01
Make the requirement testable.
Turn source text, technical standards, and deadlines into explicit product decisions.
Shadow AI Detection & Governance Tool
Detection and governance tooling for unauthorized ChatGPT/Claude usage with corporate data, built for CISOs who need visibility fast.
- Target region
- Global / EU
- Why this matters now
- Employees widely use consumer LLMs with corporate data without approval, and CTOs/CISOs are actively searching for audit tooling to catch it.
Built around the problem buyers actually name.
The entry point is specific. The implementation still accounts for the systems, evidence, approvals, and edge cases behind it.
- 01
shadow AI detection tool
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AI governance framework B2B
- 03
unauthorized LLM usage monitor enterprise
A delivery path your team can inspect.
AI Governance & Shadow AI Auditing should end in a system people can operate, not a document that creates another translation step.
02
Fit the systems already in place.
Map owners, data sources, approvals, and failure paths before choosing the software shape.
03
Ship evidence with the feature.
Include the operational trail, documentation, and maintainable architecture the requirement demands.
Bring us your current system and deadline.
If shadow ai detection & governance tool is on your roadmap, describe what you run today and where the requirement gets stuck. An engineer will reply with a concrete first step within one business day.