Radware LLM Firewall

Radware LLM Firewall

Secure generative AI use with real-time, AI-based protection at the prompt level.

문의처

솔루션 개요 읽기

How Radware LLM Firewall Works

1번

LLMs follow open-ended prompts to satisfy requests, risking attacks, data loss, compliance violations and inaccurate or off-brand output.

2번

Radware LLM Firewall secures generative AI at the prompt level, stopping threats before they reach your origin servers.

3번

Our real-time, AI-powered protection secures AI use across platforms without disrupting workflows or innovation.

4번

Ensure safe, responsible artificial intelligence for your organization.

라드웨어 AI 알아보기

Secure and Control Your AI Use

Protect at the Prompt Level

Protect at the Prompt Level

Prevent prompt injection, resource abuse and other OWASP Top 10 risks.

Secure Any LLM Without Friction

Secure Any LLM Without Friction

Integrate frictionless protection across all types of LLMs.

Comply With Global Policy Regulations

Comply With Global Policy Regulations

Detect and block PII in real time, before it reaches your LLM.

Protect Your Brand—and Your Reputation

Protect Your Brand—and Your Reputation

Stop toxic, biased or off-brand responses that alienate users and damage brand.

Enforce Company Policies and Ensure Responsible Use

Enforce Company Policies and Ensure Responsible Use

Control AI use across your organization, ensuring precision and transparency.

Save Money and Resources

Save Money and Resources

Use fewer LLM tokens, compute and network resources because blocked prompts never reach your infrastructure.

API 보호 솔루션 요약 커버

Solution Brief: Radware LLM Firewall

Find out how our LLM Firewall solution lets you to navigate the future of AI and LLM use with confidence.

솔루션 개요 읽기

특징

Inline, Pre-origin Protection

Catches user prompt before it reaches the server, blocking malicious use early on

Zero-friction Onboarding and Assimilation

Requires virtually no integrations or customer interruptions. Configure and go!

Easy Configuration

Offers master-configuration templates for multiple LLM models, prompts and applications

Visibility With Tuning

Allows extensive visibility, LLM activity dashboards and the ability to tune, adjust and improve

GigaOm gives Radware a five-star AI score and names it a Leader in its Radar Report for Application and API Security.

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Security Spotlight: What New Risks Come With LLM Use?

Extraction of Data

Extraction of Data

Attackers steal sensitive data from LLMs, exposing PII and confidential business data.

Manipulation of Outputs

Manipulation of Outputs

Manipulated LLMs create false or harmful content, spreading misinformation or hurting the brand.

Model Inversion Attacks

Model Inversion Attacks

Reverse-engineered LLMs reveal training data, exposing personal or confidential data.

Prompt Injection and System Control Hacking

Prompt Injection and System Control Hacking

Prompt injections alter the behavior of LLMs, bypassing security or leaking sensitive data.

한눈에 보기

30%

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

77%

Hackers that use generative AI tools in modern attacks

17%

Cyberattacks and data leaks that will include involvement from GenAI technology by 2027

애널리스트 보고서

에이전트 인터넷: 차세대 위협 표면

A comprehensive primer on the rise of agentic AI—and the cybersecurity future that’s already here.

자세히 보기
e가이드

CISO's Guide to Security in the Age of AI

Learn about today's biggest cybersecurity challenges and the ways you can use artificial intelligence to stay secure.

자세히 보기
솔루션 개요

라드웨어 클라우드 애플리케이션 보호 서비스

본 솔루션 개요는 하이브리드 환경의 애플리케이션 보안 문제 및 라드웨어의 애플리케이션 보안 서비스에 대한 개요를 제공합니다.

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솔루션 개요

LLM 방화벽

Discover how Radware secures generative AI use with real-time, AI-based protection at the prompt level.

자세히 보기

30일 무료 평가판

한 달 동안 클라우드 WAF 서비스를 테스트하면서 라드웨어의 애플리케이션 보호 방법에 대해 확인하실 수 있습니다.

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