Enable teams to address a variety of use cases
Effective AI risk management is achieved by ensuring that your models are validated across their lifecycle to protect against security, ethical, and operational risk. Robust Intelligence provides security, data science, and compliance teams with a comprehensive solution to meet their distinct needs.
Security & Privacy
Effective AI security starts in development and remains active throughout production. Commercial and open source models present a supply chain risk, but any model may contain vulnerabilities or be fooled into making incorrect predictions. Harden your models against such vulnerabilities by using our suite of black-box adversarial attack tests to continuously scan your models, inform your training algorithms, and detect novel attacks.
Governance & Compliance
Asserting model compliance is a tall order for risk teams given the rapidly evolving regulatory landscape and reliance on data scientists to explain and interpret technical results. Robust Intelligence simplifies AI governance by translating statistical test results into clearly defined outputs that map to the latest regulations and frameworks.
AI models are used in critical decisions, so it’s essential that they consistently perform as expected. There are a number of risks that can occur across the MLOps pipeline. Robust Intelligence rigorously tests models and data across the AI lifecycle across a variety of aspects including model performance, drift, broken data pipelines, and corrupted data.