96%
reduction in mean time to resolution
300+
response actions across your tools
1,000s
of analyst hours saved through automation
Playbooks break as the environment changes
A new tool, a renamed field, or a reorg breaks playbooks, forcing teams to find and fix each broken playbook by hand.
Automation ignores the case
Playbooks run the same steps no matter what the case shows, so teams only automate low-risk actions.
Triage is the bottleneck
Automation cannot start until an analyst finishes investigating, so every response waits on the slowest step.
Building playbooks requires specialists
Writing playbooks takes engineers who know both the SOAR tool and scripting, and the context lives in a few engineers' heads.
Can AI SOAR act without our approval?
Only where you have pre-authorized it. Approval is set per action and per connector, so you can start fully gated and open up as confidence builds.
What if an action turns out to be wrong?
Containment steps are reversible by design, and every run is logged with who, what, and why.
Do we have to replace our current SOAR?
No. AI SOAR can hand cases to the automation platform you already run, and you can move workflows over at your own pace.
Do we need engineers to build workflows?
No. Start from a template, build on the visual canvas, or describe the workflow and let Artemis build it. Python steps are there when you want them.
Does AI SOAR work without AI SOC or AI SIEM?
Yes. Workflows can run from schedules, webhooks, Slack, or reported emails. AI SOAR does the most on cases Artemis has already investigated.
What if a tool has no native action?
Use the generic HTTP step to call any API, or ask Artemis to build the connector, usually within 48 hours.
How do we measure what automation saves?
The Overview dashboard reports time saved with workflows and response actions taken, over the same window as your other SOC metrics.
How is AI SOAR priced?
On the size of your organization and the number of users, with no charge per action or per workflow run.


