AI Governance Risk Register

Systematically capture, assess, and remediate governance risks to keep AI trustworthy and compliant.

Continuous Improvement

Risk Register Framework

Create a centralized register that stores AI-related risks, root causes, impact areas, and control plans.

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Define risk lifecycle stages: identification, assessment, response pla

Assign risk owners, mitigation leads, and review cadences for accountability.

Implement risk management platforms connected to control libraries, telemetry, and compliance systems.

Frequently asked questions

What are run risk councils responsible for?

Run risk councils to review register status, escalate critical issues, and approve mitigation strategies.

Who receives dashboards and narratives generated by the system?

Dashboards and narratives are provided to executives, regulators, and auditors to facilitate informed decision-making regarding risk management.

What is the purpose of continuous improvement within the simulator?

Continuous Improvement refers to a commitment to regularly assess and refine the simulation's processes and models to ensure ongoing accuracy and effectiveness.

How are insights from incidents and audits used to enhance the system?

Lessons learned from incidents and audits are systematically incorporated into the risk taxonomy, scoring methodologies, and control frameworks to proactively address potential vulnerabilities.

▶ Try it live

Everything above runs in your browser — open Gradient Descent Visualiser and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Gradient Descent Visualiser simulation