Abu Dhabi Police explore impact of AI on government security

Abu Dhabi: Deploying AI (artificial intelligence) is necessary to counter dynamic cybersecurity threats, Abu Dhabi Police have said.

Experts from the force were joined by other specialists during a police seminar titled ‘Are Government Security Institutions Prepared for the Revolution of Artificial Intelligence and Accelerated Innovation Amid Cybersecurity and Global Sustainability Strategies?'

The seminar was held at the Saif Bin Zayed Academy for Police and Security Sciences under the General Headquarters of Abu Dhabi Police. Major General Thani Butti Al Shamsi, director of the Academy, honoured the participating experts at the conclusion of the event.

He praised the outcomes of the seminar, during which experts discussed key topics aimed at enhancing future strategies for integrating latest AI technologies within police and security institutions. He emphasised the importance of showcasing advanced local and international experiences that support proactive efforts and innovation in security.

Colonel Dr Engineer Ali Ghanem Al Touail highlighted the necessity of integrating AI to ensure resilience in addressing dynamic threats. He emphasised its role in supporting safer communities through automation, digital transformation, and advanced data analytics, enabling strategic agility in AI.

Professor Peter Kawalek, Head of the Academic Group for Information Management and Artificial Intelligence at Loughborough University, UK, said to ensure alignment in the coming phase, police institutions must strengthen cohesive strategic partnerships at governmental, regional, and international levels, enhance communication frameworks for managing AI requirements, and establish shared communication systems to bridge current and future gaps.

Dr Mohamed Ali Al Bakri, a cybersecurity and digital forensic expert from Sanford University, UK, stated that future institutions should prioritise building proactive strategies based on predictive analytics and machine-learning models to identify and eliminate threats before they occur.

He added that by implementing real-time threat detection systems, automating the identification of unusual patterns, and enhancing communication frameworks, institutions can effectively anticipate and manage AI-related risks.