Best IT Security Software for Yandex Cloud

The service effectively distinguishes between automated requests and human interactions, filtering out bots while maintaining fast response times. To enhance its analysis, machine learning models are employed, utilizing extensively curated datasets that reflect many years of experience in safeguarding Yandex web resources, which are continuously refreshed. Instead of relying on pre-made images, the service autonomously creates its own, ensuring that it retains an impressive 85% accuracy in human recognition while complicating the process for bots attempting to solve CAPTCHAs. SmartCaptcha operates within the Yandex Cloud infrastructure, adhering to both international standards and Russian laws concerning information security. By implementing this system, you can add user verification to your website without the need for an “I’m not a robot” checkbox; the invisible CAPTCHA is only triggered for users whose requests appear dubious. Furthermore, the service is capable of generating recognition texts on its own, allowing you to select the desired level of complexity to enhance security. This innovative approach ensures a seamless user experience while effectively defending against automated threats.

Utilize encryption keys to safeguard your secrets, personal details, and sensitive information stored in the cloud. You can create and remove keys, configure access policies, and execute key rotation through the management console, CLI, or API. Yandex KMS supports both symmetric and asymmetric cryptographic methods. With the REST or RPC API, you can encrypt and decrypt small data sets, including secrets and local encryption keys, in addition to signing data through electronic signature protocols. You have control over who can access the encrypted information, while Yandex KMS guarantees the security and durability of the keys. Additionally, Hardware Security Modules (HSMs) are provided for enhanced security. For small data encryption, you can use the SDKs available in Java or Go, while larger data sets can be encrypted using popular libraries like the AWS Encryption SDK and Google Tink. The service integrates seamlessly with Yandex Lockbox, allowing you to encrypt secrets with your own keys. Furthermore, encryption keys can also be employed to secure secrets and data within the Managed Service for Kubernetes, providing robust protection across various platforms. This comprehensive approach ensures that your sensitive information remains secure from unauthorized access.

Utilize the management console or API to generate secrets, ensuring that they are securely stored in a centralized location that seamlessly integrates with your cloud services and can be accessed by external systems through gRPC or REST APIs. To enhance security, encrypt your secrets with keys from the Yandex Key Management Service, as all stored secrets are maintained in an encrypted state. You have the option to select from pre-defined service roles that offer fine-grained access control to your secrets, allowing you to establish specific permissions for reading or managing both the secrets themselves and their associated metadata. When creating a secret, you can choose a KMS key to securely store sensitive information such as login-password pairs. A secret can encompass various types of confidential data, including but not limited to login-password pairs, server certificate keys, or keys for cloud service accounts. The service also supports multiple versions of each secret, ensuring that all data remains securely stored in an encrypted format. To further ensure availability, all secrets are replicated across three different availability zones, providing robust data redundancy and reliability in case of any failures.

Enabling DDoS Protection is as easy as clicking a checkbox: simply select the DDoS protection option while setting up your VM and reserving public IP addresses. The service continuously monitors traffic to establish a baseline profile for each resource, allowing for the near real-time identification of DDoS attacks. To activate this feature, just remember to check the DDoS protection box during the VM creation or IP reservation process. Yandex DDoS Protection effectively filters all traffic directed to the protected IP addresses, even in the absence of an active DDoS attack, and it processes this traffic at OSI Layers 3 and 4. This robust protection is available for public IP addresses associated with VMs, network balancers, and database hosts, ensuring comprehensive defense against potential threats. Additionally, this proactive approach helps maintain service availability and reliability for your resources.

Load Balancers operate using technologies associated with Layer 4 of the OSI model, enabling the efficient processing of network packets with minimal latency. By establishing rules for TCP or HTTP checks, these load balancers continuously monitor the health of cloud resources, automatically excluding any resources that fail these checks from being utilized. You incur costs based on the number of load balancers deployed and the volume of incoming traffic, while outgoing traffic is billed similarly to other services within Yandex Cloud. The distribution of load is managed according to the client's address and port, the availability of resources, and the specific network protocol in use. In the event of changes to the instance group parameters or its members, the load balancer has the capability to automatically adapt, ensuring seamless operation. Additionally, when there are sudden fluctuations in incoming traffic, it is unnecessary to reconfigure the load balancers, allowing for a more efficient and hassle-free experience. This dynamic adjustment feature enhances the overall reliability and performance of your cloud infrastructure.

An Application Load Balancer operates at OSI Layer 7 and utilizes attributes from HTTP requests to effectively manage traffic distribution and to create or alter HTTP responses. Each interaction with your applications is logged, enabling you to review and analyze activity through the access logs of the load balancer. By distributing your cloud resources across multiple geographically diverse availability zones, you can ensure that your applications remain accessible even if one zone faces an outage. It is advisable to implement different load balancers tailored to the specific needs of various applications. When utilizing the Yandex Cloud framework to launch multiple applications, it is essential to set up both L4 and L7 load balancers for optimal service. Additionally, you can establish backends for new versions of your applications, allowing for dynamic load shifting within the HTTP router by adjusting the proportion of traffic directed to both old and new backends, thereby facilitating a smooth transition. This strategy not only enhances the robustness of your application deployments but also aids in managing resource efficiency effectively.

The service compiles runtime information from various sources into a unified log group. You have the option to utilize existing log groups or establish new ones tailored for specific services and applications. Filtering entries can be accomplished through the use of queries. While engaging with Cloud Logging, you can employ logical operators, filter by specific parameters, or delve into searches within JSON parameters. Cloud Logging is designed to gather, process, and retain logs for a maximum of 31 days. Each log group has a dedicated and separate data storage space. Read and write access can be configured through the assignment of roles. Additionally, you can consolidate data from Cloud Logging alongside diagnostic details from other systems that interface with Grafana, all within a single dashboard for streamlined analysis. This integration not only enhances visibility but also simplifies monitoring across multiple platforms.