#USA #Menlo Park #AIOps #Vitria Technology #Knowledge Plane

Vitria Unveils Groundbreaking Self-Evolving Knowledge Plane for Autonomous Operations

At the 2026 FutureNet World London event, Vitria Technology has revealed a game-changing advancement in autonomous network operations: the Autonomous Knowledge Plane featuring Self-Evolving Knowledge. This innovation signifies a pivotal shift from traditional probabilistic AI to knowledge-based operations that are both explainable and increasingly autonomous.

As telecommunications providers move towards 5G-Advanced and Network as a Service (NaaS), they encounter the limitations of conventional data-centric approaches, which often lack contextual understanding. Existing observability platforms and AIOps solutions primarily detect and correlate events but fail to grasp the real relationships and dependencies inherent within the systems involved. Vitria aims to rectify this gap by seamlessly integrating self-evolving knowledge into operational workflows. This approach grounds AI agents in the actual context of networks, services, and operations, thereby mitigating ambiguity and overcoming the 'trust gap' that has historically hindered autonomy in operations.

The Core of the Innovation: Self-Evolving Knowledge

At the foundation of this advancement is the VIA Knowledge Plane, a continuously evolving living knowledge layer that combines telemetry, topology, and institutional knowledge. It autonomously extracts information from Configuration Management Databases (CMDB), logs, metrics, and historical incidents to construct dynamic ontologies adhering to W3C semantic standards. The outcome is a knowledge-powered digital twin that encapsulates the relationships between infrastructure, virtualized functions, and services, enabling AI to reason, act, and enhance its capabilities over time.

Dr. Dale Skeen, co-founder and Chief Technical Officer at Vitria Technology, emphasized the necessity of understanding in autonomous operations: "Autonomous operations require more than just data; they necessitate comprehension. As agent AI elevates the demand, operating without that understanding is no longer merely a limitation—it's a risk. Vitria's Self-Evolving Knowledge Plane transforms AIOps from a reporting system into a comprehension system, allowing agent AI to reason through complex systems, act with precision, and improve outcomes over time, providing a reliable path to autonomous operations."

From Signals to Root Causes and Solutions

The immediate impact of this innovation is evident in complex, multi-domain scenarios. In a recent deployment, Vitria traced a decline in user experience within the radio network to resource constraints on a virtualized transport layer router, pinpointing the root cause across different layers and triggering automated corrections. As a result, the resolution was achieved up to 80% faster, alongside a reduction in manual effort by 50% to 80%.

Key Differentiators

• - Deterministic Reasoning: AI operates within a verifiable knowledge plane, guaranteeing precise and explainable decisions.
• - Federated and Shared Intelligence: Continuous knowledge acquisition enhances operational capabilities.
• - Standardized and Transparent: Boasting operational proofs and adhering to established standards.

Utilized across some of the world’s largest networks, VIA AIOps is achieving incident resolution rates exceeding 95%, demonstrating high levels of automation while detecting and addressing issues proactively before they impact users.

Vitria Technology is set to showcase these groundbreaking innovations at FutureNet World London in April 2026. For further information on this transition from data-driven to knowledge-based operations, visit Vitria.com.