Protect from AI uncertainty
Protect from AI uncertainty
Protect from AI uncertainty by defining policies that reflect the organisational, societal and business preferences.
Simplify management and standardize governance
Preserve business and ethical interests by enforcing policies on AI
Enhance the applicability of the ML model with contextual policy implementation across multiple teams and stakeholders
Administer policy controls on data and model outcome
Easily add/edit/modify policies with AryaXAI. Ensure regulatory governance with customizable controls to maintain and modify policies.
Define responsible requirements across a variety of policies
Enhance the applicability of the ML model with contextual policy implementation across multiple teams and stakeholders.
Centralized repository to fine-tune and manage policies
Enable cross-functional teams to define policy guardrails to ensure continuous risk assessment. Centralized repositories can be used to easily add/ edit/ productionize policies.
Version controls to measure and manage AI governance, risk, and compliance
Streamline monitoring and management of policy changes with version controls. Track and retrace policy changes across roles.
