Cloudflare launches AI Firewall to protect large language models from attacks

Mondo Technology Updated on 2024-03-06

On March 4, Cloudflare announced the launch of the AI Firewall for AI, a layer of protection that can be deployed in front of large language models (LLMS) to identify abuses before they reach the model. While the number of AI models, specifically LLMS, has proliferated, customers have stated that using LLMS as part of a connected application introduces new vulnerabilities that can be exploited by bad actors. Firewall for AI is an advanced web application firewall (WAF) tailored for applications that use LLMS. It will contain a set of tools that can be deployed in front of the application to detect vulnerabilities and provide visibility to model owners.

LLMS is an AI application that can understand human language and other types of complex data, and they can be used in a variety of scenarios, such as text generation, text summarization, machine translation, sentiment analysis, question answering systems, and more. The advantage of LLMS is that they can generate diverse and creative outputs based on user input, providing a better user experience and value. The challenge with LLMS is that their output is uncontrollable and uncontrollable, which can lead to security and ethical issues such as data breaches, model tampering, content abuse, bias, and discrimination.

As a result, Cloudflare's AI Firewall for AI will provide an additional layer of protection for LLMS to prevent these issues from occurring. The core function of an AI firewall is that it analyzes and evaluates user inputs, identifies malicious inputs that may attempt to exploit the model, such as injection attacks, data theft, model spoofing, etc., and blocks or filters them to prevent them from reaching the model and affecting the model's output. Firewall for AI can also scan and monitor the model's output to ensure that it does not contain sensitive, fictional, or other harmful content, such as personal privacy, copyrighted content, false information, hate speech, etc., and block or remove them to protect the quality and reputation of the model.

Cloudflare's AI Firewall for AI is built on Cloudflare's global network, one of the largest in the world, with data centers in more than 200 cities serving billions of users. The advantage of an AI firewall is that it can be deployed closest to users, providing unmatched capabilities to quickly identify and block attacks, protecting the security and performance of users and models. Another advantage of Firewall for AI is that it's free, and any customer running an LLMS on Cloudflare's Workers AI can enjoy FireWall for AI for free, helping them address the security risks of their AI models and improve the trustworthiness and reliability of their AI applications.

Matthew Prince, CEO of Cloudflare, said, "When new application types emerge, new threats are quick to follow. AI apps are no exception. With Cloudflare's AI Firewall for AI, we're helping to build security into the AI space from the start. We're giving AI models an unprecedented shield that allows businesses to take advantage of the opportunities presented by AI technology while ensuring they're protected."

Cloudflare isn't the only company focusing on AI model security. Globally, many countries and organizations are also actively promoting the research and practice of AI model security, such as the United States, the European Union, the United Kingdom, Australia, Singapore, etc. Among them, the National Institute of Standards and Technology (NIST) and the National Bureau of Standards and Technology (NSA) are leaders in AI model security, and they have developed a series of standards and guidelines for AI model security, providing reference and guidance for the development and deployment of AI models.

AI model security is an important and urgent issue in the field of AI, which is related to the credibility and reliability of AI applications, as well as the social and ethical impact of AI technology. Therefore, we should attach great importance to and actively respond to the challenges of AI model security, strive to improve the level and ability of AI model security, and make our contributions and efforts for the development and future of AI.

Information**

1: cloudflare announces firewall for ai

2: [the owasp top 10 for llms]

3: [ai model security: a survey of existing and emerging threats and defenses]

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