Shadow AI
Definition: Unauthorized or undiscovered artificial intelligence projects operating within corporate environments without formal approval or oversight, often leveraging generative AI tools for business tasks.
Risks:
- Security vulnerabilities from unsanctioned AI tool usage
- Data leakage and intellectual property exposure
- Compliance failures due to unmonitored AI deployment
- Inconsistent AI model quality and ethics
Management Strategy (per ibm’s Jeff Crume):
- Implement proactive monitoring to identify shadow AI instances
- Establish clear AI usage policies with sanctioned alternatives
- Foster cross-functional collaboration between business units and IT
- Create transparent governance frameworks for AI adoption
Related Concepts:
- AI Governance
- Enterprise AI
- generative-ai
- Unsanctioned Technology
2026 04 14 IBM Shadow ai
Source Notes
- 2026-04-14: [[lab-notes/2026-04-14-Optimizing-AI-Costs-and-Privacy-with-Local-Open-Source-Models-and-Hybr|“But OpenClaw is expensive…“]]