Your company data is leaking into AI tools right now.
Every message to AI tools like ChatGPT, Claude or Gemini is one paste away from exposure. Alesia catches sensitive content on the device, before it ever leaves.
macOS
WindowsHere is the Q3 forecast for seatbase.io. Revenue is tracking at $4.2M, and the deploy key is ak_live_9f3d...ce21.
Source code, customer records, unreleased plans, credentials. Your employees share all of it with AI tools every day. And nothing in your current stack catches it.
DLP wasn't built for AI
Email- and endpoint-era tools miss the chat surfaces where the leaking actually happens.
Cloud inspection is its own exposure
Routing employee content through a third party is its own privacy exposure, and a non-starter for security review.
Blocking AI drives it underground
Freeze adoption, or employees use it in secret. Either way, you lose.
Say yes to AI. Contain the risk.
Organizations block AI over leakage risk. Employees work around heavy, complicated policy. Either way you lose speed, trust, or both. Alesia removes the trade-off: safe adoption for the organization, in-flow protection for the employee.
The whole experience is one short moment.
Alesia acts at the single point of a potential leak. It is not a keylogger, an activity tracker, or a productivity monitor.
Use AI as normal
The employee works with their assistant exactly as they usually would. Nothing changes in their flow.
invisible on normal activity
Alesia intercepts
If something looks sensitive, a prompt appears before send: the category, the severity, and a clear choice.
Send anyway / Cancel
Decision recorded
The choice and the triggering category go to the organization as metadata. The message that triggered it never does.
metadata only
One guardrail, every AI surface.
Detection, governance, and visibility — all on the device. Pick a capability to go deeper.
Straight answers.
No. All detection runs locally on the device. Message content is never transmitted to any server. Only metadata about an event (category, severity, and the employee's decision) is shared with the organization.
Stop sensitive data walking out through AI tools.
Request access for your security team. We'll set up policy seeding and a deployment plan that respects the privacy boundary.