Radware Combines AI Agent, LLM Firewall Tools to Deliver Comprehensive AI Security Portfolio for Enterprises and MSSPs

2026-02-06 11:31:38 ET

Radware Ltd. (NASDAQ: RDWR) is expanding its AI-focused security suite with a combined portfolio of agentic AI protection and LLM-level firewall tools, giving enterprises and managed security service providers (MSSPs) a more complete set of defenses against emerging threats tied to AI adoption. The move reflects growing industry concern that traditional cybersecurity tools are ill-equipped to protect autonomous AI systems -- including generative AI agents and large language models -- that are rapidly being integrated into business operations. ( MSSP Alert )

Tackling AI's Security Blind Spots

Radware's latest portfolio expansion builds on two major security components:

1. LLM Firewall -- Introduced late in 2025, this tool adds prompt-level inspection and control for large language models embedded in applications, helping block malicious inputs before they reach models and create vulnerability exposure. The firewall sits within Radware's existing Cloud Application Protection Services, offering MSSPs and enterprises an immediate way to address GenAI-related risk without redefining established workflows.
2. Agentic AI Protection Solution -- Launched in early February 2026, this runtime security technology goes beyond prompt control to safeguard autonomous AI agents -- software entities that can act on behalf of users, interact with systems, and make decisions without direct human input.

As organizations deploy AI agents to automate tasks, streamline workflows, and improve decision-making, they expose themselves to novel threats that traditional guardrails -- such as static policy controls or perimeter firewalls -- were never designed to address. Radware's approach introduces behavioral analysis and real-time intent detection specific to the scale and autonomy of modern AI.

How Radware's AI Security Tools Work

According to Radware, its agentic AI security solution uses external algorithmic behavioral analysis to monitor how agents interact with tools, data stores, and systems -- enabling it to detect and mitigate threats such as prompt injection, tool abuse, unauthorized data access, and other malicious behavior in real time.

Key elements of the portfolio include:

• Discovery & Visibility: Detects both homegrown and third-party AI agents and maps the resources and services they access.
• Intent-Based Security: Uses runtime behavioral algorithms to identify abnormal or malicious agent actions, including multi-step and cross-agent workflows.
• Deep Integration: Extends protection to custom agents and major third-party platforms such as Microsoft 365 Copilot, Copilot Studio, and AWS Bedrock.
• Continuous Posture Management: A dynamic "Risk Graph Map" that continuously scores an organization's AI security posture, highlighting risk paths and potential exposures.

The security stack is also aligned with the OWASP Top 10 for Agentic AI -- a set of emerging standards used to define priority risk areas -- and leverages the AI Vulnerability Scoring System (AIVSS) to assess and prioritize core security threats.

Why This Matters

The rapid adoption of AI -- particularly generative AI and autonomous agents -- is outpacing many organizations' ability to secure them. As security experts have warned, AI systems can interact with infrastructure, APIs, and sensitive data in unintended ways, creating new attack surfaces that evade conventional defenses like firewalls and endpoint detection.

Radware's enhanced portfolio addresses this gap by combining pre-execution filtering (via LLM Firewall) with runtime monitoring and behavioral defense (via Agentic AI Protection) -- a layered approach designed to secure both the inputs and actions of AI systems. This is especially relevant for MSSPs, which can integrate these tools into cloud environments or on-premise networks to offer AI security services to a broader base of clients.

The post Radware Combines AI Agent, LLM Firewall Tools to Deliver Comprehensive AI Security Portfolio for Enterprises and MSSPs appeared first on PRISM MarketView .

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