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AI SOC analyst for your security stack

Pay for decisions, not digging.

armor360 is an AI analyst that investigates each alert it is given and hands your team a verdict, with the evidence behind it. Your people review and decide.

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76 s
median time to a verdict across our lab runs, with a clear queue
$0.10 vs $20
to investigate an alert: armor360 against an analyst by hand, illustrative
On-premises
everything, our AI model included, can run in your network
Illustrated example
  • ElasticElastic Security
  • CrowdStrikeCrowdStrike
  • OktaOkta
  • Microsoft 365Microsoft 365
  • AWSAWS
  • Palo AltoPalo Alto Networks
armor360Takes in alerts from your toolsWaiting 38
  • New login on the payments server03:07
  • PowerShell downloaded a file03:05
  • Many failed logins for j.smith03:04
  • New access key for a cloud admin03:02
  • Port scan from 10.0.4.702:58
  • Script ran on a finance laptop02:55
3 people on shift+32 more waiting

Alerts from many tools pile up faster than people can read them.

Alerts line up by what matters: real attacks first, each with a verdict and the reason for it.

Works with the security tools you already run

  • Elastic Security
  • Splunk
  • Microsoft Sentinel
  • CrowdStrike
  • Microsoft Defender
  • Okta
  • Microsoft Entra ID
  • Jira
  • ServiceNow
  • Slack
  • Microsoft Teams
  • PagerDuty
  • MISP
  • VirusTotal
  • Kibana
  • AlienVault OTX
  • AbuseIPDB
See all integrations

Too many alerts, too few people.

Most alerts are never looked at, and building a team that could look at them is out of reach for most companies.

A day of alerts

4,330

security alerts a day at the average enterprise

37%

of those alerts investigated by its team

63%

not investigated

Each square stands for about 43 alerts. Investigated by the team Not investigated

Source: Ponemon Institute 2026, commissioned by Crogl

The team it would take

9 people up to 14

$1.4M+

a year for a full security operations team: 9 to 14 people, $1.4M to $2.1M with tools

Source: Published estimates

Where we come in

armor360 takes the first look at each one.

It looks into each alert, lays out the evidence and recommends what to do. Your people make the call.

See what changes

What changes, in time and money.

An illustrative scenario: 150 alerts a day, $60 an analyst hour. Change any number on the pricing page.

Illustrative scenario: by hand against with armor360
MeasureBy handWith armor360
Who investigatesAn analyst, 20 min eacharmor360, about 76 s in our lab
Cost to investigate one alert$20 of analyst time$0.10 to run
A person’s time per alert20 min, investigating and deciding3 min to review and decide ($3)
Staff time a month1,500 h225 h
Cost a year, staff and running$1.08M$167k ($162k staff, $5,400 running)
People it takes10.5 FTE1.6 FTE

150 alerts a day, $60 an analyst hour, 360 days a year. Before armor360’s own price, which is by quote.

  • 1,275 h a month back

    About 8.9 FTE of capacity to put to other work. Capacity, not jobs cut.

  • $918k a year of staff time

    The value of the time freed, before armor360’s price. Not a cash saving unless you change how that time is spent.

  • About $0.10 to run an investigation

    Hardware, power and the model, worked out per investigation: about $5,400 a year at this volume. No cloud AI invoice for each alert.

  • One reviewer, about 160 alerts a day

    At 3 minutes a review, one person can check that many finished investigations in an eight-hour day.

How long the agent takes: a median of 76 seconds an investigation in our lab with a clear queue, and 195 seconds across all 196 lab runs, busy evenings included. The investigation shown on the product pages is one of the deepest: 13 questions in 5 min 35 s. Lab results, not customer data.

Run your numbersSize a quote

From alert to decision, in five steps.

The agent does the digging. People make the call.

  1. 1

    An alert arrives

    armor360 takes new alerts from your SIEM and endpoint tools, day and night.

  2. 2

    The agent investigates

    It does the routine checking by hand: which machine, who uses it, what else happened nearby, where it connected.

  3. 3

    You get a verdict

    Real attack, suspicious, harmless or not sure, how sure it is, and the events behind it.

  4. 4

    Your team decides

    It recommends the next step. Your people review, decide and act.

  5. 5

    It learns from you

    Corrections become what armor360 knows about your company next time.

Built on your data, with people in charge.

armor360 sits on the security tools you already run. Its agents do the routine work with our own fine-tuned AI model, and keep every step for your people to check and approve.

Your tools

  • Elastic Security
  • Splunk
  • Microsoft Sentinel
  • Microsoft Defender
  • CrowdStrike Falcon
  • Elastic Fleet
  • Okta
  • Microsoft Entra ID
  • Any OIDC provider
  • MISP
  • VirusTotal
  • AlienVault OTX
  • AbuseIPDB
  • Jira
  • ServiceNow
  • Slack
  • Microsoft Teams
  • PagerDuty
  • Email
  • Kibana
  • Any tool, by webhook

armor360 platform

AI agents

The routine work of a security team, from the first look to the record

  • Investigate
  • Correlate
  • Hunt
  • Tune rules

armor360 AI

Our own model, fine-tuned by our team for security work

  • Fine-tuned model
  • Runs on-premises
  • Data masking
  • Company memory

Evidence and control

Every step kept, and every action approved by a person

  • Evidence store
  • Approvals
  • Audit trail

What teams get

  • Alert triage
  • Faster first look
  • Attack campaigns
  • Threat hunting
  • Detection engineering
  • Coverage gaps
  • Threat intelligence
  • Reports for clients
  • Managed security (MSSP)
  • Compliance and audit

armor360 AI

Our own AI, inside your network.

Deploy everything on-premises, the AI included. armor360’s model is fine-tuned by our team for security work and runs on your own hardware, so your alerts and logs do not have to go to anyone else’s AI.

  • Our own AI model

    Fine-tuned by the armor360 team for security investigations, not a general chat model.

  • Fully on-premises

    The platform and the model run inside your network, so alert data can stay there.

  • No cloud AI bill

    It runs on hardware you own, so no AI provider bills you for each alert.

  • Or hosted, if you prefer

    The same platform and model, run by us and connected to your security tools.

150+ data sources, through Elastic.

armor360's agent searches whatever your Elastic stack collects, and Elastic's integrations bring in data from hundreds of products across cloud, identity, endpoint and network. 150 of them are on the integrations page; a few:

  • AWS
  • Microsoft Azure
  • Google Cloud
  • Microsoft 365
  • Microsoft Entra ID
  • Google Workspace
  • Okta
  • GitHub
  • Cloudflare
  • Windows
  • Linux
  • Kubernetes
  • Docker
  • NGINX
  • Zoom
  • Salesforce
  • Slack
  • 1Password
  • Palo Alto Networks
  • Fortinet
  • Cisco
  • CrowdStrike
  • SentinelOne
  • Zscaler
  • Qualys
  • Trend Micro
  • VMware
  • MySQL
  • PostgreSQL
  • MongoDB
  • Auth0
  • Box

See all 150 data sources

One platform, more than a first look.

The same agent investigates, joins alerts into attacks, hunts, checks rules and watches your coverage. These are real screens.

Alert investigation in the armor360 console.

A plain verdict, with the evidence behind it.

The agent works through each alert it is given the way an analyst would, and ends with real attack, suspicious, harmless or not sure, and how sure it is.

  • Asks the questions an analyst would
  • Collects the records that answer them
  • Explains what happened in plain words
Learn more about alert investigation

Fast, and you can check it.

Speed is only worth having if you can check it. armor360 shows its working and leaves what happens next to your team.

Trust and safety

  • It recommends. People act.

    It does not isolate machines, lock accounts or block traffic.

  • Evidence you can check

    Findings link to the log line, lookup or event behind them.

  • Your data kept apart

    Each customer’s data is kept separate from every other customer’s.

  • A record of what happened

    Who approved what, and when, is kept in the audit trail.

  • Two changes, each approved

    It adds missing log collection or switches a rule on only after a person approves.

  • Your corrections stay yours

    What your reviewers teach it is kept with your data, never shared with other customers.

See where your team’s time goes. Then decide.

Start a free pilot on your own alerts, or put in your own numbers first.

Start a free pilotRun your numbers