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Agentless Environmental Intelligence

Empirically define your IT environment and dependency clusters with AI


Skyview can be ready for use in under an hour, agentless, working on any Hypervisor requiring no configuration


Agentless IT Environmental Intelligence

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Cost Reduction

Consolidate multiple IT tools into a single, agentless and AI augmented technology that requires no configuration

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Discover shadow IT of hardware, applications and services hidden from view, lost or forgotten over many years

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Hardware and application latency to pinpoint where you should spend your IT budget

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Cluster and cloud move groups ensures you correctly and effectively map your on-premises or cloud migration

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Real-time vulnerability assessment and threat assessment

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AI augmented IT environmental intelligence reduces cost and ensures Accuracy

Most IT environments are complex and constantly changing with millions of interdependent components. Manually mapping and analyzing the interdependencies will always be inaccurate due to the potential for human error and lag time between data collection and analysis.

Yearly Business Assessments

Skyview can be used as a one off analysis for the purposes of business and migration assessments. Provide the empirical data to your IT Consulting company to interpret findings to determine where to spend your IT budget

Tool Consolidation

Collection of IT segment and environmental data from servers, VMs, containers and clouds

Zero-Touch Auto-collection

Collection of IT segment and environmental data from servers, VMs, containers and clouds

IT Environment Identification

Automatically discover business applications andservices, topological structure including dependencies, data, unused assets, migration groups (to uncover even the forgotten and misinterpreted IT knowledge)


Verify and augment Skyview empirical data with IT staff knowledge

Lighting quick setup and data collection

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Agentless Installation

Being agentless, sitting on any Hypervisor and not requiring any configuration, allows Skyview to be ready to start collecting IT environmental intelligence (EI) in under 1 hour

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100% Penetration

We discovery all shadow IT, devices, applications, containers, VMs, even the servers off-the domain, behind firewalls, and otherwise hard to locate devices

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No Training Required

Being a Zero-Touch EI tool, Skyview needs no training to function. It will continually provide the data on its single pane of view, in downloadable reports or in a CSV file format

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Be Migration Ready

Be it a standard migration or a complex cloud, hybrid or cloud native migration. Skyview allows you to know your readiness within days of empirical data collection

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Plan migration waves by determining the unknown

Cluster groups

Any migration needs to be planned and executed flawlessly. Having accurate information on the servers, applications and their inter-connected services will ensure you can have an effectively planned process to move to hybrid cloud or cloud native environments without downtime

Accelerate migration planning

By having the total information of your cluster groups within your environment, you will ensure you can accelerate migrations rather than manually try to untangle the millions of inter-connected services

Identify relevancy  

Locate the unused servers and applications to determine if you will reuse or retire instead of adding to your migration costs

Layer 2 and 3 Discovery

Asset Discovery

Skyview examines the Environment where it is placed and creates an inventory of all devices within the Environment.

Since Skyview performs Asset Discovery it allows the organisations to have an inventory of all servers and services within the Enterprise, this is particularly useful in discovering “shadow IT” and server sprawl.

Affinity and Interdependencies

Understanding Application Relationships

As organisations grow, so do their applications and the interdependencies between applications. This makes any (public or private) cloud migration difficult due to built-in interdependencies between servers and applications as they are entangled with each other.

Moving to any type cloud requires an understanding of these interdependencies so that they can all be migrated to the cloud as part of a single “move group”.

Application Affinity Table Outlining IPv4

Discovery of backchannel (Ephemeral Ports) communication

The Source is who asked for it. Application is the protocol as determined by our protocol dissector. This means that any application running on a non standard port will still be detected as the application dissector does not look at port numbers to determine the application type instead it dissects the application protocol in order to determine the application.

Asset Discovery and Cyber Threat Enumeration Table

Patch Criticality and Threat Validity Assessment

Skyview provides the Actionable Insight to perform a successful move to the Cloud while understanding the interdependencies and Security Risks of the legacy environment that is going to the Cloud. These Risks (CVE’s and CPE’s) are enumerated as are IP Addresses, Ports, Protocols, Services, Products, Product Versions and additional enumerated information.

This allows the organisation to determine if those IP Addresses, services, Product and Product Versions should even be operating within the organisation. This is particularly convenient when identifying:

  • Server / Virtual Machine sprawl

  • Shadow IT 

  • Unauthorised devices within the  environment

When Skyview is connected to a Network Mirror, it can detect all of the above and additional details around how they are communicating and with whom.

Application Latency Graph

Current health, Performance and Bottlenecks of Applications

Skyview can ensure you have a baseline for how responsive and performant an application is over time and is invaluable in understanding when that application is under load due to insufficient resources, misconfigurations or software incompatibility.

This information helps the organisation understand “the user experience” from an application interaction and responsiveness perspective. This information can be used to validate users poor experience with applications. It can also be used to hold Cloud Providers and Managed Service Providers to account in terms of application performance, especially against any contractual Service Level Agreements (SLA’s).