What is our primary use case?
We are choosing Radware Cloud WAF Service over traditional WAF because it has API first behavioral protection, advanced bot defense, and layer 7 web DDoS capability. It was chosen because of the hybrid and Cloud native app environment. For internal and external customers, we have approximately 1300 plus customers in our data center colocation, and all of them are using Radware Cloud WAF Service.
There are various use cases for Radware Cloud WAF Service. One is about securing public-facing portals, internal applications, and APIs, including REST API and GraphQL API. The deployed assess provides services to internal IT customers and external customers. This WAF is configured in reverse proxy mode plus API security module, and it is integrated with CI/CD pipeline for secure application development.
We have been using Radware Cloud WAF Service as it supports integration with CDN services such as Akamai, Cloudflare, and AWS CloudFront. Radware has CDN nodes for optimized delivery and protection. However, we have been using AWS CloudFront currently, but I'm in discussion with the Radware team about acquiring more Cloud WAF licenses, along with Cloud DDoS, to enhance Cloud DDoS protection capability. They have recently launched Cyber Controller Plus, so I'm going to procure Cyber Controller Plus.;
What is most valuable?
Automatic API discovery and schema validation is something we have appreciated about Radware Cloud WAF Service. It has automatic API discovery, protection against injection, abuse, and credential stuffing. It also has token-based authentication and enforcement, along with rate limiting. Bot and threat protection is another excellent feature.
It eliminates manual API inventory and documents and streamlines the security policy creation. It reduced the work for developers and the SOC workload because with a large SOC team, it helped to offload and eliminate overhead costs, providing SOC people with better resources.
Automatic threat detection in blocking and detecting without manual intervention is essential. Scalability is another benefit because it has Cloud native architecture. Cloud native architecture is readily scalable, requiring no hardware maintenance.
What needs improvement?
I see areas in Radware Cloud WAF Service for improvement, specifically in its initial tuning period, because the machine learning model takes two to three weeks for baseline behavior establishment. Closely monitoring alerts during this period is essential to avoid false positives.
There's an alert noise issue; during the early stages, we received a high volume of alerts for minor issues, requiring collaboration with the SOC team to fine-tune thresholds and concentrate on genuine threats.
The documentation is not up to par, as while the platform's system is robust, the documentation, particularly for API integration, could be more developer-friendly with real-world use cases.
For how long have I used the solution?
We have been working with Radware Cloud WAF Service for almost four and half to five years now.
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How are customer service and support?
My experience with the technical support of Radware Cloud WAF Service is that they are excellent, and I have established a strong relationship with the executive leadership up to Roy, the CEO. They provide excellent support.
How was the initial setup?
My experience with the pricing, setup costs, and licensing of Radware Cloud WAF Service is positive because I'm a Radware shop. I have all the Radware products, so my feedback is purely positive.
What was our ROI?
I have seen a return on investment with Radware Cloud WAF Service since I have been providing support and selling it as a service to customers.
Which other solutions did I evaluate?
When looking into Radware Cloud WAF Service, I evaluated F5 and Fortinet as other options.
What other advice do I have?
We have been using many products provided by Radware. API discovery in Radware Cloud WAF Service was straightforward. Although initially, our people were new to Radware, and we had some challenges in the initial phase with false positives and early learning phases, especially with custom applications. Over time, with its intuitive UI, we were able to implement it quickly; my team learned and started working on it.
Radware Cloud WAF Service is integrated with SIEM and our SOC team of 75 people. Initially, during the early phase, false positives were common because SIEM was learning the traffic pattern, monitoring the logs, and adjusting the sensitivity. We accomplished policy tuning efficiently by manually fine-tuning the security parameters after analyzing the pattern and adjusting the threshold to reduce noise.
Radware Cloud WAF Service has been doing excellent work in protecting against zero-day attacks. We are using the automated source blocking feature. It has significantly helped our compliance efforts and helps maintain business continuity with its DDoS protection capabilities, which we utilize through real-time behavior-based detection using machine learning.
I rate Radware Cloud WAF Service eight out of ten.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Disclosure: PeerSpot contacted the reviewer to collect the review and to validate authenticity. The reviewer was referred by the vendor, but the review is not subject to editing or approval by the vendor.
Hi Shijir-Alt
T here are a couple of new AI tools worth mentioning. One is SOC AI, which can analyze logs in just seconds, and the other is DocXpert, which acts as an agent for all Cloud Portal documentation. If you’d like to learn more, you can connect with us via our customer program at RadwareLinkProgram@Radware.com, and we’ll be happy to share further details.
Sharon.