Employees are using AI tools your security team never approved. Developers are wiring unapproved models into production workflows. Vendors are quietly shipping AI features inside software you already trust. Trussed gives you visibility into all of it, and the controls to govern it without just blocking it.
Most enterprises discover their shadow AI exposure the same way, a breach, an audit finding, or a regulator's question nobody can answer.
ChatGPT, Gemini, Claude, employees paste confidential documents, customer records, and internal data into public models daily. No audit trail. No policy. No way to know it happened.
Engineers route production traffic to unapproved models, test new providers on live data, or build integrations that bypass the sanctioned AI stack entirely. IT and compliance never find out.
The SaaS tools your teams already use added AI features last quarter. Those features are processing your data, under your regulatory obligations, without ever appearing in your AI inventory.
Autonomous agents access data, call tools, and trigger workflows across systems. When they operate outside approved boundaries, there is no record, no alert, and no one accountable.
Trussed operates in the API and model execution path, which means it sees AI usage that browser-layer tools never reach. Discovery, policy enforcement, audit evidence, and a fast path to sanctioned use, all from one control plane.
Trussed surfaces every model, agent, and AI tool interacting with your data, sanctioned or not, through proxy deployment, SDK integration, and API routing. No more guessing what's in your AI estate.
Once discovered, unsanctioned tools don't have to be blocked outright. Apply your data policies, access controls, and compliance rules to any AI tool in the execution path, turning shadow AI into governed AI.
Every governed interaction produces a timestamped record: who sent what to which model, what data was involved, which policies applied, and what the outcome was. Evidence by default, not by effort.
Blocking alone drives shadow AI underground. Trussed creates the approval path that lets teams adopt AI safely, so the answer is yes with controls, not just no.
Browser-layer and endpoint tools block employees from reaching unauthorized AI applications. That addresses one channel. It does not cover the AI embedded in your approved SaaS tools, the developer who switched models in production last week, or the vendor agent calling your systems through an MCP integration. Trussed sits in the execution path of AI interactions themselves, which means it governs every model, every agent, and every tool call, regardless of how the request originated.
The risk profile is different depending on where your AI blind spots are.
Claims adjusters using personal AI accounts with policyholder data. Underwriting copilots processing non-public customer information outside approved systems. Every unseen interaction is a potential NAIC bulletin violation.
Clinicians using consumer ChatGPT with patient information. Clinical documentation tools added by a vendor without a BAA review. Shadow AI in healthcare is shadow HIPAA exposure.
Analysts pasting client data into public LLMs. Developers routing trading or credit data through unapproved models. Shadow AI in regulated finance creates fair lending, GLBA, and SR 11-7 exposure with no audit trail to defend against it.
Most organizations are surprised by what they find. The ones who look before a regulator does are the ones who come out ahead.