Get AI and Emerging Cloud Services Approved with Confidence
Security review processes are too slow for the business, especially for AI and other emerging cloud services that don't fit your existing process.
Give Cloud Security, GRC, and Engineering a repeatable, risk-based path to approve new AI services (Bedrock, Azure OpenAI, Vertex AI), data platforms, and managed APIs without stalling the roadmap.
What's blocking secure, rapid approval of new tech?
There is no clear, agreed-upon path to make the security team comfortable with new services like AI, data platforms, or managed APIs.
You want the latest capabilities, but nobody owns a risk framework that turns "yes/no" into consistent, defensible decisions.
Get your new tech approved faster
Make the security team comfortable
Give security and GRC a prioritized control set mapped to real threats for each new service, so they can approve with a clear, risk-based rationale instead of gut feel.
Actionable Controls
Push controls straight into engineering tools like JIRA as specific, testable tasks, complete with implementation and validation steps, so work actually gets done.
Adopt the latest AI features
Use a continuously updated feature and controls catalog, including AI services, so you can leverage new cloud capabilities without redesigning your governance every time.
We used to have AI and other new cloud capabilities ready to go, but no clear way to make security and GRC comfortable. With TrustOnCloud's control catalog, we can approve new tech quickly and still show our auditors exactly how it's governed.
Pick a service you're trying to approve. We'll show you the threat model, control set, and how it becomes trackable engineering work.