Sift Description
Sift's Digital Trust & Safety suite serves as a formidable barrier against fraudsters. It not only safeguards your business while facilitating substantial growth but also actively prevents account takeovers, payment fraud, and harmful scam content that could tarnish your brand's reputation. With that in mind, what objectives are you aiming to achieve?
Sift Alternatives
Sumsub is a single verification platform that allows you to onboard more customers worldwide, speed up their access, reduce costs, and fight digital fraud. Sumsub combines effective verification flows with higher conversion rates worldwide through a powerful, all in one suite designed for a wide variety of needs: KYC/AML verification, KYB verifications, payment fraud prevention and face authentication.
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Don't let fraud erode your bottom line, damage your reputation, or stall your growth. FraudNet's AI-driven platform empowers enterprises to stay ahead of threats, streamline compliance, and manage risk at scale—all in real-time. While fraudsters evolve tactics, our platform detects tomorrow's threats, delivering risk assessments through insights from billions of analyzed transactions.
Imagine transforming your fraud prevention with a single, robust platform: comprehensive screening for smoother onboarding and reduced risk exposure, continuous monitoring to proactively identify and block new threats, and precision fraud detection across channels and payment types with real-time, AI-powered risk scoring. Our proprietary machine learning models continuously learn and improve, identifying patterns invisible to traditional systems. Paired with our Data Hub of dozens of third-party data integrations, you'll gain unprecedented fraud and risk protection while slashing false positives and eliminating operational inefficiencies.
The impact is undeniable. Leading payment companies, financial institutions, innovative fintechs, and commerce brands trust our AI-powered solutions worldwide, and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives. With our flexible no-code/low-code architecture, you can scale effortlessly as you grow.
Why settle for outdated fraud and risk management systems when you could be building resilience for future opportunities? See the Fraud.Net difference for yourself. Request your personalized demo today and discover how we can help you strengthen your business against threats while empowering growth.
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aiReflex
Fraud.com's aiReflex is a digital risk and trust solution designed to simplify your fraud defences, making life easier for you and safer and fairer for your customers.
aiReflex determines which transactions are legitimate in real-time using a multi-layer defence coupled with explainable AI to fight fraud and improve customer trust.
Everything you need to eliminate transactional and application fraud, including:
- Transactional Orchestration
- Adaptive Rule Engine
- AI Engine (Supervised and Unsupervised Machine Learning)
- Simulation Engine
- Dynamic and static lists
- Journey-Time Orchestration
- OmniChannel Case Management
- Centralised Fraud Reporting
Contact us at fraud.com on how we can help you improve your fraud defence while reducing costs and improving customer experiences.
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RISK IDENT
RISK IDENT, a leader in software development, offers anti-fraud solutions for companies in the e-commerce and telecommunications sectors. We are experts in machine learning and data analytics. Our most important products are DEVICE IDENT Device Fingerprinting and FRIDA Fraud Manager. These include account takeovers, payment fraud, and fraud within loan applications. Our intelligent software products detect online fraudulent activity by automatically evaluating and interpreting data points. We provide real-time results that allow you to stop fraudulent attacks before they occur. Multiple awards, serious data security. The key to fraud prevention is the network and evaluation of all relevant data points at high speed. We deliver exactly that: Real-time identification of anomalies.
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Company Details
Company:
Sift
Year Founded:
2011
Headquarters:
United States
Website:
sift.com
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Product Details
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Web-Based
Types of Training
Training Docs
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Business Hours
Online Support
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