S4E can generate custom security actions using AI. Actions are microservices that run independently, and the AI engine can create new ones based on your specific needs. AI-generated actions are available for on-premises and paid cloud customers.
Overview
The S4E Action Library contains a growing set of prebuilt actions, but every environment has unique requirements. AI-generated actions allow you to:
- Describe a security task in natural language and let AI build the action as a microservice.
- Create custom monitoring, alerting, and remediation workflows tailored to your infrastructure.
- Deploy actions that run independently on a schedule or triggered by specific scans.
Note
AI-generated actions are available for on-premises deployments and paid cloud subscriptions. Free-tier users can browse and assign prebuilt actions from the Library but cannot generate custom ones.
How It Works
- Describe the action you need -- what it should check, monitor, or automate.
- The AI engine generates the action code, parameters, and execution logic as a microservice.
- Review the generated action, test it in a sandbox environment, and refine as needed.
- Submit the action for approval.
- Once approved, the action becomes available in your Action Library and can be assigned and activated like any other action.
Availability
| Deployment | AI Action Generation |
|---|---|
| On-Premises | Available. Actions run as microservices within your own infrastructure. |
| Cloud (Paid) | Available. Actions run on S4E's managed infrastructure. |
| Cloud (Free) | Not available. Use prebuilt actions from the Library. |
For on-premises customers, AI-generated actions are deployed as microservices within the existing Kubernetes cluster, giving full control over execution, networking, and data flow.
For paid cloud customers, requested actions can be generated and deployed by S4E upon request or through the AI Intelligence Studio interface.
What's Next?
- Action History -- View action execution history.
- Playbooks -- Combine actions into orchestrated workflows.