Isolate the AI service
Place Sentinel between the AI platform and production carriers, PBXs or contact-center systems.
Interconnect voice AI agents, CCaaS, Teams, PBXs and carriers through a secure, normalized SIP boundary.
Interconnect voice AI services, CCaaS platforms, carriers and enterprise systems through a normalized SIP boundary that separates experimental services from production voice infrastructure.
Place Sentinel between the AI platform and production carriers, PBXs or contact-center systems.
Control SIP identities, headers, media, codecs, routing and failure conditions.
Apply admission controls, encryption, logging, quality monitoring and rollback procedures.
Download the PDF files directly. Use the documentation portal for configuration guides, installation procedures and release-specific information.
A starting point for your project. Review the model data sheet before ordering.

A compact SBC for a branch or a dedicated SIP edge.

A modular voice edge for sites with mixed telephony interfaces.

An SBC deployed on your virtual infrastructure.
The M5 layer sits between what must be preserved and the destination architecture, making security, translation and failure behavior explicit.
Local phones, a local IP PBX, Mediatrix gateways and Sentinel can exchange SIP calls entirely inside the organization. The voice path can remain on a private LAN, VLAN, campus network or isolated operational network.
The AI or CCaaS service needs an external connection. Sentinel keeps that third-party service outside the trusted internal voice domain and exposes only approved SIP routes.
Routes approved sessions to queues, agents and business workflows.
Take over, supervise or receive calls through the production platform.
Uses logs, limits and routing evidence to control the service.
Applies identity, rate, route and media policy before AI traffic reaches production voice.
Cloud applications originate and receive automated voice sessions.
Connects AI or contact-center calls to the public network.
Reference flow — carrier, platform, jurisdiction and field requirements determine the production design.
Use these checkpoints to evaluate a secure voice edge for ai agents project before product selection or cutover.
The recommended design depends on the deployed carrier, PBX or UC platform, interfaces, call volume, failure modes and regulatory context.| Decision area | Uncontrolled approach | M5 architecture | Acceptance evidence |
|---|---|---|---|
| Interoperability | Assume systems will connect | Normalize signaling and media at a defined boundary | Documented end-to-end call tests |
| Security | Expose internal voice domains | Apply identity, topology and transport controls | Approved routes, certificates and logs |
| Continuity | Cut over every site together | Preserve required services and phase migration | Failover, rollback and exception tests |
| Operations | Treat go-live as the finish line | Assign monitoring, updates and escalation ownership | Runbook, backups and support entitlement |
Share the product, deployment and target outcome. M5 will identify the right technical and commercial path.