Best API Security Software for Linux

Reliable, Scalable, and Secure Load Balancing Formerly known as Zevenet, SKUDONET Enterprise Edition is an advanced and highly scalable Open Source Application Delivery and Security Platform designed to handle large volumes of traffic across any environment—whether physical, virtual, or cloud-based for modern IT infrastructures. Built on the Linux Debian system, SKUDONET offers a robust platform that integrates advanced security and performance features, offering a cost-effective alternative to other solutions on the market. Key Features & Benefits: ✔ High Availability – Prevents downtime with intelligent traffic balancing and clustering ✔ Advanced Security – Includes DoS protection, SSL offloading, and L7 filtering to enhance cybersecurity ✔ High Scalability – Multi-core processing, optimized packet handling, and support for high-throughput environments ✔ Flexible Deployment – Available for bare metal, virtual machines, and cloud platforms with BYOL (AWS, DigitalOcean)

Tyk is a leading Open Source API Gateway and Management Platform, featuring an API gateway, analytics, developer portal and dashboard. We power billions of transactions for thousands of innovative organisations. By making our capabilities easily accessible to developers, we make it fast, simple and low-risk for big enterprises to manage their APIs, adopt microservices and adopt GraphQL. Whether self-managed, cloud or a hybrid, our unique architecture and capabilities enable large, complex, global organisations to quickly deliver highly secure, highly regulated API-first applications and products that span multiple clouds and geographies.

Built on the Graylog Platform, Graylog Security is the industry’s best-of-breed threat detection, investigation, and response (TDIR) solution. It simplifies analysts’ day-to-day cybersecurity activities with an unmatched workflow and user experience while simultaneously providing short- and long-term budget flexibility in the form of low total cost of ownership (TCO) that CISOs covet. With Graylog Security, security analysts can: 1. Decrease risk and metrics like mean time to detect (MTTD) by aligning threat detection coverage to meet your security objectives 2. Reduce TCO with native data routing and data tiering functionality 3. Reduce key metrics like mean time to respond (MTTR) by quickly resolving the alerts that matter. Graylog Security is a robust, scalable solution that empowers analysts to detect and respond to cybersecurity threats efficiently. With integrated SOAR functionality, it automates repetitive tasks, orchestrates workflows, and accelerates incident response.

Ambassador Edge Stack is a Kubernetes-native API Gateway that delivers the scalability, security, and simplicity for some of the world's largest Kubernetes installations. Edge Stack makes securing microservices easy with a comprehensive set of security functionality, including automatic TLS, authentication, rate limiting, WAF integration, and fine-grained access control. The API Gateway contains a modern Kubernetes ingress controller that supports a broad range of protocols including gRPC and gRPC-Web, supports TLS termination, and provides traffic management controls for resource availability. Why use Ambassador Edge Stack API Gateway? - Accelerate Scalability: Manage high traffic volumes and distribute incoming requests across multiple backend services, ensuring reliable application performance. - Enhanced Security: Protect your APIs from unauthorized access and malicious attacks with robust security features. - Improve Productivity & Developer Experience

Start analyzing and protecting your APIs with passive, inline or API-based integration with any existing network component – API gateway, proxy, CDN or ingress controller. Predefined policies, fine-tuned using threat patterns observed in protecting billions of API transactions per day delivers unmatched, out-of-the-box protection. A rich user interface and an open, API-based architecture enables integration with threat intelligence feeds, CI/CD framework tools, other security components, and SIEM/SOAR/XDR solutions. Patented ML-based analysis eliminates JavaScript and SDK integration pen-alties such as extended development cycles, slow page loads and forced mobile-app upgrades. ML-based analysis generates a unique Behavioral Fingerprint to determine malicious intent and continually tracks attackers as they retool.

Telepresence streamlines your local development process, enabling immediate feedback. You can launch your local environment on your laptop, equipped with your preferred tools, while Telepresence seamlessly connects them to the microservices and test databases they rely on. It simplifies and expedites collaborative development, debugging, and testing within Kubernetes environments by establishing a seamless connection between your local machine and shared remote Kubernetes clusters. Why Telepresence: Faster feedback loops: Spend less time building, containerizing, and deploying code. Get immediate feedback on code changes by running your service in the cloud from your local machine. Shift testing left: Create a remote-to-local debugging experience. Catch bugs pre-production without the configuration headache of remote debugging. Deliver better, faster user experience: Get new features and applications into the hands of users faster and more frequently.

Utilihive is a cloud-native big data integration platform, purpose-built for the digital data-driven utility, offered as a managed service (SaaS). Utilihive is the leading Enterprise-iPaaS (iPaaS) that is purpose-built for energy and utility usage scenarios. Utilihive provides both the technical infrastructure platform (connectivity, integration, data ingestion, data lake, API management) and pre-configured integration content or accelerators (connectors, data flows, orchestrations, utility data model, energy data services, monitoring and reporting dashboards) to speed up the delivery of innovative data driven services and simplify operations. Utilities play a vital role towards achieving the Sustainable Development Goals and now have the opportunity to build universal platforms to facilitate the data economy in a new world including renewable energy. Seamless access to data is crucial to accelerate the digital transformation.

Authress, Complete Auth API for B2B. Authentication & Authorization gets complicated quickly, even if it appears easy, there is a lot of hidden complexity in authorization, you don’t want to do it on your own. It takes time to get authorization right In simple cases, it takes an average software team 840 hours to implement authorization logic. As you add features to your application, this number grows rapidly. Without expertise, you leave your door wide open to malicious attacks. You risk compromising your user data, non-compliance with local regulations, and massive business losses. * Secure authorization API--Instead of building your own authorization logic, call our API * Granular permissions--Define multiple levels of access and group them by user roles. As granular as you want * Identity Provider integrations--Plug in any of your preferred ID providers with a simple API call. * SSO and full user management

Spherical Defense is an API security solution that uses deep unsupervised learning to protect your APIs. Spherical Defense Express is deployed on AWS, takes just a minute to download and will be protecting your assets within two hours at the cost of $1 per hour. Once you have deployed your Spherical instance, it will immediately start listening for API traffic. It will stay in this mode for only as long as there is insufficient data to train the first security model. After receiving roughly 16,000 requests, it will move to the next stage. After sufficient data has been received, the system moves into training mode. This mode will result in a trained security model after roughly 6 hours, which will then be mounted for evaluation. As new data is received, the Spherical instance will train more models to account for natural changes in your API traffic over time. Once the first security model has been trained, it is mounted for evaluation.