Large language model is a neural network trained on large text datasets to model and generate human language. It matters in enterprises because it underpins automation, search, and analytic capabilities across many text-based workflows and integrates into data and application platforms.
March 31, 2026
Gigamon reported 51% deep observability market share in 2025, citing AI-driven traffic growth and a forecast near $2.1B by 2030.
March 23, 2026
Cycode announced its Agentic Development Security Platform for an agentic development lifecycle. The platform adds orchestration via Cycode Maestro, real-time guardrails for AI agents and code outputs, AI governance for shadow AI and policies, and AI-specific risk detection aligned to OWASP LLM guidance, positioned for enterprise use.
March 18, 2026
Itential says agentic ops need deterministic rails, skill-based guardrails, and gated onboarding to reduce failures when running high-volume network tasks.
March 11, 2026
Netskope details tools to decode MCP traffic and enforce access and DLP for agentic AI in public and private environments.
February 27, 2026
Ericsson completed a pre-standard 6G over-the-air session in Plano, demonstrating cloud-hosted LLM processing, robotics control and real-time video streaming.
February 26, 2026
Polystar said it would introduce four AI-driven capabilities at Mobile World Congress 2026.