
NetCrunch is commercial, self-hosted, agentless network and IT infrastructure monitoring software for Windows Server. It monitors network devices, servers, virtualization platforms, cloud services including AWS, Azure, and Google Cloud, applications, websites, logs, telemetry, and custom data using technologies such as SNMP, WMI, REST APIs, and scripts.
NetCrunch supports 680+ monitoring targets and provides 270+ ready-to-use Monitoring Packs for devices, applications, and operating systems. Policy-based monitoring automatically applies monitoring settings, Monitoring Packs, thresholds, and alerts to matching devices and systems. Licensing is based on monitored nodes and network interfaces rather than individual sensors, checks, or metrics.
Real-time dashboards and automatic Layer 2 and routing topology maps provide visibility into network status and performance. NetCrunch supports event correlation, dependency-aware alert suppression, predictive thresholds, escalation, and 40+ automated response actions, including script execution, notifications, webhooks, and integrations with external IT and collaboration tools.
NetCrunch also provides hardware and software inventory, network device configuration backup and change tracking, bandwidth monitoring, and network traffic analysis using NetFlow, sFlow, IPFIX, and other flow technologies. Distributed Monitoring Probes extend monitoring to remote and isolated locations, while REST APIs support integration and automation with external systems.
NetCrunch is self-hosted on Windows Server and can monitor on-premises, air-gapped, cloud, and hybrid IT environments.
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JDisc Discovery serves as a robust solution for IT asset management and network discovery, offering organizations valuable, real-time visibility into their complete IT landscape. By conducting automated network scans, it efficiently detects and organizes a variety of devices, which ranges from physical servers and workstations to virtual machines and network appliances, thus providing users with a comprehensive asset inventory. The tool meticulously gathers crucial information, encompassing hardware specifications, installed software, system configurations, and the interrelationships among devices, ensuring thorough documentation of the IT environment.
One of the standout features of JDisc Discovery is its agentless design. Instead of requiring software installation on each device, it utilizes multiple protocols such as SNMP, SSH, and WMI to collect data, facilitating rapid deployment and ensuring compatibility across an array of operating systems, including Windows, Linux, and Unix. This adaptability makes it particularly well-suited for varied and evolving IT infrastructures, allowing for effective and unobtrusive data acquisition. Additionally, its user-friendly interface enhances the overall management experience, empowering IT teams to make informed decisions based on accurate and up-to-date information.
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LizardSystems Network Scanner
Network Scanner is an adaptable IP scanning application tailored to analyze both large corporate networks with numerous computers and smaller home networks that feature only a handful of devices. The tool allows users to scan individual IP addresses, specific machines, and entire IP address ranges, supporting an indefinite number of computers and subnets. It offers a thorough overview of all shared resources, capturing both visible and hidden NetBIOS (Samba) shares, in addition to FTP and web resources. Network administrators and casual users alike can utilize Network Scanner to inspect their networked computers or discover accessible network resources. In addition to identifying computers and shared resources, Network Scanner also checks access permissions, enabling users to connect them as network drives or access them using Explorer or web browsers. Moreover, users can conveniently export their scan results in multiple formats, such as XML, HTML, or plain text files, or opt to save them directly within the application for future use. This feature not only helps users maintain a well-organized record of their network resources and access rights but also enhances their ability to manage and analyze network configurations effectively. Overall, Network Scanner proves to be an essential tool for efficient network management and resource accessibility.
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Invicti Web + API
Invicti Web + API, formerly Acunetix, is a dynamic application security testing platform designed to automate vulnerability discovery, validation, prioritization, and remediation workflows for web applications and APIs. The product builds on more than 20 years of Acunetix DAST technology while incorporating AI, code-to-runtime correlation, and vulnerability management capabilities. Invicti can automatically identify web applications, APIs, shadow assets, unlinked pages, and undocumented endpoints across code, traffic, and runtime environments. Its scanning engine detects more than 7,000 security issues, including vulnerabilities from the OWASP Top 10 and OWASP API Top 10 as well as business logic flaws. The platform supports modern single-page applications, JavaScript-heavy websites, LLM-powered services, role-based authentication scenarios, complex multi-step workflows, and stateful API testing. API security testing covers REST, GraphQL, and SOAP services while maintaining context across requests. Invicti uses AI-driven risk scoring based on more than 200 signals together with runtime reachability, exploitability, and business context to help teams prioritize security findings. Proof-based validation confirms exploitable vulnerabilities to reduce false positives, with Invicti reporting 99.98% confirmation accuracy for exploitable findings. DAST-to-SAST correlation connects runtime vulnerabilities with corresponding source code, while AI-powered remediation delivers developer-oriented fix guidance and automated validation can retest applications after changes are implemented. Invicti also provides agentic penetration testing capabilities that coordinate specialized AI agents, adapt attack plans to application behavior, investigate chained and contextual vulnerabilities, and validate findings using its proof-based techniques.
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