Automated red teaming to satisfy AI risk standards and regulatory compliance

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Robust Intelligence product screen about Fraud Detection model feature
Continuous Validation
Test models and data across the AI lifecycle to prevent risk early and deploy with confidence.
Pair AI Firewall with continuous validation for comprehensive AI risk management.

Identify risks early in development

Testing models in development is a foundational AI risk management practice. Our platform uses hundreds of specialized tests, as well as algorithmically-generated red teaming attacks, to automatically identify model vulnerabilities and unintended behavior. These tests are run in the background in a CI/CD manner, working unobtrusively to facilitate innovative development.
RI product screenshot about Key Findings showing security risk and fariness risk
Robust Intelligence product screen

Spot new risks in production models

The benefits of testing extend to production models. Our platform continues testing models periodically and analyzes the outputs over time. This allows us to identify a wide variety of issues, including novel security threats, data drift, biased predictions, and anomalous data. Our alerts and thresholds, coupled with detailed test results, shortens your time to resolution.

Validate models quickly

Manual, ad hoc testing is time intensive and incomplete. Our automated platform validates models comprehensively in a fraction of the time, translating statistical test results into clearly defined outputs that meet major AI risk frameworks and regulatory requirements. This is especially important when you have a large number of models or versions are updated regularly, such as with third-party LLMs.
Robust Intelligence product screenRobust Intelligence product screen
Robust Intelligence product screen

Enforce custom AI risk standards

When it comes to model testing, one size does not fit all. While we offer hundreds of tests out-of-the-box, you can easily tune the parameters and add custom tests to meet your needs. These risk standards can be applied to every model used in your organization, turning passive frameworks into active risk mitigation practices.

Run at enterprise scale

Large, high-dimensional data increases vulnerability. We ensure that all your AI model pipelines are secure, no matter their size.

Broad set of supported tasks

Support for everything from named entity recognition to object detection to learning to rank.

Seamless
integrations

Plug in your favorite machine learning libraries and run on your preferred platforms.

Automated Compliance Checks

AI regulations are constantly evolving. Stay abreast of these changes by automatically measuring your model’s compliance to an ever-expanding set of regulations.
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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