Trust, But Verify Nothing: How Enterprise AI Adoption Is Repeating the Cloud Era’s Mistakes at Twice the Speed
AI adoption is accelerating across every industry. But according to MixMode’s latest threat report, many organizations are repeating the same mistakes made during the early cloud era, only this time at a much faster pace.
The report, Trust, But Verify Nothing, examines how enterprises are rapidly integrating AI tools, copilots, automation platforms, and AI-powered workflows into critical operations without fully understanding the security, governance, and contractual risks that come with them.
From supply chain compromises targeting AI infrastructure tools to sensitive enterprise data being exposed through poorly governed AI integrations, the report outlines a growing pattern: convenience and speed are outpacing security oversight.
The report explores:
- Real-world AI-related breaches and exposures
- The risks hidden inside AI supply chains and automation platforms
- Why enterprise AI contracts matter more than most organizations realize
- The growing gap between AI adoption and governance
- How organizations can rethink AI deployments while maintaining control of their data
The report also highlights a critical distinction many organizations miss: consumer AI products and enterprise AI agreements are not the same thing. Contract terms, data retention policies, subprocessors, and training exclusions can vary significantly depending on the product tier being used.
As AI becomes increasingly embedded into enterprise infrastructure, the question is no longer whether organizations will adopt AI. The question is whether they fully understand the risks they are accepting when they do.