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:
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.
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.
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
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.
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.
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
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.