The business context
AI assistants increasingly work with internal documents, customer information and business tools. As their responsibilities grow, organizations need clear answers to practical questions: What information can the system process? Which actions require authorization? What happens when a request conflicts with company policy?
These questions matter to the technology team introducing AI and the security, privacy and operational teams responsible for its use.
The project
EnclaveAI is being developed to bring policy-driven controls and decision visibility into AI interactions. It supports inspection of requests and responses, safeguards around sensitive information and reviewable records of enforcement decisions.
The product brings these concerns into a shared control environment, allowing teams to examine how configured policies affect AI behaviour.
An illustrative scenario
An internal assistant receives a request involving customer information. The organization needs to assess whether the proposed use is permitted, apply the appropriate restriction and retain enough context for a later review.
EnclaveAI addresses this class of problem through configurable enforcement and audit visibility.
What a pilot could evaluate
A focused pilot could examine policy coverage, inappropriate blocking, handling of sensitive requests, integration effort and the usefulness of decision records to reviewers.
Who it is relevant to
Technology leaders, AI platform teams, security teams and organizations evaluating AI in sensitive business workflows.
Private walkthrough
Explore the controls relevant to your use case, review representative decisions and discuss how the product could fit your operating environment.
Discuss your AI governance requirements →