Radware LLM 防火墙

Radware代理式AI防护

Harness the full power of AI agents while protecting against their risks.

How Radware Agentic AI Protection Works

第一

AI agents boost productivity and efficiency, but attackers can manipulate them to access information, leak data, cause legal issues, and damage your business and brand.

第二

Radware Agentic AI Protection monitors and blocks agent-targeted manipulation and attacks without affecting your agentic AI experience.

第三

Our AI-powered protection stops all types of agent attacks and abuse by automatically identifying intent and responding in real time.

第四

Map, monitor and integrate with all types of AI agents to ensure your organization stays productive and secure.

Take Control of Your AI Agent Activities

See Your Entire Agent Environment

See Your Entire Agent Environment

Use full visibility into your agent ecosystem to discover your agents, tools and their interactions before you fall victim to threats.

Secure and Control Agent Activity

Secure and Control Agent Activity

Understand intent, apply guardrails and respond in real-time to agent-based threats including indirect prompt injection, jailbreaking, supply chain attacks and more.

Integrate Within Agent Ecosystem

Integrate Within Agent Ecosystem

Work seamlessly with the latest leading enterprise and homegrown platforms, AI services, and cloud solutions.

Govern Your AI Security Posture

Govern Your AI Security Posture

Continuously monitor risks throughout the agent lifecycle and across SaaS, homegrown and end-user devices. Track risks with our Risk Graph Map!

CISO’s Guide to Agentic AI Cover

CISO’s Guide to Agentic AI

Get a CISO-level view of the agentic AI threat landscape, along with specific tips for safeguarding your business in the AI agent era.

阅读CISO指南

功能

Agent Tools Discovery

Continuously discovers all types of agents and tools across environments

Agent Relationship Mapping

Maps agent connections and dependencies

Agent Behavior Analytics

Tracks usage trends, anomalies and performance changes

Rich Agent Metadata

Provides visibility into agent configuration, usage and tools

LLM Guards

Builds guardrails to protect against prompt injection, jailbreaks and unsafe outputs

Agent Behavioral Protection

Maintains runtime monitoring of agent actions and intents, detecting and mitigating malicious activities

MCP Tool Control

Allows or blocks tools as needed per agent

Real-time Security Posture

Identifies and scores risks across agents and tools. Completes and elaborates on attack story

Full Execution Risk Graph Mapping

Captures agent workflows across all AI environments for clear source risk

GigaOm给Radware五星级AI评分,并将其评为应用与 API 安全雷达报告的领导者。

GigaOm徽章

Security Spotlight: Elements of AI Agent Protection

Agents & Tool Discovery

Agents & Tool Discovery

Map all agents and their accessible tools.

LLM防火墙

LLM防火墙

Control usage, validate prompts and prevent injection or data leaks.

Behavior Guardrails

Behavior Guardrails

Monitor tool calls and block goal-divergent actions.

Secure Agent Access and Analytics

Secure Agent Access and Analytics

Limit system entry, and track agent activity, model usage and tool interactions.

一目了然

100M

Number of monthly users achieved by ChatGPT just in two months

55%

Surveyed businesses highly or extremely concerned about a shortage of staff with AI security skills

30%

Apps using AI to drive personalized adaptive user interfaces by 2026—up from 5% today

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