Tech News
How Connected Data Ecosystems Are Unlocking New Business Growth
Cloud data ecosystems are the way forward for both industrial enterprises and the technology providers that support them, says Rónán de Hooge, Executive Vice President, Cloud Platform Business, AVEVA. An industrial environment where machines anticipate their own maintenance needs, supply chains innovate in response to real-time demand and resource shifts, and industries operate with unparalleled efficiency and minimal waste—all orchestrated by human experts?
That vision is fast becoming a reality as industries organize in response to the evolving business landscape. Disrupted supply chains, resource scarcity, changing customer needs and increasing regulation are all now commonplace in our integrated, digital-first economy. Success in this challenging environment depends on collaboration. When suppliers, distributors and other chain partners share business information, insights and best practices, they can create combined value that exceeds what each can achieve individually.
Businesses aren’t just connected to each other—they’re interdependent. In industry and elsewhere, the future of business increasingly relies on a connected data ecosystem. Data ecosystems represent the next wave of digital transformation. They leverage a trusted network of technologies to connect people with data from industrial operators and their partners.
With industrial data ecosystems, companies gain access to new capabilities or expertise they may not have in-house. More importantly, a unified view across the value chain, enables companies to discover crucial new insights and leverage broader expertise that enhance their abilities amid a changing business environment. When this industrial intelligence is unified and shared in the cloud, every value chain participant – including partners, regulators and customers – can visualize routes to better efficiency, productivity and sustainability.
Data is the bedrock of growth for the industrial enterprise
Businesses everywhere are now using connected data ecosystems with customers, suppliers, partners and operators. Such integrated networks may even straddle two or more formerly separate sectors. In all cases, they carry value for each player within the ecosystem, including for technology developers.
At the core of this collaboration is data. Industrial organizations now collect data in greater quantities and from a wider variety of sources than ever before. Too often, however, this strategic asset remains siloed at the point of collection because of technology, security and governance barriers, rendering it inaccessible to even internal departments.
Sharing data across an organization—as well as with external partners—gives every player within the ecosystem a contextual understanding of how to optimize their role in the value chain. Industrial organizations are therefore catalyzing digital transformation to create seamless collaboration across the lifecycle and unlock greater value and sustainability gains for all stakeholders.
Around the world, many players are already leveraging these platform services to drive positive outcomes on several fronts:
- Drive efficiency through collaboration: Sharing data from a single source of truth empowers experts—regardless of location or technical background—to make better decisions faster.
- Achieve environmental, social and governance (ESG) targets: Viewing unified value chain data in context helps surface the interdependent areas where sustainability action can have the greatest impact, such as greater circularity, improved efficiency, reduced emissions and better regulatory compliance.
- Enhance individual and joint innovation: The competitive advantages gained from secure data-sharing communities strengthen trusted supplier and partner relationships. By adding context to real-time data, companies can expedite R&D, innovate together and mutually enhance competitive advantages.
- Improve decision-making: Seamlessly connecting diverse data sources and extensible applications within an ecosystem gives businesses richer and more complete insights that can reduce operational costs and improve revenue outcomes.
- Transform business for faster revenue: An industrial data ecosystem delivers value within hours instead of days or weeks. Accordingly, companies can achieve faster adoption, expand their market reach, and leverage economies of scale—all while reducing costs through lower software investments upfront and lower ongoing IT and maintenance expenses.

How ecosystem building works for technology companies
As industries begin strategizing for the outcomes enumerated above, data ecosystems are helping them meet their needs. This kind of ecosystem thinking also supports innovation for technology providers and developer partners.
Such digital platforms bring together a multitude of complementary solutions and applications that can be tailored to specific business needs. At their core, such an industry data community is a network of interconnected software applications, services, and platforms that integrate seamlessly to enhance process efficiencies while uncovering new value for end customers.
With an open and neutral platform, partners can expedite the development of emerging technologies and services, driving agility and value for customers. The ability to securely share specific data streams within a standardized format and with granular control supports the development of new applications and value-added services – without compromising intellectual property.
This adaptability is a game-changer at a time of increasing cross-domain innovation, when developments in one field, such as artificial intelligence, can support progress in another area. Connected data ecosystems provide the advantages developers need in an ever-evolving industrial landscape.
Industry appetite and the flywheel effect
Different industrial sectors have either already added to, or are accelerating, their investment in connected data ecosystems. The vast majority (90%) of respondents in IDC’s 2023 Future of Industry Ecosystems global survey said they plan to maintain or accelerate their investment into such data ecosystems this year and next. Principal motivations included increasing business agility, better process automation, improved systems integration, and increased data-sharing with partners, including for ESG reasons.
The survey interviewed 1,288 C-suite and business line executives decisionmakers across energy, construction, process manufacturing, government and other industries around the world. Overall, the appeal of the connected data ecosystem could lie in its ability to accelerate the flywheel effect, a concept familiar to engineers.
With the flywheel effect, small wins accumulate over time to create a momentum that keeps the business growing. Likewise, within the kind of integrated data community described here, every player can expect to be able to recalibrate for resilience in real-time, driving incremental gains for all stakeholders on a continuous basis.
Whether for industrial enterprises, technology companies or developers, the whole truly then becomes worth more than the sum of its parts. The value of connected data ecosystems—and the potential exponential growth they promise—will be the foundation of our sustainable future.
Tech News
UNGOVERNED AI AGENTS AND SOPHISTICATED DEEPFAKES POSE CRITICAL THREATS FOR THE UAE & SAUDI ARABIA ORGANISATIONS, NEW KNOWBE4 RESEARCH WARNS
KnowBe4, the global leader in digital workforce security, securing both AI agents and humans, today announced the launch of its new research report, “From Agentic Risk to Human Wins: Building a Culture of Security in the Era of Agentic AI.” The findings expose a dangerous reality for modern organisations in the United Arab Emirates and Saudi Arabia: autonomous AI tools are expanding the corporate attack surface faster than security teams can implement guardrails.

With agentic AI now widely embedded in day-to-day work, 84% of cybersecurity leaders in the UAE & Saudi Arabia report that AI agents are already taking actions within organisational workflows. However, a lack of governance is leaving organisations exposed; the report shows that around 1 in every 4 organisations (24%) report their use of AI is unapproved or ungoverned. This unmanaged “Shadow AI” effectively operates as an invisible layer of shadow employees handling sensitive organisational data without oversight.
Key Findings from the Report:
- 88% of employees in the UAE & Saudi Arabia say that deepfake voice and video content is now so realistic it is impossible to know what to trust and 52% openly admit they could be tricked by a deepfake scam at work.
- More than half (54%) of cybersecurity leaders in the UAE & Saudi Arabia report that mistakes during everyday work have had the greatest impact on their organisation’s cybersecurity in the past 12 months. Compounding this, 44% of employees acknowledge that time pressures and workplace distractions actively drive them to make critical security mistakes, even when they know the safe protocol.
- 36% of cybersecurity leaders in the UAE & Saudi Arabia identify AI-enabled attacks as a key driver of future human-related cybersecurity risks.
- 41% of employees reported that they commonly source their own agentic AI tools where options are unavailable or restrictive, leaving organisations vulnerable to cyberattacks. Concurrently, 52% of cybersecurity leaders report that the use of unsanctioned software and AI apps has actively impacted their security posture over the past 12 months.
- Although 76% of security leaders feel “very well prepared” to handle unexpected or emerging AI-driven threats over the next year, 84% of them confirmed that improvements are still needed to ensure AI tools and agents operate within organization’s security policies and approved risk limits.
The report shows that organisations making progress are those who prioritise cybersecurity as a culture over a mere function, seamlessly incorporating secure behaviours into daily work. These organisations are creating environments where employees feel safe reporting mistakes, with 82% of employees agreeing.
“Cybersecurity has entered a volatile phase where organisations are trying to secure a hybrid human and AI workforce that’s changing more quickly than security leaders can keep up,” said Dr. Martin Kraemer, CISO Advisor at KnowBe4. “Attackers are moving at machine speed, using attacks such as deepfakes to target employees and prompt injections to hijack AI agents. Leaving almost a quarter of your corporate AI usage ungoverned is a massive open invitation to threat actors.”
The “From Agentic Risk to Human Wins: Building a Culture of Security in the Era of Agentic AI” report concludes that achieving “Wins” requires organisations to design systems that guide behaviour, build supportive cultures, and shift from tracking failures to reinforcing positive actions, and extending a security-first mindset across both AI agents and humans.
Tech News
Cequence Platform 9.0 Puts an AI Security Expert in Every Team’s Hands
Cequence Security, the leader in application, API, and agentic AI protection, today announced general availability of Cequence Platform 9.0, an AI-native release that fundamentally changes how users interact with API security tools. Platform 9.0 ships with a built-in AI Assistant, an open Model Context Protocol (MCP) server that exposes every platform capability to an organization’s agents or automation workflows, a compliance-ready risk rules library mapped to 25 global regulatory frameworks, and a re-architected API security engine built to handle the largest enterprise API estates without performance degradation.
Agentic AI is transforming how enterprises interact with their customers, and internal IT teams are adopting AI agents faster than their security tools can keep up. Unlike vendors that add a simple chatbot to their existing product, Cequence took the opposite approach; the entire platform is AI-native and open, enabling customers to use Cequence’s built-in model or one of their choosing. With Platform 9.0, any practitioner can open a conversation and start asking the questions they actually care about, without knowing the interface, navigating menus, or understanding how the product works. The platform finds the answers. Teams with sophisticated AI workflows can use their own agents to directly drive these same capabilities through the open MCP architecture, without the need for custom integration.
Ameya Talwalkar, CEO and Co-Founder at Cequence, said: “Most vendors looked at the agentic era and added a chatbot. We looked at it and rebuilt the architecture. Cequence Platform 9.0 exposes the entire Cequence platform through an open MCP architecture so any agent can operate it directly, whether through our built-in AI Assistant, or a customer’s own agent. That is what AI-native actually means: the UI becomes optional. We are building for the way the agentic enterprise already works, while making sure a human approves every change along the way.”
AI-Native Platform with a Built-In AI Assistant
Cequence Platform 9.0 ships with a built-in AI Assistant that answers plain-language questions such as “What is my biggest risk right now?” with ranked, evidence-backed findings drawn from live platform data. Unlike most security chatbots that only deliver value in the hands of experienced practitioners, the Cequence AI Assistant arrives with skills built on years of application, API, and data protection work in high-traffic enterprise environments, able to guide practitioners of all skill levels from day one.
Agent capabilities in Platform 9.0 include:
- Drive valuable actions from simple conversations: use plain-English to easily and quickly drive results. Have the AI Assistant classify APIs, identify risks, draft rules, and create reports, all without navigating the UI.
- Open MCP server: any MCP-capable agent, SOAR platform, or automation workflow can interact with, configure, and pull insights from the platform through an open API contract, with no custom integration, incorporating API security into broader agentic workflows
- Human in the loop: read actions run freely; every proposed write shows the exact change and requires explicit human approval before anything happens
- Full transparency: every answer exposes the AI Assistant’s reasoning and the underlying tool calls; when it lacks a tool for a task, it says so rather than guessing
Shreyans Mehta, CTO and Co-Founder at Cequence, said: “Most security chatbots are only as useful as the person asking the questions, which means they fall flat in the hands of anyone who is not already an expert. We built the Platform 9.0 agent differently. It runs a full agentic loop, planning which tools answer the question, calling them, and synthesizing ranked, evidence-backed recommendations while showing you exactly how it got there. When it does not have the tool to do something, it tells you instead of guessing. That governance-first design is not an afterthought. It is the same conviction behind the Cequence AI Gateway, and it is what makes this safe to put in front of any practitioner from the start.”
Compliance-Ready Risk Rules and Compliance Packages
Compliance is the most common forcing function for an API security purchase, and the most common place programs stall. Platform 9.0 ships the rules, frameworks, and reports to make customers audit-ready immediately, with no professional services and no custom rule development required.
Compliance capabilities in Platform 9.0 include:
- 250+ pre-built risk rules: Mapped to 25 global compliance frameworks including OWASP API Security Top 10 (all versions), PCI DSS, GDPR, HIPAA, SOC 2, ISO 27001, NIST CSF, DORA, NIS2, LGPD, SAMA, MAS TRM, and additional regional frameworks across the Americas, EMEA, and APAC
- One-click audit-ready reports: each report builds from live data, maps findings to the framework’s specific controls, scores risk by control area, and provides remediation guidance for every gap; reports can be company or partner branded
- Observe mode: see how proposed rules perform for testing purposes without raising formal issues, allowing teams can add frameworks without a flood of unreviewed findings
- Test panel: validates any rule against sample request and response data before activation
Re-Architected API Security Engine Built for Enterprise Scale
Agentic AI is accelerating API endpoint growth faster than any prior technology wave. Platform 9.0 includes a complete rebuild of the engine that discovers, catalogs, and scores risk across an organization’s API estate, delivering higher performance at a smaller CPU footprint.
API security engine improvements in Platform 9.0 include:
- 50x increase in API endpoints supported: with sub-five-second page load times across every view regardless of endpoint count
- Reduced compute costs: dramatic CPU footprint improvements translate directly into lower infrastructure costs, especially for on-premises deployments
Tech News
Magna AI and Saudi Xerox Establish Strategic Framework to Advance Sovereign AI Infrastructure Across Saudi Arabia
Magna AI, Inc., the global integrated‑value‑chain sovereign AI transformation leader established through a partnership between Trend Micro and Wistron Digital Technology Holding Company (WDH), powered by NVIDIA, today announced a strategic collaboration with Saudi Xerox, official representation of Xerox Trading Company in Saudi Arabia that is redefining the workplace experience by providing solutions to improve business processes, automation, and printing technology. The initiative was formalized during the Global AI Show 2026 in Riyadh by Dr. Moataz BinAli, Chief Executive Officer of Magna AI, and Mehmet Sezer, General Manager of Saudi Xerox.
The strategic framework will enable both companies to advance AI data centres, sovereign AI Factory capabilities, secure AI platforms and large-scale AI adoption for both government-led national initiatives and enterprise customers. The collaboration is aligned with Saudi Arabia’s digital transformation agenda and Vision 2030 objectives, with a focus on enabling secure, scalable, and locally relevant AI adoption across the public and private sectors.
The collaboration comes amid rapid expansion of the Kingdom’s AI infrastructure sector. Saudi Arabia’s AI data center market is forecast to grow from USD 0.63 billion in 2025 to USD 1.74 billion by 2030, representing a compound annual growth rate of over 22%, according to Mordor Intelligence. This growth is driven by Vision 2030 digital investment, government data-sovereignty mandates, and rising demand for locally hosted AI workloads.
“Saudi Arabia is building one of the most ambitious national AI agendas in the world, and that requires infrastructure with governance and security built in, shaped around the organization’s own requirements rather than a vendor’s defaults which creates the conditions for genuine long-term control,” said Dr. Moataz BinAli, Chief Executive Officer, Magna AI. “By combining Magna’s full value-chain AI Factory capabilities with Saudi Xerox deep on-ground presence in the Kingdom, we can help government and enterprise organizations move from AI ambition to AI at scale on infrastructure they own and control. This alliance also reflects our commitment to working with local partners to build the AI capacity, resilience, and ecosystem required to support long-term national transformation.”
Under the agreement, Magna AI will drive AI Factory architecture, platform development, AI security, and governance frameworks, while Saudi Xerox will support local infrastructure integration, security operations, compliance alignment and on-ground execution across the Kingdom.
The two companies intend to collaborate across several areas, including sovereign AI Factory development for large-scale model training, fine-tuning, inference, agentic AI operations, and data pipelines; secure AI operations aligned with Saudi data-residency and cybersecurity requirements; sector-specific AI applications for government and enterprise; and AI skills development and capacity building.
“Saudi Xerox is committed to supporting the Kingdom’s digital transformation through advanced IT, cloud, managed services, and cybersecurity capabilities,” said Mehmet Sezer, General Manager, Saudi Xerox. “This joint effort brings together Magna’s AI platform and security expertise with our established services and execution capabilities in Saudi Arabia, enabling national institutions and enterprises to adopt advanced AI with confidence and in line with local regulatory requirements. Our aim is to help organizations to adopt AI in a secure, compliant, and practical way that supports measurable business and national outcomes.”
Magna AI is the Title Sponsor of the Global AI Show 2026. Throughout the two-day event, Magna AI is showcasing is its sovereign AI infrastructure and enterprise AI platforms, as well as it’s security and industry-focused solutions. Magna AI leaders are also offering perspectives to organizations across industries looking to build production-ready AI that delivers measurable business outcomes.
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