Hyperglance
Hyperglance provides an agentless cloud visualization and governance platform for enterprises that need inventory, security, and compliance oversight across multi-account and multi-cloud environments.
- Cloud resource visualization and dependency mapping for AWS and Azure (cloud management)
- Automated detection of security and compliance risks against built-in and custom rules (cloud security posture management)
- Inventory, configuration, and cost-related insights for cloud resources (cloud cost and asset management)
- Policy as Code (PaC) style governance with alerting and remediation workflows (governance and automation)
- Deployment options including running inside the customer’s own cloud account or virtual network (self-managed Software-as-a-Service (SaaS))
More About Hyperglance
Hyperglance focuses on cloud environment visibility, security, and governance for enterprise and institutional users that operate workloads on public cloud platforms. The platform runs agentlessly inside the customer’s own cloud accounts, connecting to native APIs to build a real-time, read-only inventory and a topology view of resources.
The product is typically used by cloud architects, security teams, and operations staff to visualize relationships between resources such as virtual machines, subnets, security groups, load balancers, and storage. Hyperglance presents these dependencies as an interactive diagram, which assists with understanding blast radius, connectivity paths, and architectural layout across accounts, regions, and subscriptions.
From a marketplace and taxonomy perspective, Hyperglance belongs in categories such as cloud management, Cloud Security Posture Management (CSPM), and cloud governance. The rule engine inspects metadata and configuration of cloud resources against built-in best-practice checks and customer-defined policies. This supports use cases such as enforcing tagging standards, detecting open security groups, identifying unused or underutilized resources, and checking alignment with security and compliance benchmarks.
Hyperglance uses cloud-native services and APIs provided by platforms such as Amazon Web Services and Microsoft Azure. It ingests configuration data using these APIs and stores an index that can be queried for search, reporting, and alerting. The product architecture is typically deployed as a Virtual Machine (VM) or appliance in the customer’s own cloud network, which keeps configuration data within the customer’s environment rather than a shared multi-tenant service.
Compared with generic infrastructure monitoring tools, Hyperglance centers on configuration, dependency visualization, and governance rather than metrics or log analytics. It is often used alongside observability platforms, ticketing systems, and Security Information and Event Management (SIEM) or Security Orchestration Automation Response (SOAR) tools, with alerting and integration workflows forwarding events to external systems for incident or change management.
Enterprises use Hyperglance to support internal controls, cloud review processes, and architecture governance. The capability to define rules and policies enables continuous checks across multiple accounts, with results surfaced through dashboards and notifications. This positions the platform as a component within broader cloud risk management, architecture review, and cost-optimization practices.