SecuriThings has unveiled its latest innovation, the Agentic Device Orchestrator, a next-generation platform designed to simplify and unify device-level control across enterprise IoT environments. As organizations continue to expand their connected device ecosystems, managing security and operations at scale has become increasingly complex. Therefore, SecuriThings is addressing this challenge by introducing an AI-powered orchestration layer that enables proactive cybersecurity and operational control across diverse IoT fleets.

Traditionally, enterprises have struggled with fragmented tools and limited visibility when managing IoT devices. As a result, IT and security teams often face delays in executing remediation actions after identifying issues. However, the Agentic Device Orchestrator changes this model by enabling direct, real-time control over devices, regardless of type or manufacturer. This approach allows organizations to move beyond passive monitoring and adopt a more proactive and automated management strategy.

One of the platform’s most significant advancements is its ability to support a wide range of enterprise IoT devices. While SecuriThings has historically focused on physical security systems such as cameras and access control, the new platform extends capabilities to include everyday devices like printers, as well as specialized systems used in building automation and clinical engineering. Consequently, organizations can now manage all IP-enabled devices through a single, unified interface.

“Our customers rely on our platform for unmatched depth of operational control and automation of their critical physical security device fleet,” said Roy Dagan, CEO and co-founder of SecuriThings. “With Agentic Device Orchestrator, they can now exert the same granular control over a far wider and more diverse set of devices across the enterprise. Leveraging AI eliminates technical skills as a blocker operators no longer need deep expertise in device-specific configuration commands to execute complex remediation and maintenance at scale.”

Furthermore, the platform directly addresses the growing demand for actionable remediation in enterprise environments. As IoT ecosystems expand, organizations are no longer satisfied with simply identifying vulnerabilities they need the ability to fix them quickly and efficiently. According to industry projections, nearly half of organizations will prioritize remediation capabilities when selecting cyber-physical security platforms in the coming years. In response, SecuriThings has developed a solution that closes the gap between detection and action by enabling precise, device-level intervention.

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At the core of the Agentic Device Orchestrator is a set of intelligent AI agents that make device management accessible to users of all skill levels. For non-technical users, the platform offers a natural language interface that allows them to issue commands without coding or scripting knowledge. For example, a user can simply request system information, and the AI agent will automatically generate and execute the required workflow. Meanwhile, technical users benefit from reduced time spent on manual scripting, API research, and testing, significantly improving operational efficiency.

In addition, the platform supports the growing convergence of AI and IoT, which is driving new business use cases across industries. Organizations are increasingly leveraging connected devices not only for monitoring but also for real-time, automated decision-making. However, this expansion also introduces new security risks, particularly as many IoT devices remain unpatched or poorly managed. By enabling proactive remediation and continuous control, SecuriThings helps organizations reduce these risks while unlocking greater operational value from their IoT investments.

Ultimately, the launch of the Agentic Device Orchestrator marks a significant step forward in enterprise IoT management. By combining AI-driven automation with device-agnostic control, SecuriThings is enabling organizations to scale securely, reduce operational complexity, and transition toward fully autonomous, intelligent infrastructure.

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