Post-Deployment: AI Firewall
Protect your model in real-time
Stop bad data from entering your AI system.
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.
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."
"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."
"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."
“Robust Intelligence serves as a guidepost for us to instill machine learning integrity.”
“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.”
"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."
"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."
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