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Description

Each IoT device is equipped with an agent specifically crafted to continuously observe its real-time operations and detect any unusual activities. This cutting-edge agent is designed to be lightweight, ensuring seamless integration into even aftermarket devices. Featuring an intuitive and user-friendly dashboard, it delivers comprehensive analytics and insights, not just from the individual device but also across the entire fleet, thereby offering essential data for both security measures and business operations. Additionally, our solutions are supported by a highly skilled Security Operations Center (SOC) and Threat Hunting team. These cybersecurity professionals enhance the AI's capabilities by feeding it threat intelligence derived from ongoing research into emerging attacks and leveraging years of hacking expertise from the national defense sector. The Firedome SOC and Threat Hunting team provides round-the-clock monitoring of clients’ devices, expertly managing any suspicious activities that may arise. This proactive approach ensures that potential threats are addressed in real-time, allowing for uninterrupted device performance without requiring intervention from manufacturers or users. Overall, this system ensures a robust defense mechanism for all connected devices, instilling confidence in users regarding their security.

Description

Voker serves as an innovative Agent Analytics Platform that focuses on the oversight and enhancement of AI agents operating in real-world settings, ensuring that these agents are not merely reactive but genuinely beneficial. This platform enables developers to monitor the interactions of AI agents, pinpoint areas needing improvement, identify any irregularities, and assess progress over time, all without the hassle of sifting through extensive logs or relying solely on user feedback. By linking the performance metrics of agents to tangible business results, Voker allows teams to correlate conversational insights with existing user data, providing clarity on whether an agent is effectively contributing to goals such as user activation, retention, conversion rates, support quality, and other key performance indicators. The user-friendly self-service analytics are tailored for product managers, analysts, and business teams, offering them actionable insights without the issues of support tickets or workflow interruptions. Additionally, developers can easily integrate Voker into their systems using the SDK; they can do this via a simple pip install command or leverage an AI coding tool to quickly set up the SDK, input the necessary API key, and configure an agent within just a few minutes. Thus, Voker not only streamlines the monitoring process but also empowers teams to leverage data for continuous improvement of their AI agents.