Gain clear visibility into AI systems by evaluating risks, opportunities, and performance while efficiently managing models, datasets, and deployment processes.
Assess and classify AI systems against EU AI Act requirements and streamline third-party AI evaluation. Implement a risk-management framework.
Identify risk in training data sets and de-risk inputs. Effectively protect and govern data in the ML pipeline through automated policy enforcement and remediation actions.
Manage documentation and policies to translate them into technical controls. Trigger notifications, user tasks, and application updates with ease.
Generate reports, dashboards, AI impact and conformity assessments, and model cards for internal and external stakeholders.
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