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SHIELD is a device-first fraud intelligence platform that helps digital businesses worldwide eliminate fake accounts and stop all fraudulent activity.
Powered by SHIELD AI, we identify the root of fraud with the global standard for device identification (SHIELD Device ID) and actionable fraud intelligence, empowering businesses to stay ahead of new and unknown fraud threats.
We are trusted by global unicorns like inDrive, Alibaba, Swiggy, Meesho, TrueMoney, and more. With offices in San Francisco, London, Berlin, Jakarta, Bengaluru, Beijing, and Singapore, we are rapidly achieving our mission - eliminating unfairness to enable trust for the world.
Django
SHIELDSHIELD's answer:
Most fraud solutions are web-first and rely heavily on personal data and static identifiers that are easily bypassed. They are also often focused on addressing fraud at specific checkpoints. SHIELD is device-first. Fraudsters can spoof data, accounts, and even identities, but they always need a device to act. This is why we stop fraud at the root.
SHIELD's answer:
Our plug-and-play SDKs and lightweight JavaScript snippets can be integrated in a matter of hours โ not weeks or months. Thereโs no training period required, enabling your team to start detecting fraud immediately. Most customers see tangible results on day one, with zero disruption to existing workflows.
SHIELD's answer:
SHIELD works with digital businesses across every region and industry where trust and safety are mission-critical. Our customers include global unicorns and fast-scaling platforms in mobility, fintech, e-commerce, igaming, digital identity, and more. If your platform faces fraud, or trust & safety challenges, SHIELD can help you eliminate malicious users and scale growth with confidence.
SHIELD's answer:
SHIELD deliver real-time device intelligence globally, with offices in San Francisco, Singapore, Jakarta, Dubai, London, Sรฃo Paulo, and more. We are a global team, which helps us stay close to the latest fraud trends, and our clients.
SHIELD's answer:
inDrive, Truemoney, Maya, Swiggy, Buymed, Atlas, MPL,
Based on our record, Django seems to be more popular. It has been mentiond 16 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.
Use of settings.py as a naming convention follows in Django's footsteps, but alternatively, you can save it to .env and integrate use of python-dotenv to more closely mirror Node. - Source: dev.to / 8 months ago
Let's dive into a quick implementation of this using AWS and Django. We will be using a couple of ideas from the AWS Official Blog. - Source: dev.to / about 2 years ago
Django is a high-level Python web framework. It is an Model-View-Template(MVT)-based, open-source web application development framework. It was released in 2005. It comes with batteries included. Some popular websites using Django are Instagram, Mozilla, Disqus, Bitbucket, Nextdoor and Clubhouse. - Source: dev.to / almost 4 years ago
This seems like a job for Django. MDN offers a really good tutorial here. To be honest, it would be a massive undertaking so Iโd recommend going for a prebuilt solution like PowerSchool and the like. Source: almost 4 years ago
The first party docs are second to none. Start out with the official tutorial on https://djangoproject.com . Source: about 4 years ago
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
SEON - SEON Sense Platform is a modular and AI-powered fraud detection software that deliver clear results with an automated, machine-driven workflow.
Laravel - A PHP Framework For Web Artisans
FingerprintJS - Fraud detection and prevention using browser fingerprinting with 99.5% accuracy. Stops account sharing, payment processing fraud and gaming.
Flask - a microframework for Python based on Werkzeug, Jinja 2 and good intentions.
Rupt - Prevent fraud and grow your revenue.