AI adoption creates a "blind spot debt" of unvetted models, APIs, and agents. Learn the three-pillar strategy to secure your AI supply chain.

The New Stack is a publication covering trends and technologies in cloud-native development, DevOps, and software delivery. Developers can learn about containerization, Kubernetes, and cloud computing, as well as explore topics such as microservices architecture, serverless computing, and continuous integration/continuous delivery (CI/CD) pipelines.

The New Stack

Organizations accumulating 'AI blind spot debt' by allowing unvetted models, unmonitored APIs, and ungoverned AI agents to proliferate without oversight. Three forces drive this: data scientists pulling unvetted open-source models from hubs like Hugging Face, developers using commercial AI APIs that may leak sensitive data, and the rise of MCP servers and custom AI agents with no governance. A three-pillar strategy is proposed to address this: a unified AI asset registry (Register), an automated policy engine for vetting supply chain security and compliance (Curate), and a centralized AI gateway controlling all AI consumption (Access). 63% of companies currently lack formal AI governance policies, and delaying remediation compounds costs exponentially across security, productivity, and compliance dimensions.

The AI blind spot debt: the hidden cost killing your innovation strategy

The anatomy of a blind spot: why you can’t see the debt

Stop accumulating debt. start building your foundation.