# Mastercard Identity Review 360 vs Sift Comparison
---
## AI Generated Summary
- **G2 reviewers report** that Sift excels in user experience, with many users praising its **ease of use** and seamless integration with various applications. One user highlighted how the platform is &quot;simple to use&quot; and allows for quick access to important information, making daily tasks more efficient.
- **Users say** that Mastercard Identity Review 360 provides a strong centralized view of identity data, which enhances the clarity and efficiency of manual reviews. Reviewers appreciate how this feature speeds up fraud assessments, allowing them to make informed decisions without switching between multiple tools.
- **According to verified reviews** , Sift has a notable advantage in implementation speed, with users noting that the initial setup was &quot;perfectly easy&quot; and integrated smoothly with existing systems like Okta. This quick onboarding process is a significant benefit for teams looking to minimize downtime.
- **Reviewers mention** that while Mastercard Identity Review 360 offers robust fraud detection capabilities, some users feel that it could improve in terms of **real-time monitoring**. Although it provides reliable insights, a few users expressed a desire for more immediate alerts to enhance their response times.
- **G2 reviewers highlight** that Sift&#39;s reporting features are user-friendly, with one user noting the effectiveness of its fraud reports in visualizing user locales and fraud scores. This clarity helps teams quickly identify and address potential issues, making it a valuable tool for fraud management.
- **Users report** that while both platforms have strong support, Sift&#39;s quality of support is slightly lower than Mastercard Identity Review 360&#39;s. Users of Mastercard noted that the support team is responsive and helpful, which can be crucial when navigating complex fraud scenarios.



| | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Star Rating** | 4.6 out of 5 | 4.6 out of 5 | 
| **Total Reviews** | 70 | 610 | 
| **Largest Market Segment** | Mid-Market (52.2% of reviews) | Mid-Market (56.8% of reviews) | 
| **Entry Level Price** | No pricing available | $$ | 

---
## Top Pros & Cons

### Mastercard Identity Review 360

Pros:
- Ease of Use (17 reviews)
- Accuracy (15 reviews)

Cons:
- Inaccuracy (6 reviews)
- Search Functionality (5 reviews)

### Sift

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

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

---
## Ratings Comparison
| Rating | Mastercard Identity Review 360 | Sift | 
|---|---|---|
  | **Meets Requirements** | 9.1 (67 reviews) | 9.0 (550 reviews) | 
  | **Ease of Use** | 9.2 (68 reviews) | 9.0 (561 reviews) | 
  | **Ease of Setup** | 9.1 (31 reviews) | 9.0 (387 reviews) | 
  | **Ease of Admin** | 8.8 (18 reviews) | 9.0 (193 reviews) | 
  | **Quality of Support** | 8.9 (65 reviews) | 9.0 (502 reviews) | 
  | **Has the product been a good partner in doing business?** | 9.2 (18 reviews) | 8.9 (191 reviews) | 
  | **Product Direction (% positive)** | 8.9 (63 reviews) | 9.4 (534 reviews) | 

---
## Pricing

### Mastercard Identity Review 360

#### Entry-Level Pricing

No pricing available

#### Free Trial

No information available

### 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

---
## Features Comparison By Category

### Fraud Detection

| Product | Score | Reviews |
|---|---|---|
| **Mastercard Identity Review 360** | 8.4/10 | 11 |
| **Sift** | 8.8/10 | 475 |

#### Detection

| Feature | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Payment Verification** | 9.6 (8 reviews) | Feature Not Available | 
| **Real-Time Monitoring** | 8.7 (10 reviews) | 9.0 (427 reviews) | 
| **Alerts** | 8.3 (9 reviews) | 8.8 (413 reviews) | 

#### Analysis 

| Feature | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **ID Analytics** | 8.9 (9 reviews) | 8.9 (416 reviews) | 
| **Intelligence Reporting** | 8.3 (9 reviews) | 8.9 (417 reviews) | 
| **Incident Reports** | 8.5 (8 reviews) | 8.7 (407 reviews) | 

#### Administration

| Feature | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Fraud Markers** | 8.7 (9 reviews) | 9.1 (416 reviews) | 
| **Transaction Scoring** | 8.8 (10 reviews) | 8.9 (419 reviews) | 
| **Blacklisting** | 7.8 (9 reviews) | 8.8 (413 reviews) | 

#### Agentic AI - Fraud Detection

| Feature | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Cross-system Integration** | 7.6 (7 reviews) | 8.7 (83 reviews) | 
| **Adaptive Learning** | 8.3 (8 reviews) | 8.7 (77 reviews) | 
| **Decision Making** | 8.1 (7 reviews) | 9.0 (83 reviews) | 

### Risk-Based Authentication (RBA)

| Product | Score | Reviews |
|---|---|---|
| **Mastercard Identity Review 360** | N/A | N/A |
| **Sift** | 9.0/10 | 193 |

#### Administration

| Feature | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Bi-Directional Identity Synchronization** | Not enough data | Feature Not Available | 
| **Policy Management** | Not enough data | 8.9 (174 reviews) | 
| **Cloud Directory** | Not enough data | Feature Not Available | 
| **Application Integrations** | Not enough data | 9.1 (72 reviews) | 

### Accounting &amp; Finance

| Product | Score | Reviews |
|---|---|---|
| **Mastercard Identity Review 360** | N/A | N/A |
| **Sift** | N/A | N/A |

#### Agentic AI - Accounting &amp; Finance

| Feature | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Autonomous Task Execution** | Not enough data | Not enough data | 

### Financial Fraud Prevention

| Product | Score | Reviews |
|---|---|---|
| **Mastercard Identity Review 360** | N/A | N/A |
| **Sift** | 8.9/10 | 23 |

#### Transaction Monitoring - Financial Fraud Prevention

| Feature | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Payment monitoring** | Not enough data | 9.1 (18 reviews) | 
| **Real-time risk monitoring** | Not enough data | 9.2 (21 reviews) | 
| **Threshold Management** | Not enough data | 9.0 (16 reviews) | 

#### Identity &amp; Authentication - Financial Fraud Prevention

| Feature | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Identity Verification** | Not enough data | 8.9 (19 reviews) | 
| **MFA** | Not enough data | 9.2 (16 reviews) | 

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

| Feature | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Behavioral Analytics** | Not enough data | 8.8 (18 reviews) | 
| **Bot Detection** | Not enough data | 8.6 (16 reviews) | 

#### Audit &amp; Compliance - Financial Fraud Prevention

| Feature | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Audit Trail** | Not enough data | 8.2 (15 reviews) | 
| **Reporting** | Not enough data | 8.7 (19 reviews) | 

### E-commerce Fraud Protection

| Product | Score | Reviews |
|---|---|---|
| **Mastercard Identity Review 360** | 9.3/10 | 57 |
| **Sift** | 8.8/10 | 283 |

#### Intelligence

| Feature | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Transaction Scoring** | 9.4 (50 reviews) ✓ Verified | 8.9 (259 reviews) ✓ Verified | 
| **Risk Assessment** | 9.4 (53 reviews) ✓ Verified | 9.0 (265 reviews) ✓ Verified | 
| **Intelligence Reporting** | 9.0 (49 reviews) ✓ Verified | 8.8 (251 reviews) ✓ Verified | 
| **ID Analytics** | 9.1 (52 reviews) ✓ Verified | 8.7 (252 reviews) ✓ Verified | 

#### Detection

| Feature | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Fraud Detection** | 9.5 (49 reviews) ✓ Verified | 9.0 (264 reviews) ✓ Verified | 
| **Alerts** | 9.3 (41 reviews) ✓ Verified | 8.6 (241 reviews) ✓ Verified | 
| **Real-Time Monitoring** | 9.0 (41 reviews) | 8.9 (257 reviews) ✓ Verified | 

#### Response

| Feature | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Device Tracking** | 9.4 (44 reviews) ✓ Verified | 8.8 (258 reviews) ✓ Verified | 
| **Fraud Markers** | 9.3 (44 reviews) ✓ Verified | 8.9 (255 reviews) ✓ Verified | 
| **Blacklisting** | Feature Not Available | 8.8 (249 reviews) ✓ Verified | 
| **Bot Mitigation** | 9.1 (41 reviews) ✓ Verified | 8.3 (227 reviews) | 

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


**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)


---
## Reviewer Demographics

### By Company Size

| Segment | Mastercard Identity Review 360 | Sift | 
|---|---|---|
| **Small-Business** | 20.3% | 16.0% | 
| **Mid-Market** | 52.2% | 56.8% | 
| **Enterprise** | 27.5% | 27.2% | 

### By Industry

#### Mastercard Identity Review 360

- **Financial Services:** 56.5%
- **Retail:** 14.5%
- **Computer Software:** 2.9%
- **Consumer Services:** 2.9%
- **Furniture:** 2.9%
- **Accounting:** 1.4%
- **Apparel &amp; Fashion:** 1.4%
- **Arts and Crafts:** 1.4%
- **Banking:** 1.4%
- **Computer &amp; Network Security:** 1.4%
- **Other:** 13.0%

#### Sift

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

---
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---
## Top Discussions

### Mastercard Identity Review 360

No discussions available for this product.

### 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...."

---
**Source:** [G2.com](https://www.g2.com) | [Comparison Page](https://www.g2.com/compare/mastercard-identity-review-360-vs-sift-s-ai-powered-fraud-decisioning-platform-sift)

