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New AI capabilities help teams search cloud inventory, build dashboards and explore cost and compliance data in plain language, extending Hyperglance's self-hosted cloud management platform.
SAN JOSE, Calif. - Californer -- Hyperglance has launched AI capabilities that help FinOps, cloud and security teams investigate their environments and turn complex cloud data into clearer decisions.
Available in Hyperglance v10, the features let users describe what they need in everyday language. AI generates advanced inventory searches, explains existing search filters, creates dashboards and configures individual widgets. A dashboard chat assistant also answers questions about cost, inventory and compliance data.
Users can inspect generated searches before running them, and review suggested dashboard edits before accepting or rejecting changes.
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Hyperglance connects cloud cost with inventory, architecture and policy findings across AWS, Microsoft Azure, Google Cloud and Kubernetes. Its AI capabilities build on that context, helping teams explore information without manually constructing every query or dashboard.
The platform also supports Model Context Protocol (MCP), allowing compatible assistants to query Hyperglance data from the tools teams already use.
Hyperglance remains self-hosted in the customer's environment. Administrators configure the AI provider connection, and data handling depends on the selected provider or connected assistant.
The launch strengthens Hyperglance's AI for FinOps capabilities, helping practitioners access cloud information and reduce manual analysis.
Read more:
https://www.hyperglance.com/blog/ai-for-finops/
About Hyperglance
Hyperglance is a self-hosted, agentless cloud management and FinOps platform combining cost optimization, infrastructure visualization, security, compliance and automation.
https://www.hyperglance.com/
Available in Hyperglance v10, the features let users describe what they need in everyday language. AI generates advanced inventory searches, explains existing search filters, creates dashboards and configures individual widgets. A dashboard chat assistant also answers questions about cost, inventory and compliance data.
Users can inspect generated searches before running them, and review suggested dashboard edits before accepting or rejecting changes.
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Hyperglance connects cloud cost with inventory, architecture and policy findings across AWS, Microsoft Azure, Google Cloud and Kubernetes. Its AI capabilities build on that context, helping teams explore information without manually constructing every query or dashboard.
The platform also supports Model Context Protocol (MCP), allowing compatible assistants to query Hyperglance data from the tools teams already use.
Hyperglance remains self-hosted in the customer's environment. Administrators configure the AI provider connection, and data handling depends on the selected provider or connected assistant.
The launch strengthens Hyperglance's AI for FinOps capabilities, helping practitioners access cloud information and reduce manual analysis.
Read more:
https://www.hyperglance.com/blog/ai-for-finops/
About Hyperglance
Hyperglance is a self-hosted, agentless cloud management and FinOps platform combining cost optimization, infrastructure visualization, security, compliance and automation.
https://www.hyperglance.com/
Source: Hyperglance, Inc
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