Best API Security Software for Linux of 2024

Engineered for peak performance and efficient resource use, KrakenD can manage a staggering 70k requests per second on just one instance. Its stateless build ensures hassle-free scalability, sidelining complications like database upkeep or node synchronization. In terms of features, KrakenD is a jack-of-all-trades. It accommodates multiple protocols and API standards, offering granular access control, data shaping, and caching capabilities. A standout feature is its Backend For Frontend pattern, which consolidates various API calls into a single response, simplifying client interactions. On the security front, KrakenD is OWASP-compliant and data-agnostic, streamlining regulatory adherence. Operational ease comes via its declarative setup and robust third-party tool integration. With its open-source community edition and transparent pricing model, KrakenD is the go-to API Gateway for organizations that refuse to compromise on performance or scalability.

Tyk is an Open Source API Gateway and Management Platform that is leading in Open Source API Gateways and Management. It features an API gateway, analytics portal, dashboard, and a developer portal. Supporting REST, GraphQL, TCP and gRPC protocols We facilitate billions of transactions for thousands of innovative organisations. Tyk can be installed on-premises (Self-managed), Hybrid or fully SaaS.

Ambassador Edge Stack, a Kubernetes-native API Gateway, provides simplicity, security, and scalability for some of the largest Kubernetes infrastructures in the world. Ambassador Edge Stack makes it easy to secure microservices with a complete set of security functionality including automatic TLS, authentication and rate limiting. WAF integration is also available. Fine-grained access control is also possible. The API Gateway is a Kubernetes-based ingress controller that supports a wide range of protocols, including gRPC, gRPC Web, TLS termination, and traffic management controls to ensure resource availability.

You can use your favorite debugging software to locally troubleshoot your Kubernetes services. Telepresence, an open-source tool, allows you to run one service locally and connect it to a remote Kubernetes cluster. Telepresence was initially developed by Ambassador Labs, which creates open-source development tools for Kubernetes such as Ambassador and Forge. We welcome all contributions from the community. You can help us by submitting an issue, pull request or reporting a bug. Join our active Slack group to ask questions or inquire about paid support plans. Telepresence is currently under active development. Register to receive updates and announcements. You can quickly debug locally without waiting for a container to be built/push/deployed. Ability to use their favorite local tools such as debugger, IDE, etc. Ability to run large-scale programs that aren't possible locally.

Gravitee.io, the most cost-effective, performant, and cost-effective Open Source API Platform, allows your organization to securely publish, analyze, and secure your APIs. Gravitee.io's OAuth2 OpenID Connect (OIDC), and Financial-grade API(FAPI) certified servers allow you to manage your identities. Gravitee.io APIM allows you to control precisely who, when, and how your APIs are accessed by your organization. It is lightweight, flexible, and lightning-fast. Gravitee.io allows you to manage, monitor, deploy, and secure your APIs with strong governance features like API review and API quality. Your API consumers can fully engage with your business through a Gravitee.io portal. This will ensure high quality engagement in the digital age.

Resurface is a runtime API security tool. Resurface continuous API scanning allows you to detect and respond in real time to API threats and risks. Resurface is a purpose-built tool for API data. It captures all request and response payloads, including GraphQL, to instantly see potential threats and failures. Receive alerts about data breaches for zero-day detection. Resurface is mapped to OWASP Top10 and alerts on threats with complete security patterns. Resurface is self-hosted and all data is first-party. Resurface is the only API security system that can be used to perform deep inspections at scale. Resurface detects active attacks and alerts them by processing millions of API calls. Machine learning models detect anomalies and identify low-and slow attack patterns.

Protect your APIs by analyzing and protecting them with passive, inline, or API-based integration with any network component, such as an API gateway, proxy or CDN. Predefined policies that are fine-tuned based on threat patterns, which have been used to protect billions of API transactions every day, provide unmatched protection. An API-based architecture and rich user interface allow integration with threat intelligence feeds and other security components. Patented ML based analysis eliminates JavaScript integration pen-alties like slow page loads, extended development cycles, and forced mobile-app upgrade. ML-based analysis generates a unique Behavioral Footprint to identify malicious intent and continuously tracks attackers as they retool.

Utilihive, a cloud-native big-data integration platform, is offered as a managed (SaaS) service. Utilihive, the most popular Enterprise-iPaaS (iPaaS), is specifically designed for utility and energy usage scenarios. Utilihive offers both the technical infrastructure platform (connectivity and integration, data ingestion and data lake management) and preconfigured integration content or accelerators. (connectors and data flows, orchestrations and utility data model, energy services, monitoring and reporting dashboards). This allows for faster delivery of data-driven services and simplifies operations.

Authress, Authorization API to your application. Authorization can be complicated quickly. Even though it seems simple, there are many hidden complications involved in authorization. It is not something you want to do on your own. It takes time to get authorization right. In simple cases, it takes an average of 840 hours to implement authorization logic. This number increases rapidly as you add more features to your app. Your application is your biggest security vulnerability. If you don't have the right skills, your doors are open to malicious attacks. You run the risk of compromising user data, non-compliance to local regulations, and major business losses. Features: Secure authorization API. Instead of creating your own authorization logic, call our API. Written by developers for developers. Granular permissions. Define multiple levels and group them by user role. You can be as specific as you like; Identity provider integrations; Simply call an API to connect any ID provider.

open-appsec is an open-source initiative that builds on machine learning to provide pre-emptive web app & API threat protection against OWASP-Top-10 and zero-day attacks. It can be deployed as add-on to Kubernetes Ingress, NGINX, Envoy and API Gateways. The open-appsec engine learns how users normally interact with your web application. It then uses this information to automatically detect requests that fall outside of normal operations, and sends those requests for further analysis to decide whether the request is malicious or not. open-appsec uses two machine learning models: 1. A supervised model that was trained offline based on millions of requests, both malicious and benign. 2. An unsupervised model that is being built in real time in the protected environment. This model uses traffic patterns specific to the environment. open-oppsec simplifies maintenance as there is no threat signature upkeep and exception handling, like common in many WAF solutions.

Spherical Defense, an API security solution, uses deep unsupervised learning to protect APIs. Spherical Defense Express can be downloaded on AWS in just minutes and will protect your assets within two hours for $1 per hour. After you have deployed Spherical, it will immediately begin listening for API traffic. It will remain in this mode as long as there are not enough data to train the first security system. It will move on to the next stage after receiving approximately 16,000 requests. Once enough data has been received the system will move into training mode. After approximately 6 hours, the system will generate a trained security model that can be mounted for evaluation. The Spherical instance will continue to train new models as new data is received. This allows for the account of natural changes in API traffic over time. After the first security model is trained, it can be mounted for evaluation.