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Forward AI aims to revolutionize network configuration audit and compliance, particularly for organizations in regulated industries that dread annual audits. These audits are typically manual, time-consuming, and error-prone, and carry a significant risk of penalties. The traditional approach involves painstakingly listing all devices, understanding vendor-specific configuration syntaxes for each operating system, extracting data, correlating it with standards, and generating reports – a task that can span days and requires specialized expertise across multiple vendors. This complexity underscores the critical need for automation and simplification to achieve and demonstrate compliance.
Forward Networks addresses this challenge with Forward AI, allowing users to express their audit goals in natural language, such as validating consistent NTP server configurations across all devices. An agentic system then kicks in, generating a precise query to extract relevant configuration data from Forward Networks’ normalized data model, which contains configurations from all network devices. Crucially, Forward AI understands the nuances of multi-vendor environments and automatically generates platform-specific configuration templates for devices from Cisco, Arista, Juniper, Fortinet, and Palo Alto, enabling accurate interpretation and analysis of NTP settings.
This automated process swiftly assesses hundreds of devices, providing a comprehensive report detailing device names, types, configured NTP servers, and compliance status against the specified standard. For instance, the demo showed an audit of 124 devices completed rapidly, identifying discrepancies and highlighting specific device classes where the target NTP server was absent. This not only streamlines the audit process but also provides solid, verifiable evidence for compliance resolution, dramatically reducing manual effort, improving accuracy, and ensuring organizations can efficiently meet their regulatory obligations.
Personnel: Nikhil Handigol
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