UnityOne AI uses predictive analytics and machine learning to anticipate incidents before they impact operations. Rather than simply reacting to alerts, it identifies patterns, automates remediation, and recommends optimizations — shifting your teams from reactive to proactive.

It correlates metrics, logs, traces, events, and topology across every layer into unified incidents, then pinpoints the probable root cause with supporting evidence — so engineers start with the cause, not a wall of symptoms.

Continuous compliance checks map your environment to common frameworks, automated audit evidence is always on hand, and policy-driven guardrails keep configurations and access within approved bounds.

Yes. It provides a single control layer across on-prem data centers and AWS, Azure, GCP, and OCI, discovering and tracking resources automatically as environments change.

By automating discovery, configuration, and reporting, and by surfacing idle and over-provisioned resources with rightsizing recommendations — cutting both manual toil and wasted spend.

Automation spans discovery through remediation with agentic AI, and every action runs under configurable guardrails and approvals — so teams choose exactly how much to automate.

Sensitive operational data stays within your private AI environment and predefined guardrails, backed by role-based access, audit logging, and continuous security monitoring.

Agentless discovery and real-time CMDB sync mean fast time-to-value, with a guided rollout so teams adopt the platform without disrupting existing operations.