Background

Firewall for AI

An LLM firewall to protect generative AI from prompt injection attacks, harmful output, and sensitive data exposure

AI-centric security built for today’s digital landscape

Akamai Firewall for AI protects enterprise AI apps and LLMs from prompt injection, data exfiltration, and toxic output. Secure interactions with your AI in real-time and at the edge. Improve compliance and safeguard privacy in AI interactions.

Protect AI interactions from evolving threats

Block prompt injection and jailbreaks

Detect and block prompt injections, jailbreaks, and harmful queries before they reach your AI model.

Filter harmful and unsafe AI output

Filter out toxic, biased, or misleading content while preventing unauthorized data exposure with AI content moderation.

Deploy with ease and flexibility

Run Firewall for AI at the edge to inspect prompts and responses before they reach AI apps. Extend protection with flexible deployment options.

How Firewall for AI works

Inspect AI inputs

Analyze incoming prompts to detect and block threats like prompt injection attacks, jailbreaks, and policy violations.

Filter AI outputs

Review generative AI responses to prevent data leaks, toxicity, prohibited topics, and compliance violations.

Adapt security rules

Leverage learnings and modernizations to continuously refine protections against evolving risks.

Features

  • Detects and blocks prompt injection, jailbreaks, and adversarial inputs targeted at your LLM
  • Protects LLM inference by blocking attacks at the edge
  • Meets AI governance and compliance standards by safeguarding sensitive data with policy-based controls
  • Filters and moderates responses to prevent toxic, misleading, or noncompliant AI-generated content from reaching users.
  • Offers flexible deployment options via Akamai edge or REST API for easy integration and adaptability

Firewall for AI Use Cases

Protect AI applications from threats while ensuring compliance and trust.

Securing AI chatbots and virtual assistants

Akamai Firewall for AI secures chatbot interactions by preventing prompt injections, jailbreaks, and unauthorized data extraction.

AI-generated responses can be reviewed for adherence to compliance standards by filtering out toxic, misleading, or harmful content. This helps businesses maintain brand reputation and regulatory compliance while delivering trusted and safe AI experiences.

By leveraging real-time AI monitoring and adaptive cybersecurity policies, organizations can confidently deploy AI chatbots at scale — without the fear of security breaches — in ways that traditional WAF or WAAP solutions cannot.

Stop jailbreak attacks and prompt injection

AI-driven search engines and recommendation systems are vital for personalized user experiences, but they can be exploited. Attackers may use prompt engineering techniques to manipulate responses, extract proprietary information, or introduce bias into search results.

Akamai Firewall for AI defends against these threats by analyzing both AI inputs and outputs in real time. It applies guardrails that detect and block attempts to manipulate AI-driven jailbreaks, prompt injections, and toxicity.

Additionally, the solution safeguards against personally identifiable information leaks and intellectual property theft by inspecting for unauthorized data disclosures in AI-generated responses.

Protect data from exfiltration and theft

AI systems can access valuable proprietary knowledge and sensitive datasets, making them prime targets for attackers. Without proper security, adversarial actors can use model extraction techniques, prompt manipulation, or API abuse to steal or misuse AI-generated insights.

Akamai Firewall for AI provides multilayered protection by securing LLMs against unauthorized queries, adversarial inputs, and sensitive data access attempts. It enforces real-time monitoring and adaptive filtering, protecting against attackers extracting sensitive business intelligence, confidential data, or proprietary AI training information.

By leveraging enterprise-scale security and flexible deployment options, businesses can ensure that AI-powered solutions remain safeguarded against evolving cyberthreats so organizations can confidently deploy AI models while mitigating legal and reputational risks​​.

Frequently Asked Questions (FAQ)

Frequently Asked Questions (FAQ)

The firewall analyzes and filters input queries in real time to detect and block malicious prompts, jailbreak attempts, and adversarial queries. It protects against attackers manipulating AI-generated responses or extracting confidential data through input manipulation​.

Yes. Firewall for AI monitors generative AI responses and applies guardrails to block toxic, misleading, or offensive content. It helps ensure AI-generated outputs remain brand safe, policy compliant, and free from regulatory violations​.

Akamai Firewall for AI is model-agnostic and works with any LLM-based or AI-driven application. It protects AI models hosted on-prem, in the cloud, or in hybrid environments from the edge​.

Akamai’s solution is designed for low-latency AI security, leveraging edge computing to minimize overhead.

The firewall can enforce policy-driven AI security to help meet regulatory requirements, such as AI governance frameworks (AI TRiSM, OWASP Top 10 for LLM Applications). It helps organizations prevent unauthorized data exposure, toxic outputs, and adversarial misuse​.

The firewall detects unauthorized queries and data scraping attempts designed to extract AI model knowledge or proprietary training data. It can block malicious actors from exploiting AI vulnerabilities for model theft or unauthorized knowledge extraction​.

An AI firewall, such as Akamai Firewall for AI, is purpose-built to inspect the deep payloads of generative AI inputs and outputs in real time. Unlike a WAF or generic gateway, an AI firewall actively detects and blocks AI-specific vulnerabilities outlined in the OWASP Top 10 for LLM Applications. In short, traditional gateways secure the delivery of the data, while an AI firewall secures the actual intent and safety of the AI conversation.

Resources

How to Recognize LLM Attacks

As AI transforms a business's operations, defending against these threats isn’t optional; it’s essential.

AI Reconnaissance: The Missing Layer in Chatbot Security

Understand how attackers map AI systems before launching prompt injection attacks.

See if you qualify for up to US$5,000 in cloud credits

AI is accelerating. So are its risks. Are you protected?

Firewall for AI is purpose-built to protect generative AI apps and large language models from emerging threats — with precision, speed, and control.

  • See how to stop prompt injection and data leakage
  • Learn to block harmful inputs and clean risky outputs
  • Explore easy ways to add protection anywhere you run AI
  • Request a demo and take control of your AI security.

Request a demo and take control of your AI security.

Schedule your demo in two easy steps:

  1. Submit the form
  2. Book a time with our team