What is Auto-Network Discovery?
An organization’s network structure is much more complex than it appears. Hundreds of devices, software, servers, and users spread across different locations are communicating simultaneously. Auto Network Discovery is the smartest way to make sense of this complex structure. It automatically discovers all devices, applications, and connections on your network, creating real-time network maps without the need for manual inventory scans.
With SPIDYA ITAM’s Auto Network Discovery, it comprehensively identifies, defines, and associates all IT assets with the Configuration Management Database (CMDB), whether it’s a small office network or a multi-location enterprise infrastructure.
From device discovery to software licensing management, from location-based inventory visibility to shadow IT detection, every step is automatically controlled. This allows IT teams to be freed from the burden of manual data collection and manage asset management, CMDB management, and device control processes from a central dashboard.
Why is Auto-Network Discovery Important?
In complex IT environments, mapping all devices, software, and connections on your network is much more difficult than it seems. Manual scans are incomplete; invisible assets known as shadow IT emerge.
This situation increases security vulnerabilities and creates risks of license non-compliance, data leakage, and loss of operational control. Network discovery is a critical technology for eliminating these risks.
With SPIDYA ITAM – Auto Network Discovery, IT teams gain complete visibility by mapping the entire network from end to end.
SPIDYA ITAM - Key Contributions of Auto-Network Discovery
1. Provides Full Network Visibility
- All devices (servers, switches, printers, IoT, and virtual machines) are automatically discovered.
- Auto-Network Discovery identifies active assets and updates the network map in real time.
2. Data Consistency with CMDB Integration
- Each device is uniquely identified in the Configuration Management Database (CMDB).
- Hardware, software, user, and location information are linked in a single center.
3. Active Directory Integration
- User-asset mappings are performed automatically.
- It is easy to track who is using which device and in which department.
4. Shadow IT Detection
- Devices that are not manually registered or unknown are detected automatically.
- Security and licensing risks are minimized.
5. Location-Based and Hardware-Focused Management
- Devices are grouped according to their physical locations.
- Device control and location management processes are simplified.
6. Software Discovery and License Compliance
- Installed software is automatically scanned.
- Accuracy and auditability are ensured in software licensing management processes.
SPIDYA ITAM (IT Asset Management)
In corporate projects, the following improvements are targeted:
As a result, organizations can make reliable, data-driven decisions in asset and CMDB management processes.
How Does Automatic Auto-Network Discovery Work?
Traditional methods of network inventory rely on manual scans and complex processes requiring agent installation. In modern IT environments, this approach leads to both time loss and incomplete visibility.
The Auto-Network Discovery process consists of four basic steps:
1. Network Scan Initiated
- Defined IP ranges, subnets, or domains are scanned.
- Servers, IoT (Internet of Things) devices, virtual machines, and cloud environments (AWS, Azure, Google Cloud) are automatically detected.
2. Device and Hardware Discovery Takes Place
- Processor, RAM, disk, MAC address, ports, and IP information are reported in detail for each device.
- This information is used in device control and asset management processes.
3. Software Discovery and Control Takes Place
- Installed applications, running services, and operating system versions are analyzed.
- License information is collected for software licensing management, and compliance checks are performed.
4. Integration and Synchronization with CMDB
- All assets are created as unique records on the CMDB.
- Hardware, software, location, and user information are automatically synchronized.
Future-Ready IT Management: AI and Automation Support
AI-powered network discovery solutions not only find assets; they learn and predict:
- AI-powered predictive analytics: Predicts hardware failures or security risks in advance.
- Self-healing: Can take automatic action when anomalies are detected.
Sustainability (Green IT): Reduces environmental impact by identifying devices with high energy consumption. - AI-powered ITAM (IT Asset & Configuration Management) enhances operational efficiency while strengthening sustainability and security strategies.
Conclusion
Auto-Network discovery is not just device discovery; it provides control, visibility, and security in IT operations. Make the invisible assets in your organization visible.
🔎 Discover the real-time network discovery experience with SPIDYA ITAM now!
