Post-Deployment: AI Firewall

Protect your model in real-time

Stop bad data from entering your AI system.

Fraud model dashboard
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Real-time protection against anomalous data

Production models will inevitably receive “bad” data that they weren’t trained to support. Our AI Firewall can be configured to intelligently flag, block, or sanitize data points before they ever reach your model. This helps eliminate failure and boost model performance.

Automate the validation of your data and model pipeline

Manual validation of every new dataset and model can be incomplete and take a painstaking amount of effort. Our AI Firewall automates the task of testing data quality. As each model is deployed, we auto-configure a custom set of requirements, ensuring trust and reducing time spent writing custom validation logic.
Image containing Model Status (Passing, low issues, medium issues and high issues)

Flexible treatment of anomalous data

Rl uses the learnings of stress testing to automatically configure the AI Firewall, but there is customizability in the treatment of aberrant data. Choose to change the default configuration to flag, block, or impute identified bad data points.

Reduce model downtime

All models eventually need to be retrained. The AI Firewall runs a comprehensive suite of validation logic on incoming production data in real time. It's able to surface key issues and alert on especially problematic data points so that the user is able to take proactive remediative actions. This end result is reduced model downtime.

Intelligent model vulnerability protection

Our AI Firewall is automatically configured from the weaknesses discovered during AI Stress Testing.

Blazing fast real-time processing

Protect your model against bad data points in near real-time, introducing minimal latency.

Simple to deploy

Deploy in a single line of code with our easy-to-use Python library interface.

Integrate seamlessly

Connect into your production AI framework, with hooks into model inference as well as downstream monitoring applications.
"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
"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
"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
“Robust Intelligence serves as a guidepost for us to instill machine learning integrity.”
Ram Bala
Sr. Principal Data Scientist
“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
"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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