AI usage review
Sort the real AI leaks from the noise.
An operator reads your AI-usage events, finds the real exposures and drafts the note to the employee and the ticket. Your security team approves before anything is sent.
- ISO 27001
- GDPR
- Every run auditable
Arrives from the export
M. Lindqvist · Finance · ChatGPT, personal account
Pasted 214 customer rows with names and IBANs
Names the data
Customer bank details
Reads it against your policy
Real exposure
Drafts the note and the ticket
Hi Maria, on Tuesday 214 customer rows with IBANs went into a personal ChatGPT account. Customer bank details stay inside the company. For this kind of work, use the company AI workspace: the data stays with us and is never used to train AI models. Thanks, Security
Jira ticket DP-118 for the data-protection lead
Your yes
Approved · sent · loggedA. Novak, security
- up to 80%less risky AI behavior
- up to 90%less manual triage time
- up to 70%lower data leakage risk
Outcomes reported in this category
Enterprises running operators on Alomana
Six jobs on a week of AI usage
Your tools already catch the events. The operator does the review that comes after.
The export
Reads the events your DLP, browser or network tool exports
The data
Names what was shared: customer data, secrets, code, contracts
The noise
Closes events with public or allowed data, with the reason
The person
Drafts a plain note to the employee, with where to do it instead
The owner
Opens the ticket for whoever owns the data or the key
The report
Writes the week's report: tools, teams, exposures, open tickets
How the operator works a week of AI-usage events
Connect
The event export, your AI policy, Slack and Jira.
Sort the events
Reads each one against your policy.
Approve the notes
You say yes. It sends and logs it.
Give people an approved place for the work.
The note points people somewhere better than a personal account.
Your company workspace
- A private instance for enterprise
- The models your company approves
- Your data never trains AI models
- Every run logged: input, output, tools, user
Nothing reaches an employee without a yes.
- Notes and tickets wait for a person's yes
- A declined action is not retried
- Every run logged: input, output, tools, user
- Measured on
- Analyst hours on AI alerts
- Events reviewed per week
- Time from event to note
- Repeat exposures per person
- Works with
- SharePoint
- Google Drive
- Google Sheets
- Snowflake
- PostgreSQL
- Slack
- Jira
- Your DLP or SIEM via MCP
- Trusted for
- ISO 27001
- GDPR
- Never trains on your data
- Single-tenant for enterprise
A custom operator typically goes live in up to 4 weeks.
Questions security teams ask
What is an AI usage review operator?
An autonomous agent that works your AI-usage review. It reads the events your security tools export, separates real exposures from noise, and drafts the note to the employee, the ticket and the weekly report for your security team to approve.
Does it block prompts to ChatGPT or Copilot?
No. Alomana does not sit between your people and outside AI tools. Your DLP, browser or network tool catches the event, the operator works through what it caught, and Alomana gives your people an approved place to use AI with company data.
Does it message employees without approval?
No. Slack notes, tickets and every other send or write wait for a person's yes. A declined action is not retried, and every run is logged: input, output, tools and user.
Which systems does it connect to?
Alomana has 20+ connectors, including SharePoint, Google Drive, Google Sheets, Snowflake, PostgreSQL, Slack and Jira, activated per deployment. Your DLP tool or SIEM connects through a remote MCP server, or through an export to one of these.
Can our people use Alomana for their own AI work?
Yes. Teams use AI in your company's Alomana workspace, with the models you approve. Your data is never used to train AI models, and every run is logged.
Is our security data private?
Alomana is ISO 27001 certified and GDPR-compliant, and your data is never used to train AI models. Enterprise deployments run single-tenant, in a dedicated instance.
Bring one week of AI-usage events.
Talk it over with sales: what the operator needs from your systems, and how it goes live.
Alomana is a secure enterprise AI platform where autonomous agents, called operators, run business processes end to end. Every run is fully auditable.