In mid-July, Microsoft chairman and CEO Satya Nadella posted an essay on X that named a problem facing security and compliance leaders: the Reverse Information Paradox. Nadella said companies “essentially pay for intelligence twice” — once in licensing fees, and again in the proprietary knowledge they hand over to make large language models perform well. His prescribed fix was a hard “trust boundary,” where enterprises should own their prompts, evaluations, and adapted models, keeping the learning their AI usage generates inside their own walls. Security practitioners describe the exposure as running through two doors. The first is the foundation model itself: sending a prompt to an external provider gives that provider a window into a business’s operations, and some providers train future models on customer data. In 2023, engineers at Samsung reportedly pasted confidential source code into ChatGPT, discovering the material had effectively left the building. The second door runs through SaaS-based AI security tools, where a prompt submitted to an outside vendor may be swept into that vendor’s own training data, and these tools can expose files to employees who were never meant to see them. Tumeryk.ai, an AI trust and governance platform recently named a Gartner Cool Vendor in AI Cybersecurity Governance, was built for this moment.