Stops Threats at the Prompt-level Before Reaching the LLM Model
Radware® (NASDAQ: RDWR), a leading provider of cybersecurity and application delivery solutions, today introduces a new solution to the market, LLM Firewall. An add-on to all tiers of Radware’s Cloud Application Protection Services, LLM Firewall is the first phase of Radware’s broader agentic AI protection solution for enterprises. LLM Firewall is designed to help address the growing security concerns around integrated LLM modules in applications and to protect the LLM prompt and response against attacks and abuse. It secures generative AI use with real-time, AI-based protection at the prompt level, stopping threats before they reach the LLM model. Fully model-agnostic and easy to integrate, it secures AI use across platforms without disrupting workflows or innovation.
“Many organizations are rightfully cautious about adopting AI, hesitating because of concerns about complex regulations, data safety and systems integrity,” said Constance Stack, chief growth officer, Radware. “Radware’s new LLM Firewall is built around the premise that AI security must be enforced at the prompt in order to defend against prompt injection, jailbreaks, and resource abuse. Think of it as WAF for LLMs, but instead of guarding against HTTP-level exploits, it helps mitigate against natural language exploits specific to LLM behavior, and enhances protection for LLM models and integration, in real time.”
The new Radware solution is designed to detect and block attempts to exfiltrate personally identifiable information before it ever reaches the customer’s LLM, helping to prevent exposure of personal and sensitive data, supporting compliance with global standards such as GDPR, HIPAA, and other data protection frameworks and enterprise policies. Radware LLM Firewall is designed to address the 2025 OWASP Top 10 Risks and Mitigations for LLMs and Gen AI Apps.
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