The Robust Intelligence platform

Automated validation for protection against AI risk
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Comprehensive AI risk management

The Robust Intelligence platform automates end-to-end security of AI models. Each production model is protected with an AI Firewall that is custom-fit to weaknesses surfaced in a pre-deployment validation. End-to-end risk management is achieved by two major components in the platform:

AI Firewall

Protects production models against attacks, operational and ethical threats, and undesirable responses via an API that validates inputs and outputs in real time.

Continuous Validation

Ensures AI models and data are validated as part of the AI lifecycle by surfacing weaknesses via automated red teaming, establishing a standardized audit record for their health, and tracking adherence to standards and regulatory compliance.

Identify model vulnerabilities

AI models introduce risk in the form of vulnerabilities and erroneous predictions. Our platform executes hundreds of algorithmically-generated tests to identify risks and vulnerabilities throughout development and production. This process of continuous validation enables organizations to mitigate AI risk and meet regulatory standards.
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Robust Intelligence product screenCode block with example of a code
Continuous Validation:


Evaluate production models over time

Identify and remediate vulnerabilities early for all model types
Enforce model standards across your organization
Supplement our robust test suite with custom tests to meet your needs
Simplify model governance and compliance with auto-generated reports

Mitigate AI risk

AI models need to account for anomalous and malicious inputs, as well as unexpected model behavior. This is especially true for generative AI since outputs are passed to users immediately. Robust Intelligence offers several controls to reduce risk. Our AI Firewall inspects inputs and outputs in real time to prevent factual inconsistency, toxic outputs, prompt injection, data leakage, and other undesired responses. Our model registry enables users to choose from alternative, safer models when continuous validation exposes risk.

Measure and manage risk

The ability to identify and quickly address new risks in production models and data is essential to keeping AI systems production-ready. As our platform exposes new risks through continuous validation, we send alerts in real time. Alerts and thresholds can be customized and managed to your specifications and integrate with your preferred tools and workflows.
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Automate reporting and governance

Effective AI governance is nontrivial. Our platform translates continuous validation results into automatically-generated model cards. Our governance dashboards provides a high-level view of the status of all your AI models in production. This simplifies your audit readiness and compliance requirements and maps to AI regulatory frameworks.

Robust Intelligence is Enterprise Ready

Any model,
any data

Our blackbox testing approach is agnostic to model architecture. We support all major modalities including generative AI, tabular, natural language processing, and computer vision models.

Secure architecture

Robust Intelligence is SOC 2 compliant. We keep sensitive data in your environment by deploying a customer agent that only sends summary data back to the Robust Intelligence cloud. See our Trust Center for more information.

Easy to use

Use powerful REST APIs and the Python SDK to programmatically access Robust Intelligence, allowing you to integrate into existing platforms and automate AI workflows. Use our intuitive UI to visualize and share results.


Robust Intelligence seamlessly scales to process production workloads on the order of billions of data points and hundreds of models.

Seamless integration with your AI workflow

The Robust Intelligence platform offers native integrations into your AI development pipeline. Simply connect your data and model to initiate AI risk management.
Example Workflow
Stream data and extract features from your cloud data storage
Train your AI model
Automatically validate your model and log the test results to your experiment tracking framework
Wrap AI Firewall around your model with one line of code and deploy to production
Detect novel security risks and identify anomalies to mitigate future AI risk

Any data

Any model

Any platform

Technology partners

We open-sourced our AI Risk Database in partnership with MITRE ATLAS to tackle supply chain risk in third-party models.
Our technology partnership enables companies to test models natively within Databricks to protect companies from AI risk.
Our integration with MongoDB Atlas Vector Search allows companies to enhance LLM outputs while safeguarding against undesired responses.
Our integration enables Datadog customers to seamlessly monitor AI risk in real time in their preferred observability platform.
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"Robust Intelligence helps our data science teams standardize our pre and post-production ML testing practices, reducing time-to-production and the inherent risk associated with ML deployments. Expedia runs hundreds of models in production, developed by multiple teams, which serve hundreds of millions of predictions a day. Robust Intelligence enables our data science teams to continue building cutting edge AI models while minimizing failures."
Dan Friedman
VP of Data Science
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"As the FDA continues to emphasize removing bias in ML models, the Robust Intelligence Platform is well-positioned to ensure that models in production are robust in a standardized, automated fashion while also being flexible enough to comply with rapidly evolving regulatory guidelines."
Alex Zhong
Senior Manager, Machine Learning & AI Research
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"Using the Robust Intelligence Platform, we were assisted in the quality control process (which previously was carried out manually) and proceeded with development more efficiently, robustly, and uniformly. The technical skills of the Robust Intelligence engineers are extraordinary."
Eiji Yoshida
Head of IOWN Innovation Office
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“Robust Intelligence serves as a guidepost for us to instill machine learning integrity.”
Ram Bala
Sr. Principal Data Scientist
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“Tokio Marine Group utilizes AI across various business areas, from claims services, product recommendations to customer support. Despite the immense benefits of AI, the more we apply AI into our business, the severer the consequences of AI risks are. Robust Intelligence provides unique and unparalleled offerings to identify and address AI vulnerabilities that are otherwise very hard to recognize. We are committed to working with them and further accelerating our business collaboration.”
Masashi Namatame
Chief Digital Officer
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"Seven Bank leverages AI at the core of our ATM services and financial services, addressing societal needs and challenges from our customers’ perspective. Robust intelligence ensures the quality of such models, which are critical to AI utilization. By constantly guaranteeing the state of AI against changes in customer behavior, service needs, and other potential changes, RI enables us to take a big leap forward in applying AI to bring our services even closer to our customers."
Yoshiyuki Nakamura
Assistant General Manager, Corporate Transformation
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"As companies operationalize AI at an accelerated rate, the consequences of model failure are amplified. Companies must put in measures throughout the model lifecycle to eliminate negative social and economic impact. Robust Intelligence, which instills integrity in ML models, brings additional strength to NEC’s extensive experience and knowledge in using AI. The companies will work together to build and operate AI systems in a safe, reliable, and fair manner for NEC's customers across industries."
Hitoshi Imaoka
Senior Director