See the AI tools employees actually use.
If you can't see it, you can't govern it. Shadow AI is the tools employees reach for when official channels are too slow or too restrictive.
Every AI surface an employee touches shows up in the org console: models and platforms in use, with metadata-only telemetry. Shadow AI becomes visible, then governable.
- Every AI surface mapped
- Models and platforms in use
- Metadata-only telemetry
- Govern instead of block
How the mapping works
Alesia's on-device agent recognizes AI activity by surface (a browser tab pointed at a known AI chat product, a CLI session using an API key, an IDE plugin calling a model endpoint) and reports which platform and which surface were used, without reading what was typed or generated. Over a week or two, that builds a real picture of every AI tool used across the organization, including the ones nobody rolled out on purpose or ever put through vendor review. The same recognition works whether the tool is well-known or obscure: Alesia doesn't rely on a fixed list of approved AI products, so a brand-new coding assistant or chatbot shows up the same way an established one does.
Finding the tool nobody approved
An engineering team quietly adopts a coding assistant that never went through vendor review. It doesn't show up in your SSO logs because it's tied to a personal account, not a company one. Alesia's console still shows AI activity on those devices, tagged to that platform and surface, enough to start a conversation with the team about moving to an approved tool, without needing to inspect what anyone actually typed into it. Within a month, the security team has a shortlist of the three most-used unapproved tools across the company, ranked by device count, which turns a vague worry about shadow AI into a concrete, three-item conversation with engineering leadership.
What changes for your team
Governance stops being guesswork about which tools are actually in use across the organization. None of this requires employees to install anything extra or change how they work. The visibility comes from what's already running on the device. And because the inventory updates continuously, a policy decision made this quarter doesn't go stale the moment a new tool appears next month.
- A live inventory of AI tools and surfaces, not a survey
- New tools show up automatically, no manual audit needed
- Decide policy per platform instead of banning AI outright
- Metadata only, never the prompts or the output
- Coverage across browser, IDE, and CLI, not just one surface
Bring every AI tool your company uses under one policy.
Talk to our team. We'll scope a rollout for your organization, without compromising the privacy boundary.