# Sift vs Sumsub Comparison
---
## AI Generated Summary
- **G2 reviewers report** that Sift excels in user experience, with many praising its **intuitive interface** and seamless integration with various applications. Users appreciate how easy it is to navigate and input information, which significantly enhances their workflow.
- **Users say** that Sumsub offers a strong focus on customer identification and verification, with its technology effectively distinguishing real users from fraudulent ones. Reviewers highlight its **high success rate** in accurately verifying documents, making it a reliable choice for businesses concerned about fraud.
- **According to verified reviews** , Sift's implementation process is notably quick and straightforward. Users have mentioned that the initial setup was easy, often requiring minimal technical intervention, which allows teams to get up and running without significant delays.
- **Reviewers mention** that while Sumsub has a user-friendly interface, some users find it less efficient for complex workflows compared to Sift. The platform's **workflow builder** is appreciated, but there are indications that it may not cater to all specific needs as effectively as Sift does.
- **G2 reviewers highlight** that Sift has a higher overall satisfaction score, reflecting its strong market presence and user trust. With a substantial number of recent reviews, users feel confident in its ability to meet their fraud protection needs effectively.
- **Users report** that while both platforms provide quality support, Sift's support quality is often rated slightly lower than Sumsub's. However, Sift's ease of use and integration capabilities tend to outweigh this, making it a preferred choice for many users looking for a comprehensive fraud protection solution.



| | Sift | Sumsub | 
|---|---|---|
| **Star Rating** | 4.6 out of 5 | 4.6 out of 5 | 
| **Total Reviews** | 610 | 112 | 
| **Largest Market Segment** | Mid-Market (56.8% of reviews) | Small-Business (52.8% of reviews) | 
| **Entry Level Price** | $$ | Free Trial | 

---
## Top Pros & Cons

### Sift

Pros:
- Ease of Use (71 reviews)
- Fraud Prevention (71 reviews)

Cons:
- Inaccuracy (29 reviews)
- Lack of Clarity (20 reviews)

### Sumsub

Pros:
- Ease of Use (8 reviews)
- Verification Efficiency (8 reviews)

Cons:
- Verification Issues (7 reviews)
- Slow Performance (4 reviews)

---
## Ratings Comparison
| Rating | Sift | Sumsub | 
|---|---|---|
  | **Meets Requirements** | 9.0 (550 reviews) | 8.9 (103 reviews) | 
  | **Ease of Use** | 9.0 (561 reviews) | 9.1 (102 reviews) | 
  | **Ease of Setup** | 9.0 (387 reviews) | 8.8 (71 reviews) | 
  | **Ease of Admin** | 9.0 (193 reviews) | 9.0 (48 reviews) | 
  | **Quality of Support** | 9.0 (502 reviews) | 8.9 (98 reviews) | 
  | **Has the product been a good partner in doing business?** | 8.9 (191 reviews) | 9.1 (48 reviews) | 
  | **Product Direction (% positive)** | 9.4 (534 reviews) | 9.5 (102 reviews) | 

---
## Pricing

### Sift

#### Entry-Level Pricing

Plan: Volume-based pricing

Price: $$

Description: Volume-based pricing.


[Learn more about Sift](https://www.g2.com/products/sift-s-ai-powered-fraud-decisioning-platform-sift/reviews)

#### Free Trial

No

### Sumsub

#### Entry-Level Pricing

Plan: Enterprise - Custom

Price: Free Trial

Description: Take advantage of everything Sumsub’s all-in-one verification platform can offer. Verify documents, business entities, and transactions; review corner cases quickly; and customize verification flows for maximum pass rates worldwide.

Key Features:
-  Custom integration with the help of our solution architect
-  Your personal customer success manager
- Single sign-on (SSO)

[Browse all 3 editions](https://www.g2.com/products/sumsub/pricing)

#### Free Trial

Yes

---
## Features Comparison By Category

### Fraud Detection

| Product | Score | Reviews |
|---|---|---|
| **Sift** | 8.8/10 | 475 |
| **Sumsub** | 9.2/10 | 30 |

#### Detection

| Feature | Sift | Sumsub | 
|---|---|---|
| **Payment Verification** | Feature Not Available | 9.0 (26 reviews) | 
| **Bot Mitigation** | Feature Not Available | 9.0 (24 reviews) | 
| **Real-Time Monitoring** | 9.0 (427 reviews) | 9.5 (25 reviews) | 
| **Alerts** | 8.8 (413 reviews) | 9.3 (25 reviews) | 

#### Analysis 

| Feature | Sift | Sumsub | 
|---|---|---|
| **ID Analytics** | 8.9 (416 reviews) | 9.4 (28 reviews) | 
| **Intelligence Reporting** | 8.9 (417 reviews) | 9.5 (27 reviews) | 
| **Incident Reports** | 8.7 (407 reviews) | 8.8 (26 reviews) | 

#### Administration

| Feature | Sift | Sumsub | 
|---|---|---|
| **Fraud Markers** | 9.1 (416 reviews) | 9.2 (26 reviews) | 
| **Transaction Scoring** | 8.9 (419 reviews) | 8.9 (25 reviews) | 
| **Blacklisting** | 8.8 (413 reviews) | 9.3 (24 reviews) | 

#### Agentic AI - Fraud Detection

| Feature | Sift | Sumsub | 
|---|---|---|
| **Cross-system Integration** | 8.7 (83 reviews) | Not enough data | 
| **Adaptive Learning** | 8.7 (77 reviews) | Not enough data | 
| **Decision Making** | 9.0 (83 reviews) | Not enough data | 

### Address Verification

| Product | Score | Reviews |
|---|---|---|
| **Sift** | N/A | N/A |
| **Sumsub** | 8.9/10 | 36 |

#### Management

| Feature | Sift | Sumsub | 
|---|---|---|
| **Scheduled Data Checks** | Not enough data | 9.1 (30 reviews) | 
| **Reporting** | Not enough data | 8.9 (34 reviews) | 

#### Functionality

| Feature | Sift | Sumsub | 
|---|---|---|
| **Address Verification** | Not enough data | 8.7 (35 reviews) | 
| **Automation** | Not enough data | 9.2 (32 reviews) | 
| **Cleansing** | Not enough data | 8.7 (30 reviews) | 
| **International Verification** | Not enough data | 9.1 (31 reviews) | 

### Biometric Authentication

| Product | Score | Reviews |
|---|---|---|
| **Sift** | N/A | N/A |
| **Sumsub** | 9.4/10 | 24 |

#### Integration

| Feature | Sift | Sumsub | 
|---|---|---|
| **Uses Open Standards** | Not enough data | 8.9 (21 reviews) | 
| **Mobile SDK** | Not enough data | 8.9 (22 reviews) | 
| **Workforce Authentication** | Not enough data | 9.3 (19 reviews) | 
| **Customer Authentication** | Not enough data | 9.6 (22 reviews) | 

#### Administration

| Feature | Sift | Sumsub | 
|---|---|---|
| **Encryption** | Not enough data | 9.8 (20 reviews) | 
| **Audit Trails** | Not enough data | 9.5 (19 reviews) | 
| **Regulatory Compliance** | Not enough data | 9.7 (21 reviews) | 

### Risk-Based Authentication (RBA)

| Product | Score | Reviews |
|---|---|---|
| **Sift** | 9.0/10 | 193 |
| **Sumsub** | N/A | N/A |

#### Administration

| Feature | Sift | Sumsub | 
|---|---|---|
| **Bi-Directional Identity Synchronization** | Feature Not Available | Not enough data | 
| **Policy Management** | 8.9 (174 reviews) | Not enough data | 
| **Cloud Directory** | Feature Not Available | Not enough data | 
| **Application Integrations** | 9.1 (72 reviews) | Not enough data | 

### Age Verification

| Product | Score | Reviews |
|---|---|---|
| **Sift** | N/A | N/A |
| **Sumsub** | 9.2/10 | 29 |

#### Functionalities

| Feature | Sift | Sumsub | 
|---|---|---|
| **Authentication Methods** | Not enough data | 9.4 (26 reviews) | 
| **Online Age Verification** | Not enough data | 9.6 (27 reviews) | 
| **Age Estimation** | Not enough data | 9.4 (26 reviews) | 
| **Integrations and SDKs** | Not enough data | 9.1 (27 reviews) | 
| **In-person Age Verification** | Not enough data | 9.3 (23 reviews) | 
| **Liveness Check** | Not enough data | 9.4 (26 reviews) | 

#### Generative AI

| Feature | Sift | Sumsub | 
|---|---|---|
| **AI Image-to-Text** | Not enough data | 8.8 (20 reviews) | 

### Anti-Money Laundering (AML)

| Product | Score | Reviews |
|---|---|---|
| **Sift** | N/A | N/A |
| **Sumsub** | 9.0/10 | 32 |

#### Fraud Detection

| Feature | Sift | Sumsub | 
|---|---|---|
| **Name Matching** | Not enough data | 9.0 (31 reviews) | 
| **Watch List** | Not enough data | 9.1 (30 reviews) | 
| **Scoring** | Not enough data | 9.3 (29 reviews) | 
| **E-filing** | Not enough data | 8.8 (27 reviews) | 
| **Workflows and Alerts** | Not enough data | 9.0 (28 reviews) | 

#### Compliance

| Feature | Sift | Sumsub | 
|---|---|---|
| **Due Dilligence** | Not enough data | 9.2 (30 reviews) | 
| **Regulations and Jurisdictions** | Not enough data | 9.4 (30 reviews) | 
| **Internal Policies** | Not enough data | 9.4 (30 reviews) | 

#### Monitoring

| Feature | Sift | Sumsub | 
|---|---|---|
| **Models** | Not enough data | 9.2 (30 reviews) | 
| **Simuation** | Not enough data | 9.1 (29 reviews) | 
| **Transaction Monitoring** | Not enough data | 9.1 (29 reviews) | 
| **Segmentation** | Not enough data | 9.1 (29 reviews) | 
| **QA** | Not enough data | 9.0 (29 reviews) | 

#### Reporting

| Feature | Sift | Sumsub | 
|---|---|---|
| **Compliance Reports** | Not enough data | 9.0 (29 reviews) | 
| **Suspicious Activity** | Not enough data | 9.0 (29 reviews) | 
| **Real-Time Dashboards** | Not enough data | 9.3 (29 reviews) | 

#### Generative AI - Anti Money Laundering

| Feature | Sift | Sumsub | 
|---|---|---|
| **Risk Scoring** | Not enough data | Not enough data | 
| **Pattern Recognition** | Not enough data | Not enough data | 

#### Agentic AI - Anti Money Laundering

| Feature | Sift | Sumsub | 
|---|---|---|
| **Adaptive Learning** | Not enough data | Not enough data | 
| **Decision Making** | Not enough data | Not enough data | 

### Accounting & Finance

| Product | Score | Reviews |
|---|---|---|
| **Sift** | N/A | N/A |
| **Sumsub** | N/A | N/A |

#### Agentic AI - Accounting & Finance

| Feature | Sift | Sumsub | 
|---|---|---|
| **Autonomous Task Execution** | Not enough data | Not enough data | 

### Financial Fraud Prevention

| Product | Score | Reviews |
|---|---|---|
| **Sift** | 8.9/10 | 23 |
| **Sumsub** | N/A | N/A |

#### Transaction Monitoring - Financial Fraud Prevention

| Feature | Sift | Sumsub | 
|---|---|---|
| **Payment monitoring** | 9.1 (18 reviews) | Not enough data | 
| **Real-time risk monitoring** | 9.2 (21 reviews) | Not enough data | 
| **Threshold Management** | 9.0 (16 reviews) | Not enough data | 

#### Identity & Authentication - Financial Fraud Prevention

| Feature | Sift | Sumsub | 
|---|---|---|
| **Identity Verification** | 8.9 (19 reviews) | Not enough data | 
| **MFA** | 9.2 (16 reviews) | Not enough data | 

#### Behavioral & Analytics Detection - Financial Fraud Prevention

| Feature | Sift | Sumsub | 
|---|---|---|
| **Behavioral Analytics** | 8.8 (18 reviews) | Not enough data | 
| **Bot Detection** | 8.6 (16 reviews) | Not enough data | 

#### Audit & Compliance - Financial Fraud Prevention

| Feature | Sift | Sumsub | 
|---|---|---|
| **Audit Trail** | 8.2 (15 reviews) | Not enough data | 
| **Reporting** | 8.7 (19 reviews) | Not enough data | 

### Identity Verification

| Product | Score | Reviews |
|---|---|---|
| **Sift** | N/A | N/A |
| **Sumsub** | N/A | N/A |

#### Identity Verification Functions - Identity Verification

| Feature | Sift | Sumsub | 
|---|---|---|
| **Multi-Method Verification** | Not enough data | Not enough data | 
| **AI Document Check** | Not enough data | Not enough data | 
| **Biometric Face Match** | Not enough data | Not enough data | 
| **Integration Options** | Not enough data | Not enough data | 
| **Workflow Orchestration** | Not enough data | Not enough data | 

#### Risk & Fraud Prevention - Identity Verification

| Feature | Sift | Sumsub | 
|---|---|---|
| **Liveness Detection** | Not enough data | Not enough data | 
| **AI Risk Scoring** | Not enough data | Not enough data | 
| **Document Forensics** | Not enough data | Not enough data | 

#### Compliance & Governance - Identity Verification

| Feature | Sift | Sumsub | 
|---|---|---|
| **Standards Compliance** | Not enough data | Not enough data | 
| **AML/PEP Screening** | Not enough data | Not enough data | 
| **Global Coverage** | Not enough data | Not enough data | 

### E-commerce Fraud Protection

| Product | Score | Reviews |
|---|---|---|
| **Sift** | 8.8/10 | 283 |
| **Sumsub** | 9.4/10 | 12 |

#### Intelligence

| Feature | Sift | Sumsub | 
|---|---|---|
| **Transaction Scoring** | 8.9 (259 reviews) ✓ Verified | 9.2 (11 reviews) | 
| **Risk Assessment** | 9.0 (265 reviews) ✓ Verified | 9.7 (11 reviews) | 
| **Intelligence Reporting** | 8.8 (251 reviews) ✓ Verified | 9.5 (11 reviews) | 
| **ID Analytics** | 8.7 (252 reviews) ✓ Verified | 9.5 (11 reviews) | 

#### Detection

| Feature | Sift | Sumsub | 
|---|---|---|
| **Fraud Detection** | 9.0 (264 reviews) ✓ Verified | 9.7 (12 reviews) | 
| **Alerts** | 8.6 (241 reviews) ✓ Verified | 9.3 (12 reviews) | 
| **Real-Time Monitoring** | 8.9 (257 reviews) ✓ Verified | 9.4 (12 reviews) | 

#### Response

| Feature | Sift | Sumsub | 
|---|---|---|
| **Device Tracking** | 8.8 (258 reviews) ✓ Verified | 9.1 (11 reviews) | 
| **Fraud Markers** | 8.9 (255 reviews) ✓ Verified | 9.4 (12 reviews) | 
| **Blacklisting** | 8.8 (249 reviews) ✓ Verified | 9.7 (12 reviews) | 
| **Bot Mitigation** | 8.3 (227 reviews) | 9.6 (12 reviews) | 

---
## Categories
**Shared Categories (2):** [Fraud Detection Software](https://www.g2.com/categories/fraud-detection), [E-commerce Fraud Protection Software](https://www.g2.com/categories/e-commerce-fraud-protection)

**Unique to Sift (2):** [Risk-Based Authentication Software](https://www.g2.com/categories/risk-based-authentication-rba), [Financial Fraud Prevention](https://www.g2.com/categories/financial-fraud-prevention)

**Unique to Sumsub (5):** [Identity Verification Software](https://www.g2.com/categories/identity-verification), [Biometric Authentication Software](https://www.g2.com/categories/biometric-authentication), [Address Verification Tools](https://www.g2.com/categories/address-verification), [Anti-Money Laundering Software](https://www.g2.com/categories/anti-money-laundering), [Age Verification Software](https://www.g2.com/categories/age-verification)


---
## Reviewer Demographics

### By Company Size

| Segment | Sift | Sumsub | 
|---|---|---|
| **Small-Business** | 16.0% | 52.8% | 
| **Mid-Market** | 56.8% | 38.9% | 
| **Enterprise** | 27.2% | 8.3% | 

### By Industry

#### Sift

- **Financial Services:** 35.4%
- **Information Technology and Services:** 5.8%
- **Consumer Services:** 5.5%
- **Apparel & Fashion:** 4.4%
- **Leisure, Travel & Tourism:** 3.4%
- **Retail:** 3.1%
- **Computer & Network Security:** 2.6%
- **Internet:** 2.4%
- **Banking:** 2.4%
- **Security and Investigations:** 2.4%
- **Other:** 32.7%

#### Sumsub

- **Financial Services:** 52.8%
- **Gambling & Casinos:** 8.3%
- **Banking:** 5.6%
- **Information Technology and Services:** 5.6%
- **Accounting:** 4.6%
- **Computer Software:** 4.6%
- **Capital Markets:** 2.8%
- **Investment Management:** 1.9%
- **Consumer Services:** 1.9%
- **Computer Games:** 1.9%
- **Other:** 10.2%

---
## Alternatives

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---
## Top Discussions

### Sift

- Title: [How does Sift use machine learning to adapt to evolving fraud patterns?](https://www.g2.com/discussions/how-does-sift-use-machine-learning-to-adapt-to-evolving-fraud-patterns) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift’s machine learning approach is built around real-time risk evaluation, network intelligence, and continuous model refinement. Sift uses custom,..."
- Title: [How does Sift help detect and prevent account takeover attempts?](https://www.g2.com/discussions/how-does-sift-help-detect-and-prevent-account-takeover-attempts) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift’s Account Defense solution helps businesses detect and prevent account takeover by analyzing login and account activity with AI-powered insights,..."
- Title: [How does Sift help businesses protect the full customer journey from fraud?](https://www.g2.com/discussions/how-does-sift-help-businesses-protect-the-full-customer-journey-from-fraud) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift protects the full customer journey rather than a single fraud moment in isolation. The Sift platform spans account creation, login, transaction and..."
- Title: [How does Sift help reduce friction for trusted users while maintaining security?](https://www.g2.com/discussions/how-does-sift-help-reduce-friction-for-trusted-users-while-maintaining-security) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift reduces friction for trusted users by applying the right level of intervention based on risk. As users move through the journey, Sift evaluates each..."
- Title: [What is Sift best used for?](https://www.g2.com/discussions/what-is-sift-best-used-for) — 1 comment, 1 upvote *(includes official response)*
  > **Top comment:** "Sift is best used by digital businesses that need to manage fraud across account creation, login, payments, and post-transaction activity in one platform...."

### Sumsub

No discussions available for this product.

---
**Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/sift-s-ai-powered-fraud-decisioning-platform-sift-vs-sumsub)