Protect your AI applications
with AI Firewall®

Real-time protection, automatically configured to address vulnerabilities of each model.
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AI Protection dashboard

Superior protection of AI applications

AI Protection safeguards production applications from attacks and undesired responses in real time with AI Firewall guardrails that can be automatically configured to the specific vulnerabilities of each model, identified with our AI Validation offering. Our detections span hundreds of security and safety categories, powered by our proprietary technology and pioneering research.
AI Protection diagramAI Protection diagram

Leading guardrail solution powered by proprietary technology

The technology behind our AI Firewall is based on technology developed over the past decade by our founding team. We use a combination of proprietary algorithmic red teaming, threat intelligence pipeline, and policy mappings to automatically generate examples of security and safety failures that update our detections. This gives AI Firewall the broadest coverage and the greatest performance of any guardrail offering.

Advanced detection
and protection

Proprietary techniques including algorithmic red teaming and threat intelligence research are used to continuously update AI Firewall with mitigations against the latest threats.

Algorithmic Red Teaming       

Tree of Attacks with Pruning (TAP), Greedy Coordinate Gradient (GCG), and other algorithmic techniques

Threat Intelligence Feed

Prompt injection, jailbreaks, in-the-wild and adversarial techniques gathered from open and closed sources
Poisoning 0.01% of data used by large models led to backdoors
Security vulnerabilities found in NVIDIA’s NeMo Guardrails
Algorithmic jailbreak of GPT-4 and Llama-2 in 60 seconds
ICML Test of Time Award for our work on data poisoning

Award winning and breakthrough research

Our AI Security Research Team continues to pioneer innovative research on topics including data poisoning, adversarial attacks, and robust machine learning to ensure you’re protected against state-of-the-art threats.

Detections across hundreds of security and safety threat categories

Our proprietary taxonomy classifies hundreds of threats which can be the result of malicious actions, such as prompt injection and data poisoning, or unintentional outcomes generated by the model.

Abuse Failures

Toxicity, bias, hate speech, violence, sexual content, malicious use, malicious code generation, disinformation

Privacy Failures

PII leakage, data loss, model information leakage, privacy infringement

Integrity Failures

Factual inconsistency, hallucination, off-topic, off-policy                                                                                                            

Availability Failures

Denial of service, increased computational cost                                                                                             

Robust Intelligence is shaping AI Security Standards

Co-developed the AI Risk Database to evaluate supply chain risk
Co-authored the NIST Adversarial Machine Learning Taxonomy
Contributors to OWASP Top 10 for LLM Applications

Simple deployment.
Broad security coverage.

Robust Intelligence makes it easy to comply with AI security standards, including the OWASP Top 10 for LLM Applications.
Top 10 for LLM ApplicationsAI Validation CoverageAI Protection Coverage
LLM 01: Prompt injection attacks
LLM 02: Insecure output handlingNot applicable
LLM 03: Data poisoning checksNot applicable
LLM 04: Model denial of service
LLM 05: Supply chain vulnerabilitiesNot applicable
LLM 06: Sensitive information disclosure
LLM 07: Insecure plug-in designNot applicable
LLM 08: Excessive agencyNot applicable
LLM 09: Overeliance
LLM 10: Model theftNot applicable
OWASP Top 10 for LLM Applications
LLM 01: Prompt injection attacksAI Validation CoverageAI Protection Coverage
LLM 02: Insecure output handlingAI Validation CoverageAI Protection CoverageNot applicable
LLM 03: Data poisoning checksAI Validation CoverageAI Protection Coverage
LLM 04: Model denial of serviceAI Validation CoverageAI Protection Coverage
LLM 05: Supply chain vulnerabilitiesAI Validation CoverageAI Protection Coverage
LLM 06: Sensitive information disclosureAI Validation CoverageAI Protection Coverage
LLM 07: Insecure plug-in designAI Validation CoverageAI Protection CoverageNot applicableNot applicable
LLM 08: Excessive agencyAI Validation CoverageAI Protection CoverageNot applicable
LLM 09: OverelianceAI Validation CoverageAI Protection Coverage
LLM 10: Model theftAI Validation CoverageAI Protection CoverageNot applicable

Automatically generate guardrail rules to fit each model

While AI Firewall can be used stand-alone, protection is enhanced by our ability to automatically generate guardrails specific to the security and safety vulnerabilities inherent in each model. Either way, it’s simple to get started with our API-based service.
Standard protections
Out-of-the-box protections against hundreds of security and safety threats 
Enhanced with auto-configured guardrails
Custom fit guardrails to each model’s specific vulnerabilities with AI Validation

Easy to use
with fast time
to value

It’s simple to deploy AI Firewall. All it takes is one line of code to protect your AI applications. Configure policies and automatically block threats with plugins that connect to your web application firewall (WAF).

Protect multiple AI applications

Single deployment can support AI Firewall protection for multiple applications - you choose SaaS or a cloud agent deployed in your environment.


Blazing fast API delivers low latency and seamless scalability of production workloads.

Customize policies

Configurable policies to fit your application’s use case, such as tolerances for explicit language and what constitutes sensitive information.

Seamless integrations

Integrates seamlessly with your tools and workflows, enabling you to easily add protection to any AI-powered application.

Protect your AI applications

AI Firewall protects your application, no matter your use case or industry, adding an essential security and safety layer. Three of the most common use cases today are:

Foundation Models

Foundation models are at the core of most AI applications today, either modified with fine-tuning or purpose-built. Learn what challenges need to be addressed to keep models safe and secure.

RAG Applications

Retrieval-augmented generation is quickly becoming a standard to add rich context to LLM applications. Learn about the specific security and safety implications of RAG.

AI Chatbots & Agents

Chatbots are a popular LLM application, and autonomous agents that take actions on behalf of users are starting to emerge. Learn about their security and safety risks.

AI Firewall seamlessly integrates with your stack

See all our Partners

Lena Smart

Chief Information Security Officer
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Generative AI introduces an unmanaged security risk, which is compounded when enriching LLMs with supplemental data. Robust Intelligence's AI Firewall solves this critical problem, giving enterprises the confidence to use LLMs at scale. Our partnership makes it easier for customers to use generative AI while also keeping their data secure with guardrails in place.

Roger Murff

VP of Technology Partners
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We are seeing rapid adoption of a lakehouse by companies that are forward-thinking about machine learning and AI. Machine learning integrity through continuous testing is one of the keys to their success. We're excited to partner with Robust Intelligence on the Databricks Lakehouse Platform to enable customers to fully realize the value of machine learning and AI.

Toshifumi Yoshizaki

Corporate Senior EVP and CDO
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NEC is currently working with Robust Intelligence to evaluate LLM performance and eliminate risk by combining our knowledge and technology. By delivering NEC's Japanese LLM that pursues the highest quality in terms of both performance and safety, we will accelerate the use of AI in various industries, driven by generative AI, and contribute to corporate innovation.