Enterprises are rolling out GenAI features faster than they can secure them. And this is directly affecting MSSPs as they are the ones being asked to make sense of it all.
Radware is now making it easier for enterprises and MSSPs with its new LLM Firewall, which brings prompt-level inspection into the company’s Cloud Application Protection suite, providing a way to enforce guardrails around LLM use without adding new tools or changing their workflows.
Filtering Prompts Before They Become Incidents
A big part of Radware’s pitch is where the filtering happens. Instead of monitoring behavior after an LLM generates a response, the firewall screens prompts before they ever reach the model.
Dror Zelter, Radware’s VP of Product Marketing, told MSSP Alert that the firewall “detects and blocks malicious prompts even before they reach the customer’s applications and models,” which also helps reduce unnecessary GPU, memory, and database consumption. That connection between security and cost is becoming more important as clients start asking why early GenAI experiments are draining resources or triggering unexpected cloud bills.
Zelter also highlighted that customers don’t need to rewrite code or adjust their deployment architecture to turn the feature on. In his words, customers and service providers “can start using it immediately.” He pointed to Radware’s “Master Templates” as a way to apply consistent rules across multiple LLM applications, which matters for MSSPs managing different environments with similar risks. It keeps policy simple and repeatable instead of forcing each tenant into its own configuration path.
A Straightforward Add-On for MSSPs
By sitting inside Radware’s existing cloud protection suite, the LLM Firewall lets MSSPs expand their services without introducing another platform. It supports fast onboarding, makes prompt-layer controls easier to enforce, and gives partners a clear way to address client concerns about data leakage, prompt misuse, and compliance around GenAI usage.
One recurring theme in Zelter’s comments is ease of adoption. He described the firewall as “another link in the chain,” emphasizing that it works as part of the same workflows partners already use for WAAP, API protection, bot management, and client-side defenses. That familiarity reduces operational friction and gives MSSPs a quick path to offering GenAI-focused services. He added that “in a matter of hours and even minutes — an organization can start using it,” underscoring how low the barrier is for partners who want to expand their scope.
Meeting Clients Where They Are With GenAI
Most organizations aren’t ready for a full GenAI security program. They’re testing LLM-powered features inside apps, support workflows, and internal tools, often without a clear risk plan behind them. MSSPs end up filling the gap. Radware’s LLM Firewall doesn’t claim to cover every angle, but it offers something MSSPs can deploy right away: prompt-layer control that reduces risky inputs, prevents accidental data exposure, and creates a consistent security baseline across different LLM deployments. It’s a practical step for clients who need protection now and a manageable starting point for partners building out broader GenAI security services.
