • Protects the user's digital journey at every step, in multiple channels: Web, mobile, Phone, IVR, ATM, Branch and Open Banking (API) • Outseer Intelligent Platform™ helps orchestrate all your fraud prevention efforts effectively • Highest reported fraud detection with lowest intervention rates in the industry • Flexible deployment options: on premise or Cloud Outseer Fraud Manager™ Helping You Protect Every Step of the Customer Digital Journey The dramatic increase in consumer adoption of digital interactions and transactions during the pandemic has prompted organizations everywhere to accelerate their digital transformation efforts. Whether it’s web, mobile, ATMs, call centers, IVR systems, or open APIs, speed and convenience are now simply expected. At the same time, fraud continues to proliferate, with cybercriminals leveraging phishing, account takeover, man-in--the-browser, APP scams and other advanced attacks to gain unauthorized access to customer accounts. The significant rise and reach of data breaches has also exposed mass sets of data and customer credentials that are then used for account takeover. A new data breach is announced weekly. In fact, there were 4,145 publicly disclosed breaches that exposed over 22 billion records in 2021. Outseer Intelligent Platform™ which underlies Outseer Fraud Manager provides comprehensive fraud protection across the digital journey, streamline fraud operations and lower fraud losses all while maintaining seamless user experience which in turn drives increased revenue and profitable growth. At the core of the platform is the Outseer Risk Engine™, built for precision detection, utilizing the most effective signals to detect and prevent fraudulent activity. Our predictive algorithms work in real-time to analyze hundreds of signals coming from the Outseer Global Data Network™, our Partners, and our customers. How It Works Outseer Fraud Manager is powered by the Outseer Risk Engine™ that accurately assesses the risk associated with each transaction and digital interaction during the user digital journey. By applying risk-based approach, only small number of activities or transactions are asked for additional authentication that can be done using the out of the box step up authentication options or by leveraging the organization authentication tools. Outseer Fraud Manager orchestration capabilities allow organizations to share third party signals with Outseer Risk Engine to get an integrated risk score. Outseer Risk Engine™ The Outseer Risk Engine, which is at the core of the Outseer Intelligent Platform,™ is built for precision detection. The Outseer Risk Engine analyzes hundreds of signals coming from the Outseer Global Data Network™, our Partners and our Customers, and uses predictive algorithms to detect and prevent fraud in real-time. It uses an advanced machine learning statistical approach to calculating the risk score. This approach looks at the conditional probability of each event to evaluate if its most likely genuine or fraudulent given the known facts or predictors. All available factors are taken into consideration but weighted according to relevance; the most predictive factors contribute more heavily to the score. The predictive weighting calculations are updated daily based on authentication results and case management feedback. Behavioral Profiling Our behavioral profiling compares current activity with established customer behavior to detect deviations from normal that may be indicative of fraud. Multiple parameters are examined including frequency, time of day, and type of activity. For example: Are these payment types and associated transaction attributes consistent with typical transactions for this user? Outseer Global Data Network™ Outseer Fraud Manager uniquely benefits from data signals contributed by the Outseer Global Data Network – a globally shared, fraud intelligence consortium that gathers data from transactions spanning thousands of companies in numerous industries around the world. When a member of the network marks an activity as “Confirmed Fraud” / “Confirmed Genuine” in the case management application the associated signals are shared across the network. When an activity is attempted and includes one of the signals from the Outseer Global Data Network the risk is automaticallyadjusted, delivering smarter risk decisions. Device Profiling Outseer’s device profiling capabilities allow you to assess whether a customer’s device is different than one usually used to do business with your organization, or whether it has been connected to known fraud. Parameters analyzed include IP address and geolocation, operating system, browser type, and other device settings. In many cases, account takeover attacks are conducted from fraudsters devices with the genuine user credentials hence accurate device identification and profiling of known devices for a user is key to mitigate account takeover. Outseer device profiling and device identification capabilities use unsupervised machine learning algorithm to calculate an accurate assurance level that reflects the probability the user used the device in the past. Read more in our datasheet.


  **Average Rating:** 4.3/5.0
  **Total Reviews:** 22
**How Do G2 Users Rate Outseer Fraud Manager?**

- **Quality of Support:** 8.5/10 (Category avg: 9.2/10)

**Who Is the Company Behind Outseer Fraud Manager?**

- **Seller:** [Outseer](https://www.g2.com/sellers/outseer)
- **HQ Location:** Bedford, US
- **Twitter:** @OutseerCo (123 Twitter followers)
- **LinkedIn® Page:** https://www.linkedin.com/company/outseer/ (249 employees on LinkedIn®)

**Who Uses This Product?**
  - **Top Industries:** Information Technology and Services, Banking
  - **Company Size:** 83% Enterprise, 10% Mid-Market



    ## What Is E-commerce Fraud Protection Software?
  [E-Commerce Software](https://www.g2.com/categories/e-commerce)
  ## What Software Categories Are Similar to E-commerce Fraud Protection Software?
    - [Anti-Money Laundering Software](https://www.g2.com/categories/anti-money-laundering)
    - [Fraud Detection Software](https://www.g2.com/categories/fraud-detection)
    - [Identity Verification Software](https://www.g2.com/categories/identity-verification)

  
---

## How Do You Choose the Right E-commerce Fraud Protection Software?

### What You Should Know About E-commerce Fraud Protection Software

### E-commerce fraud protection software buying insights at a glance

[E-commerce fraud protection software](https://www.g2.com/categories/e-commerce-fraud-protection) helps online merchants, financial institutions, and digital businesses detect, prevent, and respond to fraudulent activity across transactions, account access, and identity verification. As digital commerce continues to expand and fraud tactics grow more sophisticated, this category has become critical infrastructure for any revenue team that cannot afford chargebacks, account takeovers, or the long-term damage of accepting bad orders. 

The best e-commerce fraud protection software combines machine learning models, device intelligence, behavioral signals, and real-time decisioning to stop fraud before it reaches fulfillment while keeping checkout friction low for legitimate customers. Many buyers also evaluate[](https://www.g2.com/categories/identity-verification)[identity verification](https://www.g2.com/categories/identity-verification) and[bot detection & mitigation](https://www.g2.com/categories/bot-detection-and-mitigation) software in parallel, as these categories address the same threat surface at different points in the customer journey.

Buyers across financial services, retail, apparel, travel, and gaming rely on e-commerce fraud prevention software to automate manual review queues, reduce false positive rates, and protect revenue without adding operational headcount. Common use cases include chargeback dispute management, promo abuse prevention, account takeover detection, identity verification at onboarding, and real-time transaction scoring. 

Teams that implement these tools consistently report reclaimed hours from manual review, higher order approval rates for good customers, and measurable reductions in fraud-related losses. The right e-commerce fraud detection software typically pays for itself quickly, especially for merchants facing elevated chargeback rates or operating in high-risk verticals. Many organizations deploy these tools as a layer on top of their[](https://www.g2.com/categories/payment-processing)[payment processing](https://www.g2.com/categories/payment-processing) infrastructure and alongside their [e-commerce platform](https://www.g2.com/categories/e-commerce-platforms), making integration compatibility a key evaluation criterion.

Pricing varies significantly based on transaction volume, the number of fraud signals required, and whether the vendor charges per decision, per review, or as a percentage of recovered revenue. Chargeback-focused platforms often use a success-based model tied to dispute wins, while device intelligence and identity verification tools tend to price on API call volume or monthly active users. Enterprise deployments with custom risk rules, dedicated implementation support, and SLA guarantees command higher rates, while SMB-oriented tools offer flat-rate tiers. 

Evaluating total cost of ownership means factoring in integration effort, false positive costs (i.e., lost revenue from declined good orders), and ongoing rule-tuning requirements. Teams building a more comprehensive access and identity strategy may also find overlap with[](https://www.g2.com/categories/customer-identity-and-access-management)[customer identity & access management (CIAM)](https://www.g2.com/categories/customer-identity-and-access-management) and[](https://www.g2.com/categories/risk-based-authentication)[risk-based authentication](https://www.g2.com/categories/risk-based-authentication) software, depending on how their fraud stack is architected.

### **Top 5 FAQs from software buyers**

- What features should I look for in the best e-commerce fraud protection software?
- How does e-commerce fraud detection software score transactions in real time without adding checkout friction?
- What is e-commerce fraud protection software, and how does it differ from a basic payment gateway's built-in fraud filters?
- How do e-commerce fraud prevention software platforms handle chargeback disputes and guarantee programs?
- How long does implementation take, and what level of technical expertise is required to tune fraud rules?

G2's top-rated E-commerce Fraud Protection Software includes  [Sift](https://www.g2.com/products/sift-digital-trust-safety-sift/reviews), [Mastercard Identity Review 360](https://www.g2.com/products/mastercard-identity-review-360/reviews), [Signifyd](https://www.g2.com/products/signifyd/reviews), [NoFraud](https://www.g2.com/products/nofraud/reviews), and [Chargeflow](https://www.g2.com/products/chargeflow-inc-chargeflow/reviews). [(Source 2)](https://company.g2.com/news/g2-winter-2026-reports)

### What are the top-reviewed AI Agent Builders on G2?

[Sift](https://www.g2.com/products/sift-digital-trust-safety-sift/reviews)

- **Number of Reviews:** 307
- **Satisfaction:** 98
- **Market Presence:** 70
- **G2 Score:** 84

[Mastercard Identity Review 360](https://www.g2.com/products/mastercard-identity-review-360/reviews)

- **Number of Reviews:** 59
- **Satisfaction:** 71
- **Market Presence:** 95]
- **G2 Score:** 83

[Signifyd](https://www.g2.com/products/signifyd/reviews)

- **Number of Reviews:** 311
- **Satisfaction:** 88
- **Market Presence:** 79
- **G2 Score:** 83

[NoFraud](https://www.g2.com/products/nofraud/reviews)

- **Number of Reviews:** 208
- **Satisfaction:** 90
- **Market Presence:** 60
- **G2 Score:** 75

[Chargeflow](https://www.g2.com/products/chargeflow-inc-chargeflow/reviews)

- **Number of Reviews:** 37
- **Satisfaction:** 81
- **Market Presence:** 52
- **G2 Score:** 67

**Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports))

**Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports))

**G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports))

Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..))

### What I Often See in E-Commerce Fraud Protection Software

#### **Feedback Pros: What Users Consistently Appreciate**

- **Machine learning models surface suspicious signals and reduce manual transaction review**
- _"I use Fingerprint primarily for its ability to add a crucial layer of fraud prevention on the web stores I manage, helping to identify suspicious behavior beyond the site's native risk analysis. Its ability to recognize returning devices, even when users change IPs or attempt to check out with different emails, has been particularly valuable for identifying patterns tied to fraudulent orders. I appreciate the visibility it provides when reviewing potentially risky activities, allowing us to see if multiple checkout attempts are tied to the same device, which boosts our confidence in decision-making. Fingerprint has improved our process by adding context across sessions, helping us identify card-testing behavior and significantly reducing the time spent manually investigating suspicious activity. The additional context helps us avoid guesswork, ensuring we catch actual fraud attempts while making our fulfillment process smoother."_ - [Daniel Becerra,](https://www.g2.com/products/fingerprintjs-fingerprint/reviews/fingerprint-review-12405335) Fingerprint Review
- **Seamless API integration into existing checkout and payment workflows with minimal friction**
- _"What I like most about Shufti Pro is how easy and intuitive the platform is to use. The interface is clean and straightforward, which makes it simple for our team to get started without a steep learning curve. Integration with our existing systems was smooth, and the API worked well within our workflow. I also appreciate how it streamlines identity and document verification, speeding up customer onboarding and reducing friction during the signup process. Overall, it has helped us handle compliance requirements more efficiently while maintaining a seamless user experience."_ - [Miluska Oré](https://www.g2.com/products/shufti/reviews/shufti-review-12402832), Shufti Review  
- **Responsive support teams engage directly during setup and ongoing rule tuning**
- _"Customer support has been responsive and knowledgeable, helping resolve our questions quickly and making the onboarding process smooth. Chargeflow offers a strong set of features without feeling overwhelming, covering everything needed for effective chargeback management."_ - [Verified User](https://www.g2.com/products/chargeflow-inc-chargeflow/reviews/chargeflow-review-12093588), Chargeflow Review

#### **Cons: Where Many Platforms Fall Short**

- **False positives occasionally decline legitimate orders, causing lost revenue and customer friction**
- _"One area that could be improved is the complexity of setup and integration. It takes time to fine-tune rules and connect with existing systems. Another challenge is balancing strict fraud detection with minimizing false positives; sometimes legitimate transactions get flagged, which can frustrate customers. Reporting could also be more customizable to make insights easier to tailor for different teams."_ - [Hilla Filla](https://www.g2.com/products/dynamics-365-fraud-protection/reviews/dynamics-365-fraud-protection-review-12298141), Dynamics 365 Fraud Protection Review 
- **Advanced rule customization requires significant technical effort and ongoing maintenance**
- _"One notable drawback is that manual reviews can sometimes take longer during busy periods, which may cause minor delays in order processing. Furthermore, the platform would benefit from offering more advanced customization of rules and more detailed reporting options, which would enhance its appeal for power users."_ - [Verified User](https://www.g2.com/products/clearsale/reviews/clearsale-review-12190401), ClearSale Review 
- **Pricing structure becomes costly at scale, especially for high-volume merchants with thin margins**
- _"While the identification accuracy is strong, pricing can scale quickly depending on traffic volume, which may be a consideration for high-traffic campaigns or large e-commerce clients. It requires careful forecasting to avoid unexpected cost increases."_ - [Mayank Modi](https://www.g2.com/products/fingerprintjs-fingerprint/reviews/fingerprint-review-12347984), Fingerprint Review 

### My Expert Takeaway on E-commerce fraud protection software

E-commerce fraud protection software delivers its greatest value when teams treat it as a living system rather than a one-time configuration. The best ecommerce fraud prevention software has matured well beyond rule-based blocklists; today’s leading platforms combine device fingerprinting, behavioral analytics, machine learning models, and chargeback automation into cohesive risk infrastructure.

High-performing teams get the most from e-commerce fraud detection software when they invest in calibration, not just deployment. Out-of-the-box models capture a significant share of obvious fraud, but the merchants who see the highest approval rates and lowest false-positive rates are those who feed the model signals, dispute outcomes, manual review decisions, and customer contact data to sharpen it over time. Power users in Financial Services, Retail, and Apparel consistently highlight the value of real-time decisioning that doesn't sacrifice legitimate revenue. Several reviewers from Retail and Consumer Goods merchants specifically call out the reduction in manual review queues as transformative, freeing operations teams to focus on customer experience improvements rather than order screening. Teams using a connected [order management system](https://www.g2.com/categories/order-management) report faster feedback loops between fulfillment data and fraud model updates, significantly accelerating calibration.

Two patterns stand out across high-growth verticals. First, merchants in Gambling, Travel, and high-velocity e-commerce who face elevated fraud rates tend to prioritize platform flexibility, the ability to build and modify custom risk rules without engineering cycles. Second, teams in Financial Services and Banking frequently cite identity verification quality and regulatory readiness as selection criteria, not just fraud hit rates. 

This bifurcation explains why the market supports distinct platform types: transaction-focused tools (Signifyd, NoFraud) that optimize order approval rates, device intelligence platforms (Fingerprint) that protect account-level flows, [fraud detection](https://www.g2.com/categories/fraud-detection) tools that operate at the network and behavioral layer, and chargeback recovery tools (Chargeflow) that operate downstream of the transaction. The quality of support earns strong scores across reviews, which matters; implementation complexity and ongoing rule tuning mean that vendor responsiveness is not a nice-to-have but a material factor in whether teams achieve full ROI.

### E-commerce fraud protection software FAQs

#### How do you choose e-commerce fraud prevention software?

Choosing the right e-commerce fraud prevention software depends on your transaction volume, risk profile, technical resources, and how much manual review your team can sustain. Buyers typically evaluate platforms across several dimensions:

- Detection methods, whether the platform uses machine learning, rules-based logic, device fingerprinting, or a combination
- Order approval rate vs. fraud rate trade-off: how well the tool minimizes false positives without letting bad orders through
- Chargeback liability, whether the vendor offers a financial guarantee on approved orders
- Integration depth, compatibility with your existing payment stack, OMS, or CRM
- Ease of rule customization, whether risk teams can tune models without engineering cycles
- Support quality, responsiveness during implementation, and ongoing escalations

The best e-commerce fraud protection software balances automated decisioning with enough transparency for your team to understand why orders are approved or declined, and to adjust when your fraud patterns change.

#### How do you prevent fraud in e-commerce?

Preventing fraud in e-commerce requires a layered approach that addresses risk at multiple points in the customer journey, from account creation and login through checkout and post-purchase disputes.

Key prevention strategies include:

- Device intelligence and fingerprinting to detect repeat fraudsters across sessions
- Behavioral analytics to flag anomalies in how users interact with checkout flows
- Identity verification at account creation or high-risk transaction thresholds
- Real-time transaction scoring using machine learning models trained on fraud patterns
- Chargeback monitoring to identify patterns tied to specific SKUs, geographies, or customer segments

Platforms purpose-built for e-commerce fraud prevention, such as Sift, Signifyd, NoFraud, Riskified, and Forter, combine several of these layers into a single decisioning engine, reducing reliance on manual review while maintaining high approval rates for legitimate customers.

#### What is the best anti-fraud system for medium-sized e-commerce businesses?

Medium-sized e-commerce businesses typically need a fraud prevention platform that offers strong automation, a manageable implementation lift, and pricing that scales with transaction volume without requiring enterprise-level contracts.

Platforms commonly evaluated by mid-market merchants include:

- [Signifyd](https://www.g2.com/products/signifyd/reviews) offers a chargeback guarantee and automated order decisioning suited for merchants with established order volumes.
- [NoFraud](https://www.g2.com/products/nofraud/reviews) provides real-time fraud decisions with a financial guarantee, designed to minimize manual review for growing retail operations.
- [Sift](https://www.g2.com/products/sift-digital-trust-safety-sift/reviews) combines transaction fraud, account takeover, and dispute management in a single platform, often used by mid-market digital commerce teams.
- [ClearSale](https://www.g2.com/products/clearsale/reviews) specializes in fraud protection, focusing on approval rate optimization, particularly for merchants concerned about false positives.
- [SEON.](https://www.g2.com/products/seon-fraud-fighters/reviews)[Fraud Fighters](https://www.g2.com/products/seon-fraud-fighters/reviews) offers flexible, modular fraud detection with transparent scoring logic, well-suited for teams that want customization without heavy implementation requirements.

The best fit depends on your order mix, chargeback history, and whether you prioritize a hands-off automated approach or a more configurable rules engine.

#### What are the top e-commerce fraud prevention tools for large businesses?

Large e-commerce operations require fraud prevention platforms that can handle high transaction volumes, support complex risk rule logic across multiple geographies, and integrate with enterprise-grade payment and order management infrastructure.

Tools frequently used by large-scale merchants and platforms include:

- [Sift](https://www.g2.com/products/sift-digital-trust-safety-sift/reviews) is widely used by high-volume digital businesses for transaction fraud, account security, and dispute management at scale.
- [Forter](https://www.g2.com/products/forter/reviews) provides real-time identity-based fraud prevention with a chargeback guarantee, built for enterprise e-commerce and marketplace platforms.
- [Riskified](https://www.g2.com/products/riskified/reviews) offers machine learning-driven order decisioning and a chargeback guarantee, with deep integrations for large retail and luxury commerce operations.
- [Signifyd](https://www.g2.com/products/signifyd/reviews) supports enterprise merchants with automated order protection, chargeback coverage, and global fraud network data.
- [Mastercard Identity Review 360](https://www.g2.com/products/mastercard-identity-review-360/reviews) provides identity verification and fraud intelligence, backed by Mastercard’s global transaction network, and is suited for large financial services and commerce platforms.
- [Kount](https://www.g2.com/products/kount/reviews), an Equifax company offering identity trust and fraud prevention for high-volume merchants that require deep data enrichment.

Enterprise buyers should prioritize platforms that offer dedicated implementation support, SLA-backed response times, and the ability to customize decisioning logic for specific verticals or market segments.

#### What’s the best e-commerce fraud protection for small online stores?

Small online stores need fraud protection that is affordable, easy to implement without a dedicated technical team, and capable of making accurate fraud decisions out of the box , without requiring extensive rule tuning.

Platforms commonly used by small merchants include:

- [NoFraud](https://www.g2.com/products/nofraud/reviews) provides automated fraud screening with a financial guarantee and minimal setup requirements, making it accessible for smaller operations.
- [Chargeflow](https://www.g2.com/products/chargeflow-inc-chargeflow/reviews) automates chargeback dispute management, helping small merchants recover revenue without dedicating staff to dispute workflows.
- [Token of Trust](https://www.g2.com/products/token-of-trust/reviews) offers identity verification and buyer trust tools designed for smaller stores that need compliance-ready verification without complex integration.
- [SEON](https://www.g2.com/products/seon-fraud-fighters/reviews)[Fraud Fighters](https://www.g2.com/products/seon-fraud-fighters/reviews) offers modular fraud detection with pay-as-you-go pricing, making it viable for merchants with lower transaction volumes.
- [Fingerprint](https://www.g2.com/products/fingerprintjs-fingerprint/reviews) delivers accurate device identification to prevent promo abuse and account fraud, with a straightforward API setup suited to lean technical teams.

For small stores, the most important factors are transparent pricing, quick time-to-value, and reliable customer support during onboarding.

#### Which fraud protection software is best for mobile e-commerce?

Mobile e-commerce introduces distinct fraud vectors, including emulator-based attacks, SIM swapping, promo abuse via multiple device registrations, and account takeover via credential stuffing in mobile apps. The best ecommerce fraud detection software for mobile environments addresses these risks at the device and behavioral layer, not just at transaction time.

Platforms with strong mobile fraud prevention capabilities include:

- [Fingerprint](https://www.g2.com/products/fingerprintjs-fingerprint/reviews) provides highly accurate device identification for mobile browsers and native apps, making it effective for detecting repeat fraudsters and promo abusers across devices.
- [Sift](https://www.g2.com/products/sift-digital-trust-safety-sift/reviews) covers mobile account takeover and payment fraud with behavioral signals designed for mobile-first digital products.
- [Sumsub](https://www.g2.com/products/sumsub/reviews) offers mobile-optimized identity verification and KYC flows, useful for platforms that need to verify users during mobile onboarding.
- [Veriff](https://www.g2.com/products/veriff/reviews) provides AI-powered identity verification with a mobile-native experience, commonly used for onboarding verification in mobile commerce and fintech apps.
- [Prove](https://www.g2.com/products/prove/reviews) specializes in phone-based identity verification, using carrier data to authenticate users in mobile checkout and account creation flows.

Mobile fraud prevention works best when device intelligence, behavioral signals, and identity verification are layered together, rather than relying on any single signal to make a decision.

### Sources

1. [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw)
2. [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports)

Researched By: [Subhransu Sahu](https://research.g2.com/insights/author/subhransu-sahu)

Last updated on March 16, 2026