logo
GCCIA Concludes AI Forum in Kuwait with In-Depth Discussions on Enhancing Power Grid Efficiency

GCCIA Concludes AI Forum in Kuwait with In-Depth Discussions on Enhancing Power Grid Efficiency

Web Release06-05-2025

The Gulf Cooperation Council Interconnection Authority (GCCIA), concluded its two-day regional forum held on April 29–30, 2025, under the theme: 'Empowering the Future Grid: Exploring the Application of Generative AI in GCC Power Systems,' which took place in Kuwait City. The event brought together a distinguished group of global technology leaders, including GCCIA, the Saudi Electricity Company, ENOWA (NEOM's Energy and Water Company), GCC energy authorities and utilities, as well as Microsoft, NVIDIA, Oracle, and EPRI Gulf (Electric Power Research Institute), alongside representatives from GCC member states, speakers from major global tech firms, and energy sector experts from across the Gulf region.
The first day of the forum featured intensive technical discussions on the transformative potential of generative AI in grid planning, operational optimization, and data-driven asset management. Sessions showcased global AI models and platforms such as Copilot, Open Power AI, digital twins, and GPU-accelerated computing, all aimed at accelerating complex analytics and improving the responsiveness of power networks.
Discussions focused on real-world applications of generative AI in grid planning, operations, cybersecurity, and asset management. The forum also introduced the Open Power AI Consortium (OPAI), a global initiative launched by EPRI to foster cross-sector collaboration in developing, testing, and validating AI models for the energy sector. With over 40 members from the U.S., Europe, the Gulf and other utilities and technology companies, OPAI represents a unified effort to accelerate the digital transformation of power systems worldwide.
On the second day, the forum shifted focus to the real-world implementation of these technologies within operational utility environments. Participants explored practical applications such as integrating AI copilots into daily workflows, detecting electric vehicle usage patterns, identifying billing anomalies, and conducting real-time sentiment analysis for customer service—all while maintaining full data privacy through internally deployed AI models.
Further discussions addressed the reliability of AI models, the efficiency of GPU-based computing, and long-term planning using climate data. Attendees called for environmentally aligned adoption strategies and clear performance indicators to monitor AI impact and ensure its sustainability across power systems.
In his remarks, Eng. Ahmed Al Ebrahim, CEO of GCCIA, stated: 'We are gathered at a time when the energy sector is evolving into a more intelligent and complex ecosystem. We must reimagine our power grids as dynamic, integrated platforms. Generative AI is no longer a luxury—it is a strategic imperative that enables us to build more agile, efficient, and intelligent power systems. It opens up new frontiers for regional integration, global interconnection, loss reduction, and operational excellence.'
He added: 'This forum marks only the beginning of a collective journey. Our goal is to translate technological potential into tangible operational solutions. By fostering deep collaboration between utilities and tech innovators, we can advance from pilot initiatives to fully autonomous grid operations and maintenance. The road ahead is wide open, and the possibilities for AI in the energy sector are limitless.'
Throughout the forum, Gulf energy utility representatives engaged in constructive dialogue, sharing case studies that demonstrated measurable improvements in grid efficiency and technical loss reduction enabled by AI. Insights were also drawn from global lessons, including findings that only 35% of organizations feel confident in their infrastructure's readiness to support AI—underscoring the importance of strategic planning and smart investment in digital capabilities.
Electricity losses in GCC transmission and distribution networks remain among the lowest globally—just around 5%—positioning the region as an ideal testing ground for strategic AI integration aimed at boosting system reliability, performance, and energy management.
Through this forum, GCCIA reaffirmed its commitment to leading digital transformation efforts in the power sector, strengthening regional cooperation, and building a smarter, more sustainable and efficient energy future—cementing the GCC's position as a global model for advanced power systems.

Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

Generative AI Tools Expose Corporate Secrets Through User Prompts
Generative AI Tools Expose Corporate Secrets Through User Prompts

Arabian Post

time3 days ago

  • Arabian Post

Generative AI Tools Expose Corporate Secrets Through User Prompts

A significant portion of employee interactions with generative AI tools is inadvertently leaking sensitive corporate data, posing serious security and compliance risks for organisations worldwide. A comprehensive analysis by Harmonic Security, involving tens of thousands of prompts submitted to platforms such as ChatGPT, Copilot, Claude, Gemini, and Perplexity, revealed that 8.5% of these interactions contained sensitive information. Notably, 45.77% of the compromised data pertained to customer information, including billing details and authentication credentials. Employee-related data, such as payroll records and personal identifiers, constituted 26.68%, while legal and financial documents accounted for 14.95%. Security-related information, including access keys and internal protocols, made up 6.88%, and proprietary source code comprised 5.64% of the sensitive data identified. The prevalence of free-tier usage among employees exacerbates the risk. In 2024, 63.8% of ChatGPT users operated on the free tier, with 53.5% of sensitive prompts entered through these accounts. Similar patterns were observed across other platforms, with 58.62% of Gemini users, 75% of Claude users, and 50.48% of Perplexity users utilizing free versions. These free tiers often lack robust security features, increasing the likelihood of data exposure. ADVERTISEMENT Anna Collard, Senior Vice President of Content Strategy & Evangelist at KnowBe4 Africa, highlighted the unintentional nature of these data leaks. She noted that users often underestimate the sensitivity of the information they input into AI platforms, leading to inadvertent disclosures. Collard emphasized that the casual and conversational nature of generative AI tools can lower users' guards, resulting in the sharing of confidential information that, when aggregated, can be exploited by malicious actors for targeted attacks. The issue is compounded by the lack of comprehensive governance policies within organizations. A study by Dimensional Research and SailPoint found that while 96% of IT professionals acknowledge the security threats posed by autonomous AI agents, only 54% have full visibility into AI agent activities, and a mere 44% have established governance policies. Furthermore, 23% of IT professionals reported instances where AI agents were manipulated into revealing access credentials, and 80% observed unintended actions by these agents, such as accessing unauthorized systems or sharing inappropriate data. The rapid adoption of generative AI tools, driven by their potential to enhance productivity and innovation, has outpaced the development of adequate security measures. Organizations are now grappling with the challenge of balancing the benefits of AI integration with the imperative to protect sensitive data. Experts advocate for the implementation of stringent oversight mechanisms, including robust access controls and comprehensive user education programs, to mitigate the risks associated with generative AI usage.

Perilous prompts: How generative Artificial Intelligence (AI) is leaking companies' secrets
Perilous prompts: How generative Artificial Intelligence (AI) is leaking companies' secrets

Zawya

time3 days ago

  • Zawya

Perilous prompts: How generative Artificial Intelligence (AI) is leaking companies' secrets

Beneath the surface of GenAI's outputs lies a massive, mostly unregulated engine powered by data – your data. And whether it's through innocent prompts or habitual oversharing, users are feeding these machines with information that, in the wrong hands, becomes a security time bomb. A recent Harmonic report ( found that 8.5% of employee prompts to generative AI tools like ChatGPT and Copilot included sensitive data – most notably customer billing and authentication information – raising serious security, compliance, and privacy risks. Since ChatGPT's 2022 debut, generative AI has exploded in popularity and value – surpassing $25 billion in 2024 ( – but its rapid rise brings risks many users and organisations still overlook. 'One of the privacy risks when using AI platforms is unintentional data leakage,' warns Anna Collard, SVP Content Strategy&Evangelist at KnowBe4 Africa. 'Many people don't realise just how much sensitive information they're inputting.' Your data is the new prompt It's not just names or email addresses that get hoovered up. When an employee asks a GenAI assistant to 'rewrite this proposal for client X' or 'suggest improvements to our internal performance plan,' they may be sharing proprietary data, customer records, or even internal forecasts. If done via platforms with vague privacy policies or poor security controls, that data may be stored, processed, or – worst-case scenario – exposed. And the risk doesn't end there. 'Because GenAI feels casual and friendly, people let their guard down,' says Collard. 'They might reveal far more than they would in a traditional work setting – interests, frustrations, company tools, even team dynamics.' In aggregate, these seemingly benign details can be stitched into detailed profiles by cybercriminals or data brokers – fuelling targeted phishing, identity theft, and sophisticated social engineering. A surge of niche platforms, a bunch of new risks Adding fuel to the fire is the rapid proliferation of niche AI platforms. Tools for generating product mock-ups, social posts, songs, resumes, or legalese are sprouting up at speed – many of them developed by small teams using open-source foundation models. While these platforms may be brilliant at what they do, they may not offer the hardened security architecture of enterprise-grade tools. 'Smaller apps are less likely to have been tested for edge-case privacy violations or undergone rigorous penetration tests and security audits,' says Collard. 'And many have opaque or permissive data usage policies.' Even if an app's creators have no malicious intent, weak oversight can lead to major leaks. Collard warns that user data could end up in: ● Third-party data broker databases ● AI training sets without consent ● Cybercriminal marketplaces following a breach In some cases, the apps might themselves be fronts for data-harvesting operations. From individual oversights to corporate exposure The consequences of oversharing aren't limited to the person typing the prompt. 'When employees feed confidential information into public GenAI tools, they can inadvertently expose their entire company,' ( explains Collard. 'That includes client data, internal operations, product strategies – things that competitors, attackers, or regulators would care deeply about.' While unauthorised shadow AI remains a major concern, the rise of semi-shadow AI – paid tools adopted by business units without IT oversight – is increasingly risky, with free-tier generative AI apps like ChatGPT responsible for 54% of sensitive data leaks due to permissive licensing and lack of controls, according to the Harmonic report. So, what's the solution? Responsible adoption starts with understanding the risk – and reining in the hype. 'Businesses must train their employees on which tools are ok to use, and what's safe to input and what isn't," says Collard. 'And they should implement real safeguards – not just policies on paper. 'Cyber hygiene now includes AI hygiene.' 'This should include restricting access to generative AI tools without oversight or only allowing those approved by the company.' 'Organisations need to adopt a privacy-by-design approach ( when it comes to AI adoption,' she says. 'This includes only using AI platforms with enterprise-level data controls and deploying browser extensions that detect and block sensitive data from being entered.' As a further safeguard, she believes internal compliance programmes should align AI use with both data protection laws and ethical standards. 'I would strongly recommend companies adopt ISO/IEC 42001 ( an international standard that specifies requirements for establishing, implementing, maintaining and continually improving an Artificial Intelligence Management System (AIMS),' she urges. Ultimately, by balancing productivity gains with the need for data privacy and maintaining customer trust, companies can succeed in adopting AI responsibly. As businesses race to adopt these tools to drive productivity, that balance – between 'wow' and 'whoa' – has never been more crucial. Distributed by APO Group on behalf of KnowBe4.

GitHub Empowers Developers with Autonomous AI Coding Assistant
GitHub Empowers Developers with Autonomous AI Coding Assistant

Arabian Post

time21-05-2025

  • Arabian Post

GitHub Empowers Developers with Autonomous AI Coding Assistant

GitHub has unveiled a significant upgrade to its Copilot platform: an AI-powered coding agent capable of autonomously writing code, fixing bugs, and managing pull requests. This development, announced during Microsoft's Build 2025 conference in Seattle, marks a pivotal shift in software development, positioning AI as an active participant in coding tasks. The new Copilot coding agent operates by initiating a secure, customizable development environment through GitHub Actions. Upon assignment of a task or issue, the agent clones the repository, analyses the codebase, and begins implementing solutions. Throughout the process, it documents its actions and submits changes via draft pull requests, allowing developers to review and provide feedback. This approach ensures that while the AI handles routine tasks, human oversight remains integral to the development process. Designed to handle low- to medium-complexity tasks, the agent excels in well-tested codebases, performing functions such as feature additions, bug fixes, test extensions, code refactoring, and documentation improvements. Developers can assign multiple issues simultaneously, enabling the agent to work on various tasks in parallel, thereby enhancing productivity. ADVERTISEMENT Integration with GitHub's native control layer ensures that the agent adheres to existing security protocols. Features like branch protections and controlled internet access are built-in, and any code changes proposed by the agent require human approval before integration into the main codebase. This design maintains the integrity of the development workflow while leveraging AI capabilities. The agent is accessible to users of Copilot Enterprise and Copilot Pro+ plans and can be activated through GitHub's web interface, mobile app, or command-line interface. Additionally, it supports integration with popular integrated development environments such as Visual Studio Code, Xcode, Eclipse, JetBrains, and Visual Studio, providing flexibility across different development setups. Microsoft's commitment to an open AI ecosystem is evident in its support for multiple AI models within GitHub Copilot. The platform now incorporates models from OpenAI, Anthropic, and Google, allowing developers to choose the AI that best fits their needs. This multi-model approach reflects Microsoft's strategy to provide diverse AI tools rather than relying on a single provider. The introduction of the Copilot coding agent signifies a broader trend in the software industry towards integrating AI into development processes. By automating routine tasks, developers can focus on more complex and creative aspects of software engineering. However, the necessity for human oversight underscores the current limitations of AI and the importance of collaborative human-AI workflows.

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into the world of global news and events? Download our app today from your preferred app store and start exploring.
app-storeplay-store