AI maturity

AI makes a SOC faster. The loop makes it better.

Adding AI speeds up the work. It doesn’t make your SOC any better at catching what it missed last time.

Maturity comes from a loop: every incident leaves you better covered than before.

A staircase from single alerts to a SOC that learns, with each lesson looping back to the start

Where are you today?

Five steps from alerts to a SOC that learns.

  1. Step 1

    Alerts

    You get alerts. Your team does everything else.

  2. Step 2

    Investigations

    AI works every alert and hands you cases with the evidence attached.

  3. Step 3

    Your coverage

    Detections are tested against your own data, not someone else’s network.

  4. Step 4

    Everyone’s coverage

    One incident anywhere becomes protection for every customer.

  5. Step 5

    A SOC that learns

    Every case, closed or still open, makes the next one easier to catch.

Most AI SOC tools stop at step 2. Ingext is built for step 5.

One incident in. Coverage for everyone out.

A SOC that learns from every attack.

Attackers change their playbook all the time, so the gaps move with them. The analysis of a new campaign takes minutes, so detection is in place almost at once. That is the start, not the finish: every time the system catches a piece of the attack, it goes back and sharpens the signatures, the reporting and the closure.

Minutes
From a new campaign to detections in place.
Every catch
Sharpens the signatures, reports and closure.
3
Points in every loop where a person decides.
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An AI agent does itA person decides
  1. 01 · A person decides

    Start with one real incident

    A real case, a customer escalation or a fresh threat report. Real incidents come with real logs, which makes every later step provable.

  2. 02 · The AI does it

    Rebuild what happened

    AI pulls every record that touches the case and rebuilds the attack minute by minute.

  3. 03 · The AI does it

    Learn the attacker’s playbook

    The case is checked against public reporting and past cases, so the fix covers the next victim, not just this one.

  4. 04 · A person decides

    Test before anything ships

    The real incident must trigger the new rule, variants must trigger it, and normal admin work must not. A person approves the release.

  5. 05 · The AI does it

    Hunt every customer’s history

    The same pattern is hunted across every customer, finding victims nobody has reported yet.

  6. 06 · A person decides

    Close the gaps

    Every step of the attack is checked against the rules already running. A person chooses which gaps to close now.

Each gap that stays open becomes the starting question for the next incident.

Where people stay in charge

Mature means the AI does more. Not that it decides more.

  • Calling the case. A person decides what counts as malicious, and what is an admin doing their job.
  • Shipping. New detections reach customers only after a person reviews the tests and pushes the release.
  • Your environment. Ingext carries out the response itself, within approval rules you set: what it fixes on its own, and what waits for a person in Teams or Slack.
  • Your data. Customer records stay on the platform. Samples are sanitized before they become tests.

Customer story · ASI Connect

3.3×

A Johannesburg MSSP more than tripled its security operation in four months.

Every client now gets hygiene, MITRE ATT&CK and compliance reporting under ASI Connect’s own brand, not just a stream of alert emails.