The Strategic Role of Telecom Providers Across the AI Value Chain 2026

AI security and safety With their end-to-end visibility of network traffic and data flows, CSPs are uniquely positioned to address the issue of fragmented security across the value chain. Rather than competing with cybersecurity vendors, they can serve as the integration and assurance layer, embedding AI-driven threat detection, compliance monitoring and analytics directly into the network. While traditional security protects the integrity of data and traffic pipes, AI safety ensures models operate as expected. Although the viability of centralized, transparent data oversight remains debated, telcos are well-equipped to provide sovereign controls and compliance layers (such as audit compliance for the public sector and regulated businesses). Customer demand for AI security is accelerating as organizations face rising pressure to secure both data flows and model behaviour. Governments are embedding trust, compliance and sovereignty into policy frameworks, such as the EU’s Gaia-X, the US Clarifying Lawful Overseas Use of Data (CLOUD) Act and privacy regulations such as the General Data Protection Regulation (GDPR), the California Consumer Privacy Act (CCPA) and India’s Digital Personal Data Protection Act. As enterprises deploy increasingly autonomous AI systems, ensuring that models and agents act transparently and within regulatory bounds has become vital. Demand is accelerating, with spending on AI-powered network and cybersecurity systems projected to double49 over the next five years. As agentic infrastructure and use cases expand and AI autonomy increases, CSPs have a clear right to play, harnessing their position of trust to provide AI safety. Their ability to verify model reliability across complex, multi-agent environments is particularly valuable when multiple systems begin interacting across protocols developed by Cisco, Microsoft and Google. AI security and safety functions primarily as an ecosystem enabler, reinforcing telcos’ natural role as trusted intermediaries rather than driving direct return on investment (ROI). The monetization strategy centres on indirect value: strengthening retention, cross-selling adjacent services and positioning telcos as key partners in secure AI deployments. CASE STUDY 12 Cisco’s Digital Resilience with AI and Automation Cisco’s Digital Resilience with AI and Automation initiative uses predictive analytics and automated recovery to protect critical infrastructure. By embedding security controls directly into network hardware, Cisco provides a model for AI-aware network security that telcos can adapt for large-scale operational assurance.50 With their end- to-end visibility of network traffic and data flows, CSPs are uniquely positioned to address the issue of fragmented security. The Strategic Role of Telecom Providers across the AI Value Chain 19