Improved incident response timing for critical infrastructure
A large Middle East–based electrical power generation company, operating four separate power plants, needed to upgrade its cybersecurity posture to remain compliant with newly introduced government regulations. Each site had a fully isolated operational technology (OT) network, which made compliance even more challenging.
The new regulations required:
Mandatory adoption of robust OT cybersecurity defenses
Security incident reporting not only to the company’s own SOC but also to an independent SOC operated by the regulatory authority
Continuous updates to IDS and SIEM tools with the latest AI-driven detection models and signature databases – without compromising network isolation
80% fewer false positives from AI-driven correlation prior to SOC ingestion
50% faster detection-to-response time through unified detection and correlation
Improved SOC efficiency for quicker handling of high-priority incidents with context-rich insights
$0 in additional hardware costs, using a fully virtual deployment on existing infrastructure
100% compliance with new regulations
The company’s cybersecurity team first attempted to meet these requirements by deploying a dedicated OT IDS solution alongside a third party SIEM. After six months of integration work, the setup still failed to meet compliance standards.
They then tried again with a different IDS–SIEM combination. The result was the same: another six months of complex configuration, yet still no path to regulatory compliance.
Both attempts ran into the same critical obstacles, stemming from the deployment of separate IDS, SIEM, and SOC tools:
Security events had to be stitched together manually across different systems, requiring extensive custom logic.
Each system had its own lengthy false-positive reduction process, leading to additional deployment time and increasing complexity.
Updating detection engines and AI models across air-gapped environments involved slow, manual file transfers.
Alerts passed through multiple independent systems before being enriched and prioritized, creating response delays.
High false-positive rates and lack of unified correlation increased time-to-response and prolonged incident resolution.
Because the OT networks were isolated, only heavily filtered data could be sent to the central SOC, limiting visibility.
After repeated frustrations trying to achieve compliance with established cybersecurity vendors, the power generation company turned to iOT365.
iOT365 is the first end-to-end, Level 0–to-SOC cybersecurity platform purpose-built for OT and IoT assets. Unlike traditional approaches that rely on stitching together separate tools, iOT365 consolidates all critical functions – IDS, SIEM, SOC, network discovery and mapping, vulnerability management, and more – into a single vertically integrated platform. Its use of patented algorithms and advanced AI ensures seamless correlation, automated enrichment, and continuous threat intelligence updates, overcoming the limitations inherent in siloed systems.
iOT365 is the emerging leader in AI-powered OT and IoT cybersecurity, providing a complete zero-level to SOC solution that delivers real-time visibility, protocol-level monitoring and intelligent threat detection across thousands of industrial and security devices – all without agents. For more information, e-mail contact@iot365.io, call +1 (332) 280-4993 or visit www.iot365.io.
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