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Prioritizing Data Security in the Age of Generative AI

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Data Security GenAI

By Samer Diya, META Vice President at Forcepoint

In today’s rapidly evolving technological landscape, the integration of generative AI brings with it a wave of innovation and potential. From revolutionizing creativity, enhancing productivity and generally helping people and businesses work even more effectively the implications of technologies powered by AI are vast and far-reaching. However, amidst the excitement lies a pressing concern: the cybersecurity risks that AI can pose to our data.

As security leaders and their teams embrace generative AI for everything from speeding up administrative tasks to pushing strategy into action, the business imperative to prioritize data security everywhere is clear. Generative AI systems, with their ability to process vast amounts of data, present a double-edged sword for companies. While they offer unprecedented capabilities, they also introduce significant security vulnerabilities. Many tools can collect, store and process large amounts of data from various sources – including user prompts. Consider a scenario where an employee may inadvertently disclose sensitive information (such as unreleased financial statements or intellectual property) through a seemingly innocuous prompt. Tools like ChatGPT or Copilot could leak that proprietary data while answering the prompts of users outside of the organization – not only exposing the organization to third-party risks but also amplifying the potential for data leaks.

The AI Transformation & Data Security
The digital transformation ushered in a new era, but a more profound revolution is upon us: the AI transformation. AI is rapidly reshaping entire industries, and data security is no exception. Businesses must adapt their security strategy to accommodate this, as generative AI risks are revealing themselves as multi-faceted threats that stem from how users inside and out of the organization interact with the tools. And amid all of the opportunities presented by these new technologies, the reality is that AI is further amplifying the need for robust data security controls.

Embracing innovation while alleviating the security risks of generative AI broadly lies in three key pillars: employee awareness, security frameworks, and technological solutions.

  1. Employee Education: Educating employees on the safe handling of sensitive information is paramount. It can be easy for employees to overlook or not even think about data risks when using AI tools, so by raising awareness about the risks associated with generative AI and implementing clear guidelines for data usage, businesses can mitigate the likelihood of accidental data exposure. Security leaders must ensure employees understand what information can and can’t be shared with AI tools, while also informing users of the risk in malware and phishing campaigns that can result from generative AI.
  2. Security Frameworks: Developing company-wide guidelines or frameworks on working with approved AI tools and eliminating shadow IT usage of AI can help users make the right decisions from the start. At a global level, establishing best practices for AI is a challenge because of how quickly the technology is continuing to develop, but a number of countries are continuing to develop frameworks and guidelines.
  3. Prioritizing Data Security Everywhere: Securing data wherever it resides is a business imperative today. Traditional Data Loss Prevention (DLP) capabilities are super powerful for their intended use cases, but with data moving to the cloud and dispersed amongst tools, it is now clear that DLP capabilities also need to evolve while extending abilities and coverage. Cloud-native DLP solutions offer a holistic approach to data security, ensuring compliance and protection across diverse environments. By prioritizing unified enforcement to extend data security across key channels, cloud-native DLP streamlines out-of-the-box compliance and provides enterprises with industry-leading cybersecurity wherever data resides – essential for safeguarding the AI era.

Additionally, leveraging innovations such as Data Security Posture Management (DSPM) solutions further enhance data protection capabilities. The sheer volume and complexity of data can be overwhelming – but AI-powered DSPM solutions such as Forcepoint DSPM equip businesses with unmatched accuracy to help security leaders identify and remediate data risks proactively, bolstering their security posture in real-time. At Forcepoint, our commitment to data security extends beyond mere protection – it’s about empowering organizations to thrive in an era of unprecedented digital transformation.

A Unified Approach
Platforms that combine technologies like DSPM and DLP into a unified solution that prioritizes data security everywhere are ideal – bridging security capabilities wherever data resides. At Forcepoint, our Data-first approach to security offers a comprehensive solution for securing data across all channels – enabling organizations to confidently integrate generative AI with full, real-time visibility and control.

Establishing security frameworks that prioritize data security everywhere is integral for organizations looking to navigate the AI transformation with confidence. The advent of generative AI heralds a new era of innovation and possibility, but, with great power comes great responsibility – and it’s incumbent upon businesses to prioritize data security in this evolving landscape. By embracing a proactive approach to cybersecurity and leveraging innovative solutions, organizations can unlock the full potential of generative AI while safeguarding their most valuable asset – their data.

Tech Features

AI and Digital Currencies Transform MENA Into Rising Fintech Leader

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abstract representation of AI and digital currencies

By Naser Taher, Chairman of MultiBank Group

Naser Taher, Chairman of MultiBank Group
Naser Taher, Chairman of MultiBank Group

The Middle East and North Africa (MENA) region has become the leading laboratory for financial innovation, where artificial intelligence (AI), central bank digital currencies (CBDCs), and sovereign wealth fund (SWF) strategies converge to reshape global cash flows. According to the World Economic Forum, venture capital investments in MENA grew by about 33% a year from 2015 to 2023, with funding reaching $644 million in 2024. This surge reflects deliberate efforts to position the region as a fintech powerhouse for the new economy.

One of the most significant developments is the strategic collaboration between the Abu Dhabi Investment Office (ADIO) and the Trump Organization to establish an AI and Web3 Free Zone. The $6.6 billion initiative aims to attract global tech firms, AI researchers, and fintech ventures to the UAE, further cementing MENA’s leadership in next-generation digital infrastructure.

Machine learning algorithms now process trades worth billions on Saudi Arabia’s Tadawul exchange daily, while automated risk assessment systems evaluate loan applications in real time from Dubai to Riyadh. Saudi Arabia’s Financial Sector Development Program has embedded AI throughout its capital markets ecosystem as part of Vision 2030’s broader economic transformation. PwC analysis projects this technological integration will generate almost $135 billion for the country’s economy by 2030, fundamentally altering how banks manage liquidity, assess credit risk, and compete regionally.

Central banks across the Gulf have moved beyond theoretical frameworks into live testing of digital currencies. The UAE’s Digital Dirham is set to enter retail circulation through licensed banks and fintech companies by late 2025, enabling near-instant cross-border payments where traditional banking requires days and charges hefty fees. Meanwhile, Saudi Arabia and the UAE have jointly piloted Project Aber, issuing a single wholesale CBDC. 

Gulf SWFs are reshaping the region’s infrastructure landscape, no longer content with simple portfolio plays. These institutions now control $4.9 trillion in assets, with projections reaching $7.3 trillion by 2030. In the first nine months of 2024, they accounted for 40% of all international SWF transactions, deploying $55 billion across 126 deals. Notably, Abu Dhabi’s Investment Authority and Saudi Arabia’s Public Investment Fund (PIF) are increasing allocations to blockchain and digital projects. In Qatar, the Qatar Investment Authority is working through the Qatar Financial Centre’s new Digital Asset Regulations 2024 to trial real-world asset tokenization.

Alongside these public sector moves; private institutions are also innovating on a scale. MultiBank’s new Electronic Communication Network (ECN) will introduce the Gulf’s first interbank trading and prime brokerage ecosystem, linking BRICS and GCC jurisdictions. Designed to compete with Western counterparts such as Bloomberg and Reuters, it connects conventional trading desks to machine-driven order routing and the MultiBank Chain’s tokenization layer. Cross-border deals become faster, safer, and more transparent, with settlements possible in gold or a mix of currencies instead of U.S. dollars alone. By opening the door to tokenized real-world assets and other decentralized products, the network sharpens the Gulf’s bid to serve as a global finance hub.

However, important challenges remain. Fintech ventures still need to navigate a maze of rules that shift from one border to the next; a single, region-wide framework would let ideas—and capital—move faster. As more money flows online, hackers gain fresh openings, and cybersecurity becomes even more critical. And while Gulf youth embrace tech with ease, the GCC needs far more specialists who can work with blockchains, train risk models, and secure CBDC payment rails. That calls for a push on everything from university courses to mid-career reskilling.

The next breakthrough won’t come from technology alone but from how well policymakers, entrepreneurs, and the sovereign heavyweights backing them work in sync. CBDC pilots are live, AI already guides trading desks, and deep pools of patient capital sit ready to fund new ideas. If the region’s key players keep pulling in the same direction, the Gulf won’t just join the digital finance conversation—it could end up leading it.

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Tech Features

Unleash Unmatched Cyber Defense: Sophos Firewall v21.5’s Breakthrough NDR-Essential

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Colleagues collaborating around a table in a modern office, captured candidly in natural light.
Chris McCormack, Senior Product Marketing Manager at Sophos

Sophos, a global leader in innovative security solutions for defeating cyberattacks, recently announced an update to its Sophos Firewall. Now, Sophos Firewall includes Sophos NDR Essential—free for all customers with an XStream Protection license.

With this integration, Sophos Firewall leverages two dedicated artificial intelligence engines to detect malware communications and algorithmically generated domain names. This new capability, powered by the Sophos Network Detection and Response probe, identifies previously unknown threats and complements the Active Threat Response features already in place.

Sophos Connect Integrates EntraID for SSO

The VPN client bundled with Sophos Firewall now supports EntraID (Azure AD) for single sign-on. This enhancement secures SSL and IPsec VPN connections and improves user experience by adding multi-factor authentication for both Sophos Connect and the user portal.

Other VPN-related improvements include:

  1. Intuitive interface updates: “Site-to-site” is now “policy-based,” and “route-based” tunnel interfaces are renamed for clarity.
  2. Dynamic IP pool validation: Prevents address conflicts across SSL VPN, IPsec, L2TP, and PPTP.
  3. Strict profile enforcement: Excludes default IPsec profile values to ensure algorithm synchronization and eliminate session negotiation issues.
  4. Enhanced scalability: Supports up to 3,000 route-based VPN tunnels, 1,000 SD-RED site-to-site tunnels, and 650 concurrent SD-RED devices.

Additional Management Enhancements

Furthermore, Sophos has rolled out several management improvements to streamline daily operations:

Flexible IPv6 DHCP-PD: Supports /48 to /64 prefixes for better ISP compatibility.

RA and DHCPv6 server enabled by default: Simplifies IPv6 deployments.

Resizable table columns: Improves the admin interface on ultra-wide screens.

Advanced search: SD-WAN routing and local ACL rules now support name, ID, and content-based searches.

Default configuration updates: Only the default network and MTA rules are provided; custom gateway probes and rule groups default to “None.”

Secure by Design

Moreover, Sophos continues to harden its firewall platform with a secure-by-design approach. Specifically, features are containerized, and integrity checks on critical OS files use mathematical checksums—any mismatch triggers an alert. Consequently, monitoring teams can swiftly identify potential compromises and react accordingly.

Availability

Customers can download and deploy this update manually on any Sophos Firewall with a valid license.

For more on Sophos’s Middle East strategy, check out our previous coverage:
Sophos Announces Intent to Expand Middle East Operations with New Data Center in the UAE

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Tech Features

Driving the Future: How Logical Data Management Powers EV Innovation in the UAE

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EV assembly line showing virtual data dashboards and logical data management overlays.
By Gabriele Obino, Regional Vice President and General Manager, Southern Europe, Middle East and CIS, Denodo

Logical data management is revolutionizing EV production in the UAE by replacing slow, siloed systems with a virtualized data layer. Consequently, manufacturers like Seres report an 88% reduction in data delivery time, empowering on-shop-floor decision-making and accelerating Industry 4.0 initiatives.

The Rise of Logical Data Management in EV Manufacturing

Under the UAE’s Operation 300bn strategy, EV production faces surging data volumes. Traditional ETL pipelines buckle under real-time demands. By contrast, logical data management—often called data virtualization—creates a semantic layer that unifies multiple stores without replication. This approach slashes latency, reduces storage overhead, and accelerates analytics across design, production, and operations.

Limitations of Traditional Data Systems for EV Production

Legacy batch-driven data warehouses delay critical actions. In a high-stakes assembly line, even millisecond lags can compromise quality or safety. Moreover, centralized silos inflate storage and governance costs, especially under strict UAE data-sovereignty laws. Static architectures simply cannot keep pace with AI-driven analytics or digital twin simulations.

Adopting Logical Data Management for Real-Time Insights

Firstly, Logical data management platforms (Denodo) let shop-floor teams query live data instantly. For example, EV manufacturer Seres cut data delivery time by 88% and built 600+ self-service analytics apps. Furthermore, virtualized data services simplify compliance with role-based security, ensuring governed access to sensitive vehicle-PII under UAE regulations.

Implementation Strategy for Logical Data Management

1-Identify critical data sources affecting safety, cost, and sustainability

2-Pilot virtualization on latency-sensitive processes such as battery-pack assembly

3-Enforce governance policies to maintain data integrity and security

4-Train non-technical staff on user-friendly analytics tools

5-Monitor production metrics improvements to scale across the factory

Additionally, regular reviews help refine and scale each phase effectively.

Future Outlook for Logical Data Management in the UAE EV Market

Looking ahead, as the EV sector grows beyond the current US$1.8 billion market, data becomes as vital as any physical component. Therefore, by valuing data on par with hardware, UAE factories can slash defects, boost efficiency, and maintain a competitive advantage. Consequently, early adopters of logical data management will lead the next wave of automotive innovation.

For more on cutting-edge EV innovations in the region, check out our feature:
NIO’s Industry-Leading Innovations Set New Benchmarks for Intelligent Premium Electric Mobility

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