Security posture
Your Monday security brief, already written.
An operator reads last week's findings exports, ranks what an attacker could reach, and drafts the brief and each owner's ticket. A person approves before anything is posted.
ISO 27001 · GDPR · Every run auditable
Weekly posture brief · week 42 · Vantmoor Insurance
Illustrative reviewWhat changed this week
- 13,218
- findings read
- 47
- reachable from the internet
- 9
- to fix this week
The 9 to fix, by owner
- Payments teambilling-api.vantmoor.exampleLibrary with a known exploited flawTicket
- Claims ITclaims-scans-archiveStorage bucket readable by anyoneTicket
- Platform teamrole ci-deployerCan act as admin in productionTicket
- ITvpn.vantmoor.exampleSign-in page without MFA for 23 accountsAsk owner
Accepted
staging-db-07 until 30 Nov
Sources
- Cloud posture findings
- Vulnerability scan
- Internet-facing hosts
- Asset owners
Post the brief in #security and open 9 tickets
Enterprises running operators on Alomana
- 70–80%less alert noise
- up to 92%faster assessments
- up to 90%less manual work
What goes into the brief each week
The triage your team does by hand between the scanners and the Monday meeting.
- 01
Internet-facing and exploitable
Joins scanner findings with your list of internet-facing hosts
- 02
Data left open
Flags storage and databases reachable from outside, with what your tags say they hold
- 03
Identities that reach production
Follows roles and keys in your identity export to what they can touch
- 04
The same issue, twice
Merges a finding two tools report into one
- 05
An owner for every fix
Matches each asset to its team from your owners sheet, or asks
- 06
The weekly report
Writes what changed, what is open and what was accepted, with its sources
How the brief gets written
- 01
Connect
Your exports, your owners sheet, Jira and Slack.
- 02
Rank
The operator joins them in code and ranks each exposure with its reason.
- 03
Approve
A person says yes. The brief is posted, tickets open, the run is logged.
Nothing is posted or filed without a person's yes.
- The operator reads; it never changes your cloud. Fixes go to their owners as Jira tickets
- One yes covers one action; a declined action is not retried
- Every run logged: input, output, tools, user
Run recordIllustrative review
Approved by R. Iyer, security lead · 9 tickets opened · logged
- SEC-311 · Block public read on claims-scans-archive
- SEC-312 · Patch billing-api (known exploited flaw, internet-facing)
- Input
- Week 42: 4 sources, 13,218 findings
- Output
- 9 exposures ranked, 9 tickets, the weekly summary
- Tools
- Code sandbox, Google Sheets (read), Jira (9), Slack (1)
- User
- R. Iyer, security lead
Measured on
- Hours spent triaging findings each week
- Internet-facing exposures open past their deadline
- Days from finding to owner ticket
- Findings with no owner
Works with
- CSV, Excel and JSON exports
- Snowflake
- PostgreSQL
- Google Sheets
- SharePoint
- Google Drive
- Jira
- Slack
- Confluence
- Any remote MCP server
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 does the operator do with our security findings?
It reads the exports your cloud posture, vulnerability and external tools already produce (CSV, Excel or JSON), or the tables in your security data lake. It joins them in code, ranks each exposure by what an attacker could reach, and drafts a ticket for each owner and the weekly report.
Does it replace our scanners?
No. It works on what your scanners find. It does not scan your cloud or the internet and keeps no asset list of its own. It does the review your team now does by hand, between the scanner and the fix.
Can it change our cloud?
No. The operator reads. Each fix goes to its owner as a Jira ticket once a person approves, and your engineers make the change. Any write or send waits for a yes, and a declined action is not retried.
Which systems does it work with?
Exports from any security tool, Snowflake, PostgreSQL, Google Sheets, SharePoint and Google Drive. It opens Jira tickets, posts in Slack and writes Confluence pages, each after a person's yes. Other systems can connect through a remote MCP server you run.
Can the review run every week on its own?
Yes. A workflow can start it on the schedule you set, then send the approver an Approve / Reject message in Slack and wait for the click. Nothing is filed before that yes.
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. Every run is logged with its input, output, tools and user.
Bring last week's findings export.
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.