Best IoT Security Software for Darktrace

Find and compare the best IoT Security software for Darktrace in 2026

Use the comparison tool below to compare the top IoT Security software for Darktrace on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Google Cloud Platform Reviews
    Top Pick

    Google Cloud Platform

    Google

    Free ($300 in free credits)
    61,023 Ratings
    See Software
    Learn More
    Google Cloud Platform (GCP) offers a robust suite of security solutions designed to safeguard Internet of Things (IoT) devices and networks. Key components like Cloud IoT Core and sophisticated threat detection capabilities empower companies to securely oversee their IoT data and maintain safe device connections throughout their infrastructures. New users are welcomed with $300 in complimentary credits to explore, test, and deploy IoT projects, giving them a chance to evaluate GCP’s IoT security features and try out strategies to shield their IoT environments from evolving threats. GCP’s security tools encompass end-to-end encryption and device authentication, ensuring that only approved devices can link to the network. Additionally, the platform leverages machine learning technologies to identify irregularities in IoT data, offering instantaneous insights into potential security vulnerabilities. This holistic strategy enables enterprises to protect their IoT devices and data comprehensively, from edge devices to cloud storage.
  • 2
    Darktrace / OT Reviews
    Darktrace / OT is an advanced AI-driven security platform specifically designed for safeguarding critical infrastructure, integrating threat detection and response with contextualized risk management for operational technology that surpasses mere CVE scoring. This innovative solution identifies and visualizes devices operating on both IT and OT protocols, offering comprehensive visibility throughout all levels of the Purdue Model from a secure foundation. By employing both passive and active scanning techniques, it maintains an up-to-date inventory of assets while highlighting vulnerabilities and the status of devices nearing their end of life. Furthermore, its real-time monitoring capabilities extend to specialized industrial protocols, production assets, and connected IT systems, ensuring thorough oversight. The Self-Learning AI component adeptly recognizes standard operational patterns, thereby enabling the detection of insider threats as well as known, unknown, and zero-day vulnerabilities on a large scale. In addition, the Cyber AI Analyst feature performs automatic investigations of activities across both IT and OT environments, efficiently prioritizing critical incidents and summarizing findings for production engineers and security analysts alike. Lastly, the Autonomous Response functionality allows for the initiation of specific, pre-approved measures to effectively halt and contain emerging threats, thereby enhancing the overall security posture of the infrastructure. This holistic approach makes Darktrace / OT an indispensable tool in the realm of cybersecurity for critical systems.
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