Application Security

Radware (RDWR) launched its LLM Firewall, an addition to its Cloud Application Protection Services, on November 18, 2025. The LLM Firewall is designed to protect enterprises integrating Large Language Models (LLMs) by securing LLM prompts and responses against attacks like prompt injection and sensitive data exfiltration. It uses real-time, AI-based protection at the prompt level and a model-agnostic design to integrate across platforms and help comply with data protection standards. It addresses OWASP Top 10 Risks for LLMs and Gen AI Apps.

Applications are critical in modern organizations but are prime targets for cyberattacks. AI-driven AppSec tools are emerging to address increasing software complexity and security risks, offering automation and predictive capabilities. Best practices include shifting security left, combining AI with traditional methods, enabling continuous learning, keeping humans in the loop, and aligning with compliance. Leading tools like Apiiro, Mend.io, Burp Suite, PentestGPT, and Garak offer features like intelligent vulnerability detection, automated remediation guidance, continuous monitoring, risk prioritization, and DevOps integration, crucial for building resilient software.