What security measures does collana pay use?

We are aware of the importance of security in payment transactions. Our team maintains high security standards and we strive to provide an extremely secure service.

The collana pay cloud service consists of various cloud resources that Microsoft provides on its Azure cloud platform and already protects by default with built-in IT security measures. For example, features are built into the Azure services that effectively protect against DDoS attacks.
With over 3,500 cybersecurity experts worldwide, Microsoft ensures the best possible protection of all resources and data in Azure. For more information on Security in Azure: Security
The following short video provides insights into the IT security standards of Microsoft Azure:

Security in Azure
We also use a number of security methods, some of which we list here:

Microsoft Front Door is a cloud-based service offered by Microsoft that provides global load balancing and application acceleration for web applications. It's designed to help organizations improve the performance, availability, and security of their web applications, while also simplifying management and reducing costs.

Here are some key features and benefits of Microsoft Front Door:

1. Global Load Balancing: Front Door enables traffic to be distributed across multiple endpoints, such as different Azure regions or on-premises data centers, based on factors such as proximity, capacity, and health.

2. Application Acceleration: Front Door uses intelligent routing to optimize traffic flow and reduce latency, as well as caching to improve performance and reduce bandwidth consumption.

3. Security: Front Door includes built-in DDoS protection and SSL/TLS termination, as well as support for custom domain and certificate management.

4. Management: Front Door can be managed through a user-friendly portal, APIs, or Azure CLI, and provides real-time metrics and logs for monitoring and troubleshooting.

5. Cost-effective: Front Door provides a pay-as-you-go pricing model, with no upfront costs or long-term commitments, and offers volume discounts for high traffic scenarios.

Azure Virtual Network (VNet) is a cloud-based service provided by Microsoft Azure that enables users to create and manage private networks in the cloud. A VNet allows users to connect Azure resources, such as virtual machines (VMs), to each other, to on-premises networks, and to the internet.

Here are some key features and benefits of Azure Virtual Network:

1. Private Network: Azure VNet allows you to create a private network in the cloud, so you can keep your data and resources secure.

2. Isolation: Each VNet is isolated from other VNets in Azure, so you can have multiple VNets with different security requirements, and they won't interfere with each other.

3. Connectivity: Azure VNet enables you to connect your resources in the cloud to each other, to your on-premises network, or to the internet.

4. Customization: Azure VNet allows you to customize your network settings, including IP address ranges, subnets, and network security groups.

5. Security: Azure VNet provides built-in network security features, such as distributed denial-of-service (DDoS) protection and virtual private network (VPN) gateways.

6. Availability: Azure VNet provides high availability and redundancy, so your network is always up and running.

Bot protection is a security feature offered by Web Application Firewalls (WAFs) that helps to prevent automated attacks from bots, which are software programs designed to perform repetitive tasks over the internet. Bot protection is important for protecting web applications from various types of attacks, such as brute force attacks, credential stuffing, and content scraping.

Bot protection works by identifying and blocking requests that appear to be automated and malicious. This is done using a combination of techniques, such as:

1. Rate limiting: Bot protection can limit the number of requests that a user or IP address can make within a certain timeframe. This helps to prevent automated attacks that send a large number of requests in a short period of time.

2. Behavioral analysis: Bot protection can analyze user behavior, such as mouse movements and keystrokes, to determine whether a request is being made by a human or a bot.

3. Captchas: Bot protection can use captchas to verify that a user is human. This involves presenting a challenge that is difficult for bots to solve, such as identifying objects in an image.

4. Machine learning: Bot protection can use machine learning algorithms to identify and block requests that appear to be automated and malicious. Machine learning algorithms can learn from past behavior to improve their accuracy over time.