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IBM Security Risk Based Authentication VS Sift

Compare IBM Security Risk Based Authentication VS Sift and see what are their differences

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Verify your customers in under 15 seconds anywhere in the world with a cutting-edge SaaS & API platform for Identity Verification and AML/KYC compliance. featured
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IBM Security Risk Based Authentication logo IBM Security Risk Based Authentication

IBM Security Risk Based Authentication Solution provides transparent evidence-based fraud protection coupled with user access management.

Sift logo Sift

Digital Trust & Safety enables your business to grow, innovate, introduce new products, features, and business models – without increased risk.
  • IBM Security Risk Based Authentication Landing page
    Landing page //
    2023-05-17
  • Sift Landing page
    Landing page //
    2023-04-30

IBM Security Risk Based Authentication features and specs

No features have been listed yet.

Sift features and specs

  • Comprehensive Fraud Detection
    Sift provides extensive fraud detection capabilities using machine learning, which helps businesses reduce fraudulent activities and associated costs.
  • Real-Time Analysis
    The platform offers real-time analysis, allowing businesses to make instant decisions and block fraudulent transactions as they occur.
  • User-Friendly Interface
    Sift features a user-friendly interface that makes it easier for teams to navigate and utilize the platform effectively, even without extensive technical knowledge.
  • Scalability
    Sift is designed to scale with your business, accommodating varying levels of transactional volume without compromising performance.
  • Comprehensive Reporting
    The platform offers detailed reporting and analytics, providing valuable insights into fraud patterns and helping businesses optimize their prevention strategies.

Possible disadvantages of Sift

  • Cost
    Sift can be expensive, especially for small businesses or startups with limited budgets, as the pricing is generally tailored toward larger enterprises.
  • Complex Implementation
    The initial setup and integration of Sift into existing systems can be complex and time-consuming, requiring technical expertise.
  • Learning Curve
    Despite its user-friendly interface, there is still a learning curve associated with understanding and maximizing the platform's capabilities.
  • Dependence on Data Quality
    The effectiveness of Sift's machine learning models depends heavily on the quality and volume of data provided, which means businesses need to ensure they have robust data collection practices.
  • Limited Customization
    Some users may find the level of customization and flexibility in Sift to be limited compared to other platforms, potentially restricting business-specific adaptations.

IBM Security Risk Based Authentication videos

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Sift videos

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🙀 Review - Scoopless Lift and Sift Cat Litter Box I Modified it after One Week of Usage

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  • Review - U.S. Army aviation - SIFT Test Preparation - Army Selection Instrument for Flight Testing

Category Popularity

0-100% (relative to IBM Security Risk Based Authentication and Sift)

IBM Security Risk Based Authentication

Sift

Identity And Access Management
100 100%
Identity And Access Management
0% 0
Fraud Prevention
7 7%
Fraud Prevention
93% 93
Identity Provider
100 100%
Identity Provider
0% 0
eCommerce
0 0%
eCommerce
100% 100

User comments

Share your experience with using IBM Security Risk Based Authentication and Sift. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Sift seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

IBM Security Risk Based Authentication mentions (0)

We have not tracked any mentions of IBM Security Risk Based Authentication yet. Tracking of IBM Security Risk Based Authentication recommendations started around Mar 2021.

Sift mentions (3)

  • Warning about centre com
    They may be using something like Sift for security checking and something of yours was flagged. Source: over 2 years ago
  • Does this idea exist? Thought? Any legal implications?
    But sorry to break it to you, this has been done at a really large scale already although most consumers are not aware. One big player here is https://sift.com/ Almost every major retailer uses their service exactly for the reasons you mention. Source: almost 4 years ago
  • LPT: You have a secret 'consumer score' that acts like your credit score; You can be denied the ability to return products, charged higher prices than other people, and more, all based on this score.
    Reddit, for one. A pretty big list on their homepage. Source: almost 4 years ago

What are some alternatives?

When comparing IBM Security Risk Based Authentication and Sift, you can also consider the following products

Duo Security - Duo Security provides cloud-based two-factor authentication. Duo’s technology can be deployed to protect users, data, and applications from breaches, credential theft, and account takeover.

Kount - eCommerce fraud detection & prevention

Okta Adaptive Multi-Factor Authentication - Multi-factor authentication is becoming the standard. Secure your apps and VPN with strong MFA for adaptive, risk-based authentication.

Riskified - eCommerce fraud prevention solution and chargeback protection guarantee for online merchants. Find out how we can help your company boost revenue from online sales using our machine-learning powered eCommerce fraud protection software.

Symantec VIP - Symantec VIP provides user friendly two-factor authentication services to protect networks, applications, and data.

Signifyd - Signifyd is a SaaS-based, enterprise-grade fraud technology solution for e-commerce stores.

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