Effective management of your AI activities with ITNB Governance
ITNB Governance enables you to efficiently control, manage, and monitor your organisation's artificial intelligence (AI) activities. Our comprehensive governance solution ensures that your AI models are strictly regulated, comply with all regulations, and always deliver the best possible performance. With ITNB Governance, you retain complete control and can ensure that your AI systems remain both compliant and high-performing.
Why Choose ITNB Governance?
Comprehensive model governance for generative AI and machine learning.
Cross-platform management: Manage AI models (gen AI and ML) from leading providers such as IBM watsonx.ai™, Amazon SageMaker, Google Vertex, and Microsoft Azure. Our platform supports a variety of AI environments and ensures seamless integration and continuous monitoring.
Model health and performance monitoring: Monitor the health and performance of your AI models in terms of accuracy, drift, bias, and quality. Proactive monitoring allows you to anticipate potential problems and ensure high-performance standards.
Powerful governance and compliance tools: Leverage advanced governance, risk, and compliance features, including approval-based workflows, customisable dashboards, risk scorecards, and comprehensive reporting. Ensure compliance with industry standards and regulatory requirements.
Automated metadata capture: Use our factsheet capabilities to automatically capture and document model metadata throughout the lifecycle. This promotes transparency and accountability in your AI operations.
Benefits of ITNB Governance: Comprehensive governance and compliance for AI systems
Compliance capabilities: Our platform ensures that your AI systems fulfil compliance guidelines worldwide, including EU AI law. With our "nutrition label" for AI, we provide transparent and understandable insights into AI capabilities and performance to ensure your models meet regulatory standards and minimise compliance risks.
Risk management: Proactively identify and mitigate risks through continuous monitoring of fairness, bias, drift, and new LLM metrics. Our automated and scalable tools support operational risk management, policy management, and financial management to ensure the integrity of your AI operations.
Lifecycle management: Manage, monitor, and control AI models from multiple sources, including IBM, open-source communities, and other model providers. Our platform improves scalability and accountability through automated model monitoring and documentation, ensuring efficient handling and long-term sustainability of your AI models.
Risk management: Proactive monitoring and control
Define tolerances and warnings: Define clear tolerances and proactive alerts to monitor accuracy and performance as well as identify new LLM metrics. At the same time, effectively mitigates bias and deviations.
Access to advanced tools: Utilise automated and scalable governance, risk, and compliance tools covering operational risk, policy management, compliance, and financial management.
Centralised repository: Manage risk assessments, key indicators, issue management, and action plans efficiently in a single repository.
Lifecycle governance: Efficient model management
Automated model monitoring: Automate the monitoring, management, and documentation of AI models across the entire lifecycle to improve scalability and accountability.
Model inventory: Organise and track the progress of AI development efficiently with a comprehensive model inventory.
Improved collaboration: Increase collaboration and communication with stakeholders through dynamic, user-based dashboards, charts, and dimensional reports.