ISS Spotlights AI-Driven Border Security Modernization in Saudi Arabia
ISS says Saudi Arabia is modernizing its land-border security infrastructure with a multi-layered deployment of AI-enabled under-vehicle screening, ANPR, facial recognition, and centralized command capabilities, while the company’s Saudi leadership stresses that long-term success depends on ruggedized hardware, continuous AI tuning and disciplined field maintenance
ISS has outlined how Saudi Arabia is modernizing border security with AI-enabled screening, ANPR, facial recognition and centralized command capabilities, in a move aimed at improving detection, speeding up inspections and strengthening situational awareness across key land-border crossings.
According to the company, the deployment includes SecurOS under-vehicle screening systems, ANPR cameras and facial-recognition technology integrated into a broader command-and-control environment that helps authorities automate checks, track incidents and reduce manual workload in demanding border conditions.
Raheel Jalili, ISS Country Director for Saudi Arabia
Commenting for a&s Middle East, Raheel Jalili, ISS Country Director for Saudi Arabia, said the success of such deployments depends heavily on hardware resilience and operational discipline. “Deploying and maintaining AI-driven border security systems like the SecurOS solutions we have installed in Saudi border environments requires ruggedized hardware designed to withstand extreme heat, dust, and sandstorms, along with sealed enclosures, cooling systems, and regular cleaning to prevent sensor obstruction,” he said.
Jalili added that AI performance must also be continuously refined for local conditions. “AI models must be trained and continuously updated to handle harsh lighting, glare, dust interference, and diverse plate formats, and edge computing is often used to process data locally when connectivity is limited,” he said.
He noted that reliable operation in the field depends as much on maintenance readiness as on detection technology itself. “In practice, success depends on routine maintenance schedules, remote diagnostics, redundancy planning, and well-trained on-site personnel who can quickly respond to system faults and ensure consistent operation despite the challenging conditions,” Jalili said.
The project reflects a broader push toward automated, intelligence-led border protection in Saudi Arabia, with AI playing a growing role in both security effectiveness and checkpoint efficiency.
