- Model sprawl occurs when multiple AI models proliferate across the organization without a cohesive strategy, leading to inefficiencies, security vulnerabilities, and increased management complexity.
- Shadow AI—AI models and tools developed or deployed without formal approval—poses a different risk to organizations. These rogue implementations can create hidden security gaps, compliance issues, and operational headaches of all varieties.
- Observability refers to the ability to monitor AI tools across an infrastructure, which is essential for diagnosing issues, optimizing performance, and ensuring reliability.
- Transparency refers to the ease with which stakeholders understand model operations and decision-making processes . This is particularly important in building trust and ensuring regulatory compliance.