Practical AI Governance for Growing Companies
Visibility and guardrails for AI adoption — governance that enables responsible use rather than preventing it.
AI Adoption Is Moving Faster Than Governance
Employees, vendors, product teams, and business units are adopting artificial intelligence faster than many organizations can establish appropriate oversight.
The challenge is not to prevent AI use. It is to understand where AI is being used, what information is involved, who owns the risk, and what controls are appropriate.
NTD Consulting helps organizations establish practical AI governance within their broader cybersecurity and technology-risk programs.
AI Governance Areas
Support can include:
- AI use-case inventory;
- governance roles and accountability;
- acceptable-use standards;
- sensitive-data considerations;
- third-party AI vendor risk;
- access and identity considerations;
- human oversight;
- security review processes;
- documentation and evidence;
- risk classification;
- emerging regulatory requirements;
- integration with existing security and risk governance.
Governance That Enables Responsible Adoption
AI governance should not become a bureaucracy that prevents useful technology from being adopted.
The objective is to give leadership visibility into AI use and establish reasonable guardrails based on risk.
Discuss AI Governance
Start with a conversation about how AI is being used in your organization and where oversight is needed.