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 ![Trampolyne Shadow AI Detection & Runtime Control Platform](https://images.g2crowd.com/uploads/product/image/large_detail/large_detail_20300057198451bcc3b2dbfab887d76e/trampolyne-shadow-ai-detection-runtime-control-platform.png "Trampolyne Shadow AI Detection & Runtime Control Platform")
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# Trampolyne Shadow AI Detection & Runtime Control Platform Discussions

Trampolyne Shadow AI Governance enforces what employees can and cannot share with public AI tools. It works across web LLMs, LLM APIs, and MCP-enabled workflows before data leaves the organisation. Unlike DLP tools built for email and file transfers, Trampolyne evaluates AI-specific surfaces in context: it assesses text, documents, images, and code not just by content match but by provenance, user role, and data classification before making a policy decision. When a sensitive data transfer is blocked, the interaction is logged with full context - what was shared, by whom, which policy triggered, what was blocked, and why. Exception workflows let security teams handle legitimate business use without broad exemptions. Every interaction is logged, timestamped, and queryable for incident investigation, regulatory audit, or data handling disputes.

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