17 - 19 November, 2026
Bangkok, Thailand
Trust by design: Securing and governing autonomous networks
November 18, 2026
09:00-09:45
Innovate stage
Autonomous Networks
Autonomous operations
Session overview: As AI assumes greater responsibility for operational decision-making, operators must ensure autonomous networks remain secure, explainable and accountable. This session explores how CSPs are embedding governance, resilience and operational trust into Level 4 deployments without compromising the speed and intelligence that autonomy promises.
Building resilient autonomous network operations
Building resilient autonomous network operations
- Using policy-driven automation and intent validation to ensure autonomous actions consistently deliver the desired operational outcomes
- Applying intelligent assurance and closed-loop feedback to verify network decisions in real time
- Embedding operational guardrails that allow autonomous systems to adapt while maintaining service stability and business objectives
- Building resilient AI-native network operations capable of responding safely to changing network conditions and customer demand
- Governance frameworks needed to allow autonomous systems to make increasingly complex operational decisions while maintaining service stability and customer trust
- Monitoring, validating and refining operational feedback, ensuring autonomous actions remain aligned with business priorities and network policies
- Using intelligent assurance, continuous compliance monitoring and operational guardrails to support faster decision-making across multiple operational domains
- How trusted autonomy improves resilience and reduces operational disruption
- Scaling autonomous operations across multiple network domains while maintaining operational stability and service performance
- Using assurance and closed-loop validation to ensure autonomous actions consistently achieve intended business and operational outcomes
- Building confidence in AI-driven operational decisions through continuous monitoring, policy enforcement and measurable KPIs
- Lessons learned from deploying trusted Level 4 capabilities in live production environments
- How operators are evolving operational models as AI takes on greater responsibility for network management
- Defining where human intervention remains essential as autonomous capabilities mature across the network
- Equipping operations teams with the visibility, controls and insights needed to oversee increasingly autonomous environments
- Measuring operational confidence through assurance, explainability and continuous service validation
- Building organizational trust to accelerate adoption of autonomous network operations
- Where should operators draw the line between autonomous decision-making and human accountability for business-critical services?
- What common governance frameworks, assurance models and regulatory principles are needed to build confidence in AI-native telecom operations across multiple markets?
- What new cyber security challenges emerge as AI agents begin collaborating across operational domains?
- How can operators secure increasingly autonomous environments without slowing innovation?
