AI arrives through a browser tab, not procurement
The first signal of a new tool is a paste, not a purchase order.
Shadow AI is already in your workforce. Lounar shows you the tools, the users, the prompts, the costs and where ROI lives. Simple, non-intrusive setup in minutes.
Like malware once spread through email and USB sticks, AI is spreading through browser tabs and personal accounts. Most organizations cannot name a single instance — let alone govern it.
The new exfiltration channel isn’t a file leaving the network. It’s a paragraph leaving a prompt box. Legacy DLP, SSO and SASE see none of it.
Even with no ill intent, data shared into AI tools can expose the organization to regulatory action and class claims. Negligence is the new theory of the case.
AI is the next phishing — social engineering, exfiltration and prompt injection at the point of work. Lounar sits in context, where users actually are, to protect and educate at the moment of risk.
Identity tools see logins. Network tools see flows. DLP scans files. None of them see the prompts your team is typin. Neither they can see side apps vibe-coded around it. That’s where the most sensitive data is now moving.
See it yourself Get the free Chrome extensionBrowser sessions, API calls, file uploads, third-party connectors, unapproved MCP integrations, internal apps wired up with AI in an afternoon. Today’s stack sees almost none of it.
PII and proprietary data flowing into AI engines expose the organization to regulatory action and class claims — even when nobody meant any harm.
License counts tell you what was bought. AI minutes per team tell you what was saved. Without that, every AI investment defends itself in anecdote — and the savings sit on the table.
Most policy violations happen by accident. Lounar warns at the moment of risk, so a careless prompt doesn’t become a career event. Peace of mind for the people doing the work.
Consistent across sectors. Independent of AI maturity.
Compare See your org against these patternsThe first signal of a new tool is a paste, not a purchase order.
Browsers outside identity management are where sensitive prompts land.
DLP was built for files. AI risk is text. Different signal entirely.
Awareness training rarely covers what to paste, what to redact, when to escalate.
AI use is not evenly spread. It collects around a small number of tasks.
Licenses tell you what was bought. Minutes tell you what was used.
We measure what is actually happening through AI maturity assessments – at the point of work, in the prompts, on the devices, across the workforce. Multiple dimensions. Dozens of signals, continuously re-scored.
Score your org Walk through the framework with usDoes AI strategy match what the workforce is actually doing in AI tools, every day?
Is AI integrated into core workflows, or sitting as parallel experiments that never materialize?
How safely does sensitive data move through AI surfaces, and how enforceable is policy?
Is competence spreading across roles and teams, or pooled in a few power users?
How quickly does the organization absorb new model classes, agents, AI traffic and emergent workflows?
Annual surveys. Press releases. Patent counts. Job postings. Board bios. A snapshot of intent that ages the day it ships.
Live signals from the workforce itself – what tools, which teams, what data, how often. Maturity becomes a measurement, not a claim.
Don't let AI decisions to be made on assumptions or hallucinations.
Tools, users and teams mapped. Personal accounts included.
Real time detection of PII, secrets, names, URLs, emails and phone numbers in AI traffic.
Plain language policy. Compiled to enforceable rule. Audit trail to your system of record.
Configuration through G Workspace, Intune, Atera, Jamf and similar apps. No proxy. No new apps or browsers.
Member level adoption, coverage, time to first event, dormant users.
Time in AI per user per day, broken out by team, tool and use case.
Each lens is the answer to one of the questions above.
Live demo See the console in 20 minutesLive now. Covering the daily realities of AI visibility, privacy, audit and rollout.
Try one piece Free PII shield for Chrome17 classifiers run locally by default. Escalations are non attributable.
Every event exports to your SIEM, EDR or system of record. Internal models train on de personalized data only.
Every detection, override and reviewer action preserved.
Integrates with HRIS or identity providers. Google Workspace identity supported now.
Clean FERPA posture. We retain only what your policy requires.
Visibility across the leading providers your workforce is actually using — both prompts in flight and content sitting in connected accounts.
Focus on AI Fluency by knowing where AI works for your organization, where it doesn’t, how to make every employee competent at it, and into the new surfaces AI itself is creating: agents, MCP traffic, autonomous actions.
Plan together Map your 12-month AI roadmapPersonal accounts. Free tools. Sensitive prompts. No visibility, no policy, no usable evidence.
Six lenses. Real time PII detection. Plain language policy compiled to rule. Audit to your system of record.
The same layer extends outward into how people work with AI, and inward into the new surfaces AI itself is creating.
From regulated enterprises to fast-moving consultancies — we deploy where AI use is high and visibility is low.
Every week without visibility is a week of compounding risk and missed return. We’ll walk you through the patterns we’re seeing in the field, mapped onto your environment.