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AI Governance

AI Governance Frameworks Built for Regulated Industries

AI without governance is a liability. We help organizations deploy AI safely with policies, controls, and oversight that satisfy regulators and protect data.

83%

of organizations lack automated AI security controls (Kiteworks 2025)

What is AI Governance?

AI Governance is the set of policies, controls, and oversight structures that ensure an organization's use of artificial intelligence is secure, compliant, ethical, and aligned with business objectives. It covers data handling, approved tool lists, access controls, monitoring, and accountability for AI-driven decisions.

Employees are adopting generative AI tools faster than most organizations can govern them. Without a governance framework, sensitive client data, financial records, and intellectual property can end up inside public AI models with no audit trail. Veracity Technologies builds AI governance programs that define which tools are approved, how data flows are monitored, who is accountable, and how compliance with frameworks like SOC 2, HIPAA, and CMMC is maintained as AI adoption grows.

Framework

Core Components of an AI Governance Program

01

Approved Tool Registry

A vetted list of AI tools cleared for use, with documented data handling and security review.

02

Data Classification Rules

Clear rules on what data can and cannot be shared with AI systems, based on sensitivity.

03

Access & Usage Monitoring

Continuous visibility into who is using which AI tools and what data is flowing through them.

04

Accountability Structure

Defined ownership for AI-related decisions, incidents, and policy updates.

FAQ

Common questions about ai governance

Does AI governance slow down AI adoption?

No - done correctly, governance accelerates safe adoption by giving employees clear, approved paths to use AI instead of resorting to unauthorized tools.

Is AI governance required for compliance frameworks like SOC 2 or HIPAA?

Increasingly, yes. Auditors are beginning to ask about AI tool usage and data handling as part of standard compliance reviews.

Who should own AI governance inside an organization?

Typically a cross-functional owner - often IT or a vCIO working with leadership - since AI governance touches security, compliance, HR policy, and operations.

See where ai governance fits in your overall technology maturity

The Business Technology Assessment scores your organization across AI readiness, cybersecurity, compliance, and automation maturity - and shows exactly where to start.

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