Observability is a system property and telemetry practice that allows enterprises to infer internal system states from external outputs such as logs, metrics, and traces, supporting reliability, incident analysis, performance management, and governance across complex, distributed, and hybrid technology environments.
Aviz and Red Hat describe ONES, ASN, and Network Copilot for AI factory networks, linking orchestration, packet visibility, and AI operations on RHEL/OpenShift.
Speakeasy published a reference architecture for an “AI control plane” to govern AI agents’ access to enterprise systems. The guide defines Connect, Control, Secure, and Observe functions and maps vendor categories (identity, policy enforcement, observability, gateways). It positions Speakeasy’s platform as built across these layers.
NSS Labs publishes two AI security white papers and a new AIPS test methodology focused on runtime guardrails like prompt injection and unauthorized output prevention.
Gigamon cites IDC forecasts that the enterprise network observability market reaches $4.39B by 2029 at 6.5% CAGR. The release links demand to AI, hybrid cloud, and security, and highlights AI-enabled deep observability products and telemetry delivery for visibility, policy enforcement, and governance.