Websites using Sift
Description of Sift: Sift is a CA-based fraud prevention company.
Sift is used by 0.03% of websites in the Analytics category.
Business and Finance is the most popular main category among the websites using Sift.
Business is the most popular subcategory among the websites that are using Sift.
The technologies that are most often used together with Sift are Google Analytics, jQuery, Google Workspace, Google Tag Manager, Lodash, Underscore.js, Cloudflare, Bootstrap, Facebook, Google Font API.
Our AI based recommender engine (trained on 100 million data points) suggests that websites using Sift may also be interested in using these other technologies: Heap, Stripe, Ahoy, Google Analytics Enhanced eCommerce, CIVIC, hCaptcha, parcel, Segment, gunicorn, Stamped.
Top IAB Industry Verticals using Sift
Top 10 technologies that are most often used together with Sift
Technologies that are most interesting for website using Sift, as determined by our AI recommender
| Technology | AI Recommendation Score | Website |
|---|
| Heap | 0.29 | http://heapanalytics.com |
| Stripe | 0.28 | http://stripe.com |
| Ahoy | 0.28 | https://github.com/ankane/ahoy |
| Google Analytics Enhanced eCommerce | 0.22 | https://developers.google.com/analytics/devguides/collection/analyticsjs/enhanced-ecommerce |
| CIVIC | 0.21 | https://www.civicuk.com/cookie-control |
| hCaptcha | 0.19 | https://www.hcaptcha.com/ |
| parcel | 0.17 | https://parceljs.org/ |
| Segment | 0.17 | https://segment.com |
| gunicorn | 0.16 | http://gunicorn.org |
| Stamped | 0.15 | https://stamped.io/ |
Distribution of domains using Sift over IAB1 verticals
Introduction to Sift
Sift is a cloud-based software solution that uses machine learning algorithms to detect and prevent fraudulent activity on a website or application. It analyzes user behavior and assigns a risk score to each user interaction, enabling businesses to block fraudulent actions in real-time. Sift also provides detailed insights and analytics to help businesses understand and mitigate fraud risks.
Practical Applications
of Sift
Sift is a technology that can be used in different practical applications such as:
1. Fraud detection: Sift can be used to detect fraud in online transactions by analyzing patterns and behavior of users and flagging suspicious activities.
2. Content moderation: Sift can help in moderating user-generated content on websites and social media platforms by detecting and filtering inappropriate content like hate speech, harassment, and spam.
3. E-commerce optimization: Sift can be used by e-commerce websites to optimize their product recommendations and personalize their marketing campaigns based on user behavior and purchase history.
4. Risk management: Sift can be used by financial institutions to manage risk by detecting and preventing fraudulent activities like money laundering, account takeovers, and identity theft.
5. Cybersecurity: Sift can be used to detect and prevent cyber attacks by analyzing network traffic and identifying malicious activity in real-time.
Benefits and Advantages of Sift
- Sift technology helps businesses and organizations to detect and prevent fraud more effectively.
- Sift's machine learning algorithms can analyze large amounts of data in real-time, providing faster and more accurate fraud detection.
- Sift's fraud prevention tools can help businesses save money by reducing chargebacks and other fraudulent transactions.
- Sift offers a range of fraud prevention solutions, including device fingerprinting, account takeover prevention, and payment fraud prevention.
- Sift's technology can improve the customer experience by reducing false positives and allowing legitimate transactions to be processed more quickly.
- Sift's risk management tools can help businesses stay ahead of emerging fraud trends and adapt their fraud prevention strategies accordingly.
- Sift's fraud prevention solutions are customizable, allowing businesses to tailor their fraud prevention strategies to their specific needs and requirements.
- Sift's technology can help businesses comply with regulatory requirements and prevent financial losses due to fraud.
Distribution of domains using Sift over IAB2 verticals
Most popular websites using Sift
Less popular websites using Sift
Distribution of domains using Sift over 1 million most popular domains
Distribution of domains using Sift over domain ages
The average age of websites using Sift is 10.6 years.
The average page rank (measure of backlink strength) of websites using Sift is 2.67.
5 technologies that are less often used together with Sift
