UAE's Omniconn Becomes First GCC Company to Achieve UL 3115 AI Safety Certification for Critical Infrastructure

UAE's Omniconn Earns First-Ever UL 3115 AI Safety Certification in the GCC. What It Means for Critical Infrastructure Security

A UAE-based technology company has set a regional benchmark in AI governance and critical infrastructure security, becoming the first organisation in the GCC to achieve UL 3115 certification, an internationally recognised standard developed by UL Solutions for the safe, secure, and ethical deployment of artificial intelligence in safety-critical environments.

Omniconn, an AI-powered IoT solutions provider headquartered in Abu Dhabi, received the certification following an independent evaluation of its Platform 4.0, a centralised building intelligence system that integrates IoT devices, building management systems, and operational technologies into a unified control interface.

The achievement makes Omniconn the first company globally to achieve both UL 3115 and SSRP certification for AI-driven smart system architecture, according to the company.

What UL 3115 Actually Evaluates

UL 3115 is not a general technology certification. It was developed by UL Solutions to evaluate AI and machine learning systems deployed specifically in high-risk, safety-critical environments. The standard assesses four core dimensions.

Reliability and predictability covers whether the AI system performs consistently in real-world operational conditions. AI governance and risk management evaluates whether appropriate oversight mechanisms are embedded throughout the system's lifecycle. Human oversight ensures that AI-driven decisions in critical environments can be monitored, audited, and overridden by qualified personnel. Ethical performance assesses whether the system operates within defined parameters aligned with international safety requirements.

For enterprise security leaders and compliance officers in the GCC, UL 3115 represents a meaningful addition to the growing landscape of AI governance standards that organisations must navigate, alongside existing frameworks like the UAE's AI Principles, Saudi Arabia's National AI Strategy, and the EU AI Act, which is already influencing procurement decisions in the region.

Platform 4.0: OT and IoT Convergence at the Security Frontier

Omniconn's Platform 4.0 sits at the intersection of cybersecurity and operational technology, an area of growing concern for GCC enterprise security teams as smart building adoption accelerates across the region's commercial real estate, hospitality, government, and industrial sectors.

The platform consolidates control of fire detection and suppression systems, HVAC and energy management infrastructure, building management systems, IoT sensor networks, and operational technology assets, all integrated into a single dashboard enabling real-time monitoring, predictive analytics, and intelligent automated responses across facilities.

From a cybersecurity perspective, the convergence of OT and IT systems within a single platform creates both opportunities and risks. Centralised visibility improves incident detection and response. But it also means that a compromise of the platform, or misconfiguration of its access controls, could affect multiple building systems simultaneously.

Omniconn's UL 3115 certification provides independent verification that these risks have been addressed through auditable governance frameworks, not just vendor assurances. The company states that the platform strengthens cybersecurity, safeguards building operations, and reduces downtime through centralised control and AI-driven anomaly detection.

For facility managers, CISOs, and real estate operators managing smart building portfolios across the UAE and broader GCC, this independent certification provides procurement-grade validation that is increasingly expected in regulated and government-adjacent environments.

Why This Matters for the UAE's Smart Infrastructure Agenda

The UAE is actively advancing its smart city and digital transformation agenda across multiple fronts, from Dubai's smart city infrastructure to Abu Dhabi's technology initiatives. As AI becomes embedded in the critical systems that manage buildings, utilities, and public infrastructure, the question of how to certify and govern those AI systems is moving from academic to operational.

Ibrahim Lari, Chairman of Omniconn, framed the certification accordingly: the platform is designed to strengthen the resilience, safety, and reliability of the UAE's infrastructure while supporting the country's vision for smart, secure, and connected environments.

For enterprise buyers evaluating AI-powered building management and security platforms, UL 3115 certification provides a standardised framework for assessing a vendor's AI governance posture, analogous to how ISO 27001 is used to evaluate information security management systems, or SOC 2 to evaluate cloud security controls.

The Broader GCC Critical Infrastructure Security Context

Omniconn's certification arrives as GCC regulators and enterprise security teams are paying closer attention to OT and IoT security, a domain that has historically lagged behind IT security maturity but is now attracting regulatory focus. The UAE Cyber Security Council has been active in expanding national cybersecurity frameworks to explicitly address OT and industrial control systems. Saudi Arabia's National Cybersecurity Authority has similarly published OT-specific security controls as part of its Essential Cybersecurity Controls framework.

For organisations operating smart buildings, industrial facilities, or public infrastructure in the GCC, the regulatory direction is clear. AI systems embedded in operational environments will face increasing scrutiny, and independent certification against recognised standards will become a compliance necessity rather than a differentiator.

Omniconn's first-mover position on UL 3115 in the GCC gives it meaningful differentiation in a market where AI governance is rapidly transitioning from a talking point to a procurement requirement.