The telecommunications industry is at an inflection point. As networks grow more complex and the demand for new, AI-driven services accelerates, traditional management approaches are no longer sufficient. At the heart of this transformation is the drive toward autonomous networks—systems capable of self-configuration, self-healing, and self-optimization. A key enabler of this future is the convergence of AI-powered automation with cloud-native, secure infrastructure.
Ribbon Communications is positioning itself at the forefront of this evolution. With platforms like Acumen, the company is delivering AIOps and automation to unify operations across voice and data networks, providing end-to-end observability from Layers 0 to 7. This approach, combined with cloud-native voice deployments – simplifies operations, enhances security, and reduces costs. As operators work to support new AI-driven communications workloads, Ribbon is demonstrating how intelligent automation is essential for building a more resilient and efficient future.
Ram Ramanathan, VP Product Management, Ribbon Communications speaks with Zia Askari from TelecomDrive.com on how Ribbon is helping service providers navigate the path to autonomous networks and unlock the potential of the AI era.
Ribbon has strategically positioned itself as a key player in the “SBC to the Core” transition. With the industry accelerating toward all-IP and next-generation cores, how is Ribbon’s portfolio evolving beyond traditional border control to become a fundamental element of the service layer itself?
The service layer is becoming more cloud-native, automated and integrated as operators move toward all-IP and next-generation networks. The portfolio is evolving to bring together cloud-native SBCs, policy and routing, centralized management, analytics and a common IMS voice core, rather than treating border control as a standalone function.
The Cloud-Native IMS is designed to support 4G VoLTE, 5G VoNR, VoWiFi and VoBB on a single IMS core, while cloud-native SBC and PSX capabilities help operators secure, route and scale those services across evolving networks.
From an architecture standpoint, the emphasis is on microservices, Kubernetes-based deployment, autoscaling, and deployment flexibility across private, public and hybrid cloud environments. This allows operators to modernize voice services without a forklift replacement and align voice with broader cloud and automation strategies.
That same architecture enables a much higher degree of automation across deployment, scaling, healing and lifecycle management—critical as operators look to run voice infrastructure with the same efficiency and agility as cloud-native data services.
These capabilities are already being adopted at scale. Optimum, for example, is deploying Acumen to support AIOps, automation and analytics, improving network visibility and performance as it moves toward more autonomous operations across a multi-vendor network from the edge to the core.
The competitive landscape for core network software is intense. What does Ribbon see as its competitive advantage in winning deals for IMS Core and cloud-native communications solutions in this ecosystem?
Our differentiation centers on combining cloud-native voice infrastructure, automation and migration expertise to help operators modernize at their own pace.
We focus on areas where operators consistently need support: cloud-native modernization without vendor lock-in, carrier-grade scale and security, and a practical migration path from legacy environments. Flexible deployment options span appliances, virtualized deployments and cloud-native environments, supported by microservices-based design, Kubernetes orchestration and CI/CD automation
There is also breadth across the voice stack, including SBC, IMS, policy and routing, management and analytics, combined with long-standing migration experience.
How is Ribbon leveraging its network expertise to provide a more robust, secure CPaaS offering compared to OTT CPaaS providers like Twilio or Bandwidth?
Our focus is on the underlying secure, carrier-grade communications infrastructure that enterprises, service providers and emerging AI-driven voice applications rely on, rather than competing directly as a CPaaS platform.
Beyond STIR/SHAKEN compliance, how is Ribbon combining caller authentication, analytics and automation to help service providers improve fraud mitigation and voice network security?
Security is moving beyond basic compliance. Our approach combines STIR/SHAKEN, fraud mitigation, analytics and automation to help operators protect voice networks more proactively.
Ribbon Call Trust provides a complete STIR/SHAKEN solution that can be combined with reputation scoring, while the broader analytics and automation portfolio focuses on observability, security posture, anomaly detection and faster operational response.
In practice, this strengthens caller authentication, improves fraud detection and reduces operational silos between network security and network operations, rather than treating voice security as an isolated compliance requirement.
As fraudsters change their game dynamically, automation and analytics are increasingly important, helping operators detect anomalies, respond more quickly to threats and reduce the operational burden on security teams.
Migration from legacy TDM/ISUP to all-IP SIP-based networks remains a major undertaking. What are the biggest challenges, and how does Ribbon de-risk this transition?
The biggest challenge is not the target architecture, but maintaining continuity while modernizing deeply embedded legacy services, operating models and skill sets.
A low-risk migration path preserves existing services while moving call control, gateways, session control, management and analytics to a more modern architecture.
This approach combines product breadth with services depth. Ribbon’s professional services team has migrated more than 55 million TDM ports globally, across more than 30 switch technologies, with thousands of offices converted or consolidated.
Tools such as LEAP, Analytics and RAMP support testing, monitoring, troubleshooting and lifecycle management throughout the transformation process.
De-risking centers on preserving service continuity, reducing operational complexity and applying automation and proven migration processes to make modernization more predictable. Automation plays a central role, using analytics, testing frameworks and lifecycle tools to monitor performance, identify issues early and maintain service continuity throughout the transition.
In one large-scale modernization, more than 60,000 users were migrated to a SIP-based architecture over a single weekend, unifying multiple legacy systems without service disruption.
Similar transitions are underway globally. Leading communications technology company, TELUS is moving from legacy TDM infrastructure to cloud-based voice architectures using SBCs, policy and routing to modernize while maintaining service continuity.
Tools such as LEAP, analytics and RAMP support testing, monitoring, troubleshooting and lifecycle management throughout the transformation.
In the 5G era, how is Ribbon addressing the private network opportunity for enterprises?
Across enterprise and specialized deployments, our portfolio is designed to support modern voice and data network requirements with flexible deployment options.
As enterprises adopt private and hybrid network models, the requirement extends beyond connectivity to reliable, secure and fully integrated communications that can operate across both legacy and next-generation environments.
The IMS portfolio provides a common voice core supporting multi-generation services, while the broader portfolio supports the routing, transport, security and automation capabilities needed as enterprises and operators modernize these environments.
A key element is deployment flexibility—the ability to operate across private, public or hybrid environments—combined with automation to simplify lifecycle management as networks scale and evolve.
Looking ahead, what technology or use case is Ribbon most focused on, and how is it investing to lead in that area?
The strongest focus is on AI-powered automation and secure AI voice infrastructure.
Platforms like Acumen, cloud-native voice deployment, and support for AI-driven communications are key parts of the transition toward more autonomous networks.
Our priority is using AI, observability and automation to simplify deployment, strengthen operations, improve security and support new AI-driven communications workloads.
Operators such as Airtel are applying analytics and service assurance capabilities to improve visibility into VoLTE performance and customer experience at scale, supporting more proactive issue detection as networks evolve.
A major focus is the progression toward more autonomous networks, combining cloud-native infrastructure with AI-driven analytics and automation to improve reliability and operational efficiency
This is already extending into enterprise use cases, for example, supporting secure, real-time communications infrastructure for AI-driven contact center platforms such as Salesforce’s Agentforce Contact Center.
