Tag: AI governance

Third-Party Risk in Generative AI: Vendor Assessments and Shared Responsibility

Discover how to manage third-party risks in generative AI. Learn effective vendor assessment techniques and build a shared responsibility model to protect your organization.

AI Ethics Boards: Governance Guide for Development Decisions

Learn how AI ethics boards govern development decisions. We cover composition, costs, regulatory drivers, and practical steps to build an effective oversight structure in 2026.

Architectural Standards for Vibe-Coded Systems: Reference Implementations

Explore architectural standards for vibe-coded systems. Learn how to apply governance, reference implementations, and five key principles to secure AI-generated software.

Shadow AI Remediation: A Step-by-Step Guide to Bringing Unapproved Tools into Compliance

Learn how to identify and remediate Shadow AI in your organization. This guide covers inventory assessment, policy creation, technical controls, and compliance with 2026 regulations like the EU AI Act and GDPR.

Ethical AI Agents for Code: How Guardrails Enforce Policy by Default

Ethical AI agents for code are designed to refuse illegal or unethical commands by default, using policy-as-code architecture to enforce compliance without human intervention. This approach is becoming the new standard for trustworthy AI in government, finance, and development.