Netscout Announces 'NETSCOUT Data Platform' to Reduce AI Operational Costs

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Netscout Announces 'NETSCOUT Data Platform' to Reduce AI Operational Costs

Published2026.09.15 09:06

Generating Smart Data Through Packet-Level Real-Time Analysis

Netscout unveiled the 'NETSCOUT Data Platform,' which performs real-time analysis of packet data across enterprise network infrastructure and delivers it as smart data based on operational context. The platform focuses on improving the quality of data fed into AI models to reduce token usage and computing costs.

Netscout unveiled the NETSCOUT Data Platform on the 15th.

The platform observes enterprise digital interactions, transactions, and user experience in real-time, and converts network packets into high-precision context-based evidence.

The converted data can be utilized across observability, service assurance (SA), cybersecurity, and AI workflows.

Sanjay Munshi, Chief Operating Officer of Netscout, stated, "Through 'Context Engineering' that provides AI with the correct operational context, enterprises can realize AI effectiveness across the organization," and added, "In our internal testing, we reduced AI token usage by over 25% and MTTK by over 75% compared to using only MELT data."

The NETSCOUT Data Platform combines two capabilities: △early semantic extraction and △context optimization at source.

Early semantic extraction derives operational meaning from packets at the moment network traffic is observed, preserving evidence before data reduction and sampling.

Context optimization at source selects and manages extracted semantics to increase context density and improve efficiency of the AI system's context window and computing budget.

Gartner forecasts that by 2027, organizations that prioritize semantics in AI-ready data will increase agentic AI accuracy by up to 80% and reduce costs by up to 60%.

IDC also predicts that 80% of agentic AI use cases will require data with real-time characteristics and context.

The platform supports three domains regardless of the enterprise's level of AI transformation, the company explained.

Smart data is not only embedded in Netscout solutions but can also be integrated with enterprises' existing AIOps platforms, data lakes, and SIEM environments.

SecOps, AIOps, cloud, and ITOps teams can maintain existing workflows while improving analysis accuracy and reducing false signals, the company stated.

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