What is our primary use case?
Radware AI Security Suite protects our AI-powered application in Microsoft Copilot's deployments from AI-specific threats, ensuring our governance, visibility, and real-time security monitoring.
Radware AI Security Suite helps with governance, visibility, and real-time security monitoring in our Copilot deployment by providing us a centralized view of AI applications and tools, along with user interaction across our environment, helping us understand which AI services are being used and how they are connected.
Our main use case is to continuously monitor AI activity and identify risky behavior or misconfiguration, and Radware AI Security Suite is helping us with that.
Several internal and external factors prompted our organization to explore solutions like Radware's Agentic AI Protection, including increased adoption of AI technology, such as Microsoft Copilot and other AI-powered applications, creating a need for stronger governance, visibility, and security controls, as well as the awareness of AI-specific threats such as prompt injection, jailbreaking, and unauthorized tool uses highlighting gaps that necessitated a protective security approach.
The main risk area my organization prioritized when considering Radware's Agentic AI Protection is data leakage, as protecting sensitive data has become a key requirement due to increased use of AI tools including Copilot and other AI agents' applications.
The most critical LLM-related risks my organization prioritized addressing with Radware's LLM Firewall include prompt injection attacks and sensitive data leakage, as AI agents have become a crucial part of our organization, necessitating a data control tool to prevent exposing confidential business data.
How has it helped my organization?
From the security perspective, Radware AI Security Suite positively impacts our organization by providing real-time monitoring and behavioral analytics capabilities that help us identify suspicious activities, prompt injection attacks, unauthorized access patterns, and abnormal AI agents, improving our ability to detect and respond to potential threats before they can affect our business.
One of the most significant benefits since implementing Radware AI Security Suite has been faster detection and response to AI-related security events, as the behavioral analytics and real-time monitoring capabilities help our security team identify anomalous activity, such as suspicious prompts and unusual access patterns, facilitating earlier investigations.
Upon activating Radware's Agentic AI Protection, the number of agents identified in our environment compared to prior estimates showed that while we had visibility into officially approved AI tools, Radware's solution helped identify additional agent integrations and AI-driven workflows being used across different teams.
Radware's Agentic AI Protection revealed unexpected insights about our internal network topology, including previously undocumented AI-related connections and workflows in our environment.
What is most valuable?
The best feature Radware AI Security Suite offers is AI agent discovery and visibility, along with behavioral analytics, LLM firewall capabilities, and real-time runtime protection, providing a centralized view of AI agent tools and interactions, making it easier to govern and secure AI deployments.
The behavioral analytics capability is one of the most valuable aspects in this tool because it focuses on how user and AI agents' applications behave rather than relying solely on predefined signatures, continuously monitoring AI interactions and identifying unusual patterns with the detection of potential risky activities, such as prompt injections or attempts, and abnormal agent actions.
It also detects unauthorized tool uses and data access behavior.
The governance and security aspects of Radware AI Security Suite help security teams by clarifying AI agents, tools, interactions, and dependencies, as well as identifying potential risk before a security incident, maintaining the inventory of AI assets, mapping relationships between agents and tools, monitoring usage patterns, and generating compliance-oriented reports.
In terms of accuracy and reliability, particularly in behavioral analytics, threat detection, and AI runtime protection, these are highly accurate capabilities of Radware AI Security Suite. Regarding reliability, it does not rely solely on static signatures but analyzes behavior, intent, and interaction across AI agents, tools, and users, improving detection quality and reducing unnecessary alerts.
What needs improvement?
Radware AI Security Suite is a strong tool, but it could be improved in the customization of the dashboard and reporting, which would help us tailor the views for different stakeholders and compliance requirements.
For how long have I used the solution?
I have been using Radware AI Security Suite for one year.
What do I think about the stability of the solution?
Radware AI Security Suite is stable.
What do I think about the scalability of the solution?
The scalability of Radware AI Security Suite is very good.
How are customer service and support?
Customer support for Radware AI Security Suite is good and promptly supportive. I rate the customer support a ten out of ten.
Which solution did I use previously and why did I switch?
I did not previously use a different solution.
How was the initial setup?
The factors influencing our decision between API integration (out-of-path) and code proxy integration (in-path) for sensitive agent actions included security, deployment complexity, performance impact, and visibility.
What was our ROI?
We have seen a return on investment with Radware AI Security Suite, particularly in terms of time saved.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing for Radware AI Security Suite has been very good overall, with positive impressions regarding licensing and cost.
Which other solutions did I evaluate?
We evaluated other options before choosing Radware AI Security Suite, but details about those options are confidential.
What other advice do I have?
I rate Radware AI Security Suite a nine out of ten. I rated it a nine because it provides strong visibility, governance, and real-time protection for AI environments while helping address emerging threats such as prompt injection, jailbreak attacks, and data leaks, and its behavioral analytics, AI agent discovery, and runtime protection capabilities give our security team greater confidence in managing Copilot and other AI agent deployments. My advice for others looking into using Radware AI Security Suite is to start with visibility and governance objectives before focusing solely on threat prevention, as adopting this solution will help with understanding which AI agent tools and integrations are open within the environment, making it very helpful for any kind of organization.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Other
