opConfig vs. Robust Intelligence

opConfig provides a thorough automation solution that covers everything from pushing configurations to alerting users about changes and ensuring adherence to industry regulations. By facilitating operational delegation within your business, you can empower your team to troubleshoot network devices effectively while still preserving tight control by avoiding the provision of 'root' access. Our platform supports the implementation of various compliance standards such as PCI-DSS, HIPAA, and COBIT, allowing users to either utilize existing industry-standard rule sets like Cisco-NSA or develop personalized rules that fit specific requirements. It adeptly gathers and secures configuration data across diverse environments, compatible with a multitude of vendors' hardware and software, whether hosted in the cloud, on-premises, or in a hybrid setup. With opConfig, you can craft powerful command sets designed to assist in identifying the root causes of network problems. Our flexible software solutions can scale both horizontally and vertically, having already managed and monitored over 200,000 nodes effectively. You can also evaluate current configuration details against previous versions or different devices, ensuring that all configurations remain consistent. By employing compliance policies as a structured task checklist, you can reliably verify that all devices satisfy compliance standards while safeguarding security. Additionally, this method bolsters overall network integrity and promotes a sense of responsibility within your organization, ultimately leading to improved operational efficiency.

The Robust Intelligence Platform is expertly crafted to seamlessly fit into your machine learning workflow, effectively reducing the chances of model breakdowns. It detects weaknesses in your model, prevents false data from entering your AI framework, and identifies statistical anomalies such as data drift. A key feature of our testing strategy is a comprehensive assessment that evaluates your model's durability against certain production failures. Through Stress Testing, hundreds of evaluations are conducted to determine how prepared the model is for deployment in real-world applications. The findings from these evaluations facilitate the automatic setup of a customized AI Firewall, which protects the model from specific failure threats it might encounter. Moreover, Continuous Testing operates concurrently in the production environment to carry out these assessments, providing automated root cause analysis that focuses on the underlying reasons for any failures detected. By leveraging all three elements of the Robust Intelligence Platform cohesively, you can uphold the quality of your machine learning operations, guaranteeing not only peak performance but also reliability. This comprehensive strategy boosts model strength and encourages a proactive approach to addressing potential challenges before they become serious problems, ensuring a smoother operational experience.