Keep the power of AI automation,
with stronger infrastructure control.
SVCE is the execution environment that keeps the Clevi-X platform’s AI agents operating safely by isolating, governing, and validating them at the infrastructure layer. Qui a fait quoi et quand est automatiquement enregistré.
SVCE fits organizations that must meet regulatory requirements, operate complex integrated systems, or maintain direct control of their infrastructure.
Financial services · Public sector
Environnements où la réglementation et l’audit sont obligatoires
Enterprise IT
Unified operation of complex systems
Sur site
Direct control of your own infrastructure
Cloud native
Containerized workload operations
SVCE is not a standalone solution. It is the control layer between your infrastructure and the Clevi-X platform that governs every agent execution.
Running agents directly on a server is lightweight but risky; virtual machines are secure but resource-intensive. SVCE closes the gap with lightweight containers.
| Comparison | Agent dans le serveur | VM-based | SVCE |
|---|---|---|---|
| Isolation | Faible | Élevé | High (lightweight) |
| Access control | Implemented in application code | Requires configuration | Intégré à l’environnement d’exécution |
| Isolation par tâche | Difficult | Inefficient | Automatic per container |
| Vitesse de provisionnement · de suppression | Rapide | Slow | Rapide |
| Rentabilité | Élevé | Faible | Élevé |
| Audit logs | Création personnalisée requise | Création personnalisée requise | Journaux intégrés en ajout uniquement |
| AI agent boundaries | Conception personnalisée requise | Conception personnalisée requise | Standard policies included |
Embedding an agent directly in a server may be quick to build, but isolation is weak and control depends on application code.
One failure can spread across the service
When agents run as internal server logic, an error, malicious code, or external attack in one task can propagate across the entire service.
Risk — Potential service-wide outageAccess control depends on application code
Lorsque les autorisations résident dans le code de l’application, il est difficile d’appliquer un contrôle uniforme sur les données sensibles et l’accès aux API.
Risk — Limited control over sensitive data and APIsLes résultats sont difficiles à vérifier
Without a fixed execution environment, the same task may run differently, making reproduction, audit, and result verification difficult.
Risque — Aucune reproduction, aucun audit ni aucune vérification fiablesTreat agents not as simple response systems, but as production-grade workers with security boundaries and explicit execution privileges.
Isolation
Container-based isolation prevents malicious code, abnormal commands, and external attacks from spreading beyond an AI agent's execution space. The container is destroyed after each task to reduce residual-data risk.
Keep every execution inside a secure boundaryContrôle
Les agents ne choisissent jamais leurs propres autorisations. Le médiateur de commandes et l’orchestrateur accordent et restreignent l’accès par tâche, en appliquant différentes limites aux fichiers, aux réseaux, aux API, aux commandes système et aux secrets pour des rôles tels que Recherche, Code et Exécuteur.
Control what agents can and cannot do at the infrastructure layerEfficiency
Lightweight containers start faster than VMs and are created only when work is ready. CPU, memory, I/O, and GPU resources are limited and allocated per task to balance cost and performance.
Use only the resources each task needsScale
Run many users, tasks, and agents at once. Containers scale automatically as requests increase, failures remain isolated to individual tasks, and agents can be separated by role.
Scale reliably across many users and agentsRequests are never executed immediately. Every request goes through the Médiateur de commandes gate, where policy, permission, and approval checks must pass before execution in an isolated container.
Orchestrator determines the container, permissions, network policy, CPU and memory allocation, and maximum execution time for each task.