Tech News
RDI paradigm shifts: how governments can adapt
GCC governments are placing Research, Development, and Innovation (RDI) at the heart of national strategy. According to a new report from Boston Consulting Group and Dubai Future Foundation with the World Governments Summit, six RDI paradigm shifts now define the field. The message is clear: adapt policy and engagement, or risk falling behind.
The six RDI paradigm shifts, in plain language
1) Disciplines are blending. Borders between fields are dissolving. Biology meets materials science; data science powers food tech; wearables turn into nutrient-delivering “smart” textiles. Consequently, governments should fund cross-disciplinary teams, not single-track silos. Interdisciplinary grants, co-supervised PhDs, and national priorities that cross ministries all help.
2) AI + big data need safe “playgrounds.” AI accelerates discovery, from virtual experiments to predictive models. Big data multiplies that effect. However, questions around ownership, consent, and privacy demand guardrails. Therefore, create regulatory sandboxes. In these supervised spaces, researchers and startups can test new methods while regulators stress-test policy.
3) Synthetic intelligence is here. Human expertise now pairs with machine computation. This “synthetic talent” changes methods and speed. Accordingly, education policy must add AI literacy across STEM and beyond. Moreover, public funding should back tools that keep sensitive computation local when possible, balancing capability with control.
4) Lab-to-market must move faster—without skipping basics. Pandemic-era vaccine timelines showed what is possible when mature science meets focused translation. Even so, breakthrough speed relied on decades of fundamental research. Hence, governments should provide patient capital for early-stage work and then unlock private funding as projects mature. This cadence protects depth while rewarding delivery.
5) Impact means more than the “impact factor.” Citations matter, yet they miss real-world value. Updated scorecards should include reproducibility, adoption, jobs created, and societal benefit. Additionally, expert panels can complement metrics. When reviewers celebrate learning, not just outcomes, labs take bold shots and share negative results that move fields forward.
6) Access is widening—and narrowing. Cheap tools and open methods democratize discovery. Meanwhile, compute-heavy AI stacks concentrate power. To keep the door open, governments can fund national computing, bridge academy-industry gaps, and build open data repositories. In parallel, incentives for private knowledge-sharing will broaden participation.
Voices from the ecosystem


Leaders across Dubai echo the urgency. Maya ElHachem of BCG underscores how AI and big data double research productivity and compress timelines in areas like drug development. Khalifa AlQama of Dubai Future Labs stresses talent, patient capital, and pro-innovation environments. Similarly, BCG’s Anna Flynn points to a future shaped by “synthetic talent,” where students treat AI as a research partner, not just a subject.

What can governments do next?
Set cross-cutting priorities. Pick missions that require collaboration—food security, resilient health, and sustainable industry. Then align budgets, grants, and procurement around those missions.
Fund the full pipeline. Back curiosity-driven research; support validation; scale pilots through sandboxes; use demand-side tools like challenge prizes and advance market commitments.
Equip the workforce. Update curricula with AI, data governance, and reproducibility. Additionally, reward faculty who co-create with industry while keeping open-science principles.
Invest in shared infrastructure. Provide secure compute, trusted data spaces, and testbeds for cities, factories, and logistics. Consequently, startups and labs build faster with lower cost.
Measure what matters. Report on translation speed, startup formation, public-private projects, and social impact. Publish the lessons. Improve the scorecard each year.
Dubai’s momentum
Dubai has already moved. The Dubai Research, Development, and Innovation Program advances a knowledge-based economy through grants, sandboxes, and targeted fields such as health, cognitive cities, AI, and robotics. As these programs scale, more founders and labs will find a predictable path from idea to impact.
Bottom line
The world’s innovation map is shifting. Governments that embrace these RDI paradigm shifts—and act with focus—will build ecosystems that prove resilient, ethical, and fast. With clear missions, practical sandboxes, AI-ready talent, and fair access to tools, the region can turn research into lasting value for society and the economy.
Check out our previous post Hybrid mesh firewall: Check Point named a Leader
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.
-
News11 years ago
SENDQUICK (TALARIAX) INTRODUCES SQOOPE – THE BREAKTHROUGH IN MOBILE MESSAGING
-
Trending8 months agoOPPO A6 Pro 5G Review: Reliable Daily Driver
-
Tech News2 years agoDenodo Bolsters Executive Team by Hiring Christophe Culine as its Chief Revenue Officer
-
VAR1 year agoMicrosoft Launches New Surface Copilot+ PCs for Business
-
Automotive2 years agoAGMC Launches the RIDDARA RD6 High Performance Fully Electric 4×4 Pickup
-
Tech Interviews2 years ago
Navigating the Cybersecurity Landscape in Hybrid Work Environments
-
Tech News12 months agoNothing Launches flagship Nothing Phone (3) and Headphone (1) in theme with the Iconic Museum of the Future in Dubai
-
VAR2 years agoSamsung Galaxy Z Fold6 vs Google Pixel 9 Pro Fold: Clash Of The Folding Phenoms


