Trinexia partners with NetSPI to bring proactive security services to the Middle East
World-class innovations and digital transformation in the Middle East are driving staggering growth, expected to continue at a rocket-fueled pace with a 10.2% CAGR from 2024 to 2028. However, with rapid growth comes increased cyber risk, including hack and leak operations, insider threats, and nation-state attacks. To combat this, the region needs the strongest proactive security possible through a robust continuous threat exposure management (CTEM) program. A recent Gartner report (The Gartner® Cybersecurity Turbulence in 2024: 7 Forces That Will Threaten Your Organization's Future report, August 2024) found that organizations investing in CTEM will suffer 67% fewer breaches by 2026. This is where a partnership between NetSPI and TRINEXIA makes a difference—NetSPI's 300+ penetration testing experts across 50+ service lines can test everything from chips, to the cloud, to mainframes, and even AI, while also providing TRINEXIA's partners and customers with proactive security solutions to stay ahead of evolving cyber risks.
NetSPI is committed to supporting businesses with Penetration Testing as a Service, External Attack Surface Management (EASM), Cyber Asset Attack Surface Management (CAASM), and Breach and Attack Simulation, all powered by The NetSPI Platform—an integrated SaaS solution designed to propel continuous threat exposure management (CTEM) programs forward. The NetSPI Platform consolidates these capabilities into a single interface, enabling organizations to establish an accurate asset inventory, identify exposures, evaluate and prioritize risks, manage vulnerabilities, and validate security controls in a continuous cycle to enhance cybersecurity resilience. Backed by NetSPI's security experts, The Platform empowers businesses to embrace rapid innovation with confidence while safeguarding customer trust.
'This partnership with TRINEXIA underscores NetSPI's commitment to delivering proactive security solutions across the Middle East,' stated Alvaro Warden, VP of Worldwide Partnerships at NetSPI. 'Together, we're empowering businesses with the tools and expertise needed to strengthen their cybersecurity posture amidst evolving threats. By combining NetSPI's industry-leading services with TRINEXIA's regional expertise, we are poised to drive meaningful outcomes for organizations of all sizes.'
NetSPI is proud to partner with TRINEXIA as it expands and scales in 2025 and beyond, bringing industry-leading proactive security solutions to businesses across the Middle East and North Africa. In a short time, this collaboration has already shown great success, and both organizations are committed to a seamless, integrated approach, investing in pre-sales, sales, and post-sales efforts to support organizations of all sizes and industries. A detailed account mapping process is underway, focusing on identifying key partners across the region, while regular marketing activities will enhance NetSPI's presence and drive awareness of proactive security. With NetSPI, businesses in the Middle East will gain access to a world-class security partner, supported locally by TRINEXIA, experienced cybersecurity specialists and an extensive partner network. This partnership will accelerate joint go-to-market strategies, industry-specific initiatives across the Middle East to deliver The NetSPI Platform to public and private organizations within the region. As a global leader in proactive security services, NetSPI is thrilled to embark on this next phase of growth with TRINEXIA and extends its gratitude for their dedication and shared vision. Together, we are committed to strengthening cybersecurity across the region and ensuring businesses have access to best-in-class security expertise and solutions.
About NetSPI:
NetSPI is a proactive cybersecurity provider that helps businesses identify, prioritize, and fix critical security vulnerabilities to protect what matters most. Combining expert security teams, advanced technology, and intelligent processes, NetSPI enables organizations to approach cybersecurity with clarity, speed, and scale.
With a unified platform that provides solutions like Penetration Testing as a Service (PTaaS), External Attack Surface Management (EASM), Cyber Asset Attack Surface Management (CAASM), and Breach and Attack Simulation (BAS), NetSPI delivers actionable insights and high-impact results tailored to business needs.
Trusted by top global brands—including nine of the top 10 U.S. banks and several Fortune 500 companies. NetSPI is headquartered in Minneapolis, MN, with offices worldwide. Follow us on LinkedIn and X.
About TRINEXIA:
Established in 1999, TRINEXIA is a PAN-EMEA specialty Value-added Distributor, and a leader in providing the most trusted solutions within Cyber Security, Digital Forensics, Application Security, Identity & Payments, Data Security & Governance space. We are a pure-play provider of cybersecurity and forensics solutions, to both public and private sector enterprises. At TRINEXIA, we are consistently and successfully adding great value to our partner community, with our partners, we design and deliver intuitive, trusted, and leading solutions that are customized to achieve the required results, whilst being admired for our people, partnerships, and performance.
For more information visit www.trinexia.com and follow us across all social media platforms.
Hashtags
Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles
Channel Post MEA
14 hours ago
- Channel Post MEA
Gartner: Worldwide PC Shipments Increased 4.4% In Q2
Worldwide PC shipments totaled more than 63 million units in the second quarter of 2025, a 4.4% increase from the second quarter of 2024, according to preliminary results by Gartner, Inc. 'In the second quarter of 2025, enterprise demand outpaced consumer demand, underpinned by Windows 11 migrations and pandemic-era desktop renewals, while consumer refreshes slowed as buyers deferred purchases,' said Rishi Padhi, Research Principal at Gartner. 'PC shipments are forecast to rise 2.4% in 2025, propelled by a tariff-driven front-loaded inventory surge in the first half of 2025 in the U.S., and ongoing Windows 11 replacement cycles in the rest of the world. In the second half of 2025, shipment growth is expected to plateau as vendors draw down stock in response to demand, potentially creating excess inventory by year-end. 'From a regional perspective, North America PC shipments declined 0.5% in the second quarter of 2025, compared to the same time last year,' said Padhi. 'The total PC market in APAC remained flat year-over-year, which is a slight improvement after consecutive quarters of decline. Meanwhile, the EMEA PC market grew 5.3% year-over-year. This illustrates signs of a modest recovery and stronger-than-usual seasonal demand. The Windows 11 refresh cycle remains a key driver, particularly for desktop replacements. However, the expected surge in new device purchases has been subdued, as many organizations opt to update existing PCs to Windows 11 rather than invest in new hardware.' There were no major changes in the top five vendor rankings worldwide in the second quarter of 2025 (see Table 1). Lenovo saw the strongest growth in global PC shipments among the top five vendors at 13.9% year-over-year.
TECHx
4 days ago
- TECHx
Why Quality Data Matters for AI Success
Home » Expert opinion » Why Quality Data Matters for AI Success Quality data is the foundation of AI success. Yasser Shawky explores why trusted, AI-ready data is essential for innovation, scalability, and long-term business value. I was recently speaking to my mother about what she'd been cooking lately, and was amused to learn that she now uses ChatGPT to help her come up with new recipes. I couldn't help but smile at how pervasive AI has already become. When even our parents are comfortable treating LLMs as their culinary consultants, you know the technology has crossed a noteworthy threshold. It also got me thinking. In this case, the advice she received was useful. But what if the AI hallucinated, as it sometimes does, and suggested swapping sumac for cinnamon in a delicate Middle Eastern dish? That would almost certainly ruin the flavour. And what if the same thing happened in a more serious context like a home remedy, financial advice, or supplement recommendation? The consequences could be dire. That small, charming exchange has stayed with me, because it's a fitting metaphor for what I see happening across the Middle East as organisations rush to capitalise on AI. Like my mother with her recipes, businesses see the promise and want to seize it. But without proper visibility into the inputs AI models are drawing from, and without governance over the data that fuels them, they're exposing themselves to risk. AI's Dot-Com Moment With AI adoption proceeding at breakneck pace, it might feel like we're venturing deep into uncharted territory. And while that's undoubtedly true, the IT industry has stood at a similar inflection point before. Just over two decades ago, the world watched as the dot-com boom of the late 1990s rewrote the rules of business almost overnight. In that exhuberent environment, many crashed and burned, but those that invested in solid infrastructure, user experience, and sustainable business models emerged as titans, still standing strong today. Now, we're living through AI's own dot-com moment and just as with the internet revolution, the winners won't be those who leap in first. Winners will be those who lay the right foundations, especially when it comes to data. Why Data, Not Just AI, Should Be the Starting Point It's easy to be dazzled by the tech itself. Large language models, generative AI, machine learning, have entered daily dialogue. But these are just enablers. The true foundation of any successful AI implementation is a strong data platform. It's a truth the industry has long known but often skirts around, poor data quality destroys business value. According to Gartner, the average cost of bad data is estimated at US$10.8 million per year per organisation. The reasons? Duplicate entries, outdated records, inconsistent formatting, missing fields, lack of data governance and lineage, and fragmented systems. Every Chief Data Officer is all too familiar with these challenges. But flip the equation and the potential is transformative. When data is accurate, complete, consistent, timely and relevant, what we at Informatica call 'AI-ready', then use cases that once seemed overly complex suddenly become achievable and durable. That's when data chaos is turned into business value. It's not just about better models. It's about creating a single, authoritative view of enterprise data that everyone, from executives to frontline staff, can trust. Like a chef who knows exactly what's in their pantry and how fresh it is, with data you can trust, you can cook up something extraordinary, without unpleasant surprises. One Foundation, Many Use Cases Let's explore this in practice by taking the example of an innovative bank. Its marketing team is keen to leverage AI to offer hyper-personalised financial products. They want to know when a customer might be buying a home, starting a business, or sending their child to university so they can provide timely, tailored offers. Meanwhile, their fraud detection team wants to use AI to spot suspicious patterns in real-time, saving customers the need to self-report. Two vastly different use cases. But they share one foundational need: up-to-date, accurate behavioural and transactional data. The marketing team can't personalise without knowing the customer. The fraud team can't protect without understanding what 'normal' looks like. If each team tries to build its own data pipeline, you end up with duplication, inefficiency, and inconsistent insights. Instead, by investing in a common, trusted data layer, like we at Informatica call turning chaos into business value, you empower every department across the organization to innovate, scale and advance. According to McKinsey, as much as 70% of the effort in developing AI solutions is spent on wrangling and harmonising data. Solve that once, and your entire organisation becomes more agile, more aligned and more AI-ready. Getting Your Data AI-Ready So how do you get there? It starts with acknowledging that data is not just an IT problem, it's a strategic asset belonging to the entire organisation. Preparing your data for AI involves more than cleansing spreadsheets. It requires a robust data governance framework that ensures integrity, compliance and accessibility. It requires scalable infrastructure, ideally cloud-based, that can grow with your ambitions. It requires investment in data literacy, so your people, across all functions, understand how to question, interpret and act on data. Most of all, it requires trust. As Robin Miller, Group Data Manager at Lowell so perfectly put it, 'The vision I describe to my colleagues is that they'll be able to implicitly trust the data that informs them, no matter where in our organisation it comes from.' That trust is what enables action. And in a world moving as fast as ours, trusted action is everything. Long-Term Value over Short-Term Buzz There's no denying the momentum behind AI. But there's a real risk in chasing short-term wins — pilots that can't scale, models that aren't reproducible, projects that promise much but deliver little. What's needed is a long-term mindset. That begins with data. By prioritising data quality and investing in AI-readiness from the ground up, organisations position themselves to move faster, not slower. They create the conditions for innovation to thrive. They accelerate business value by enabling data to flow freely, reliably and securely across systems, departments and applications. And most importantly, they ensure that when the hype cycle inevitably plateaus, their AI investments continue to pay dividends. In the race for AI success, it's not the flashiest use cases that win, it's the strongest data foundation. By Yasser Shawky, Vice President, Emerging Markets (MEA) at Informatica
Channel Post MEA
5 days ago
- Channel Post MEA
Gartner: Spending On GenAI Models To Total $14.2 Billion In 2025
Worldwide end-user spending on generative AI (GenAI) models is projected to total $14.2 billion in 2025, according to Gartner, Inc. End-user spending on specialized GenAI models, which include domain-specific language models (DSLMs), is estimated to total $1.1 billion in 2025 (see Table 1). Specialized GenAI models are trained or fine-tuned on industry or business process-specific data. The way DSLMs are developed and deployed results in an impact that exceeds the direct spending they generate. Gartner predicts that by 2027, more than half of the GenAI models used by enterprises will be domain-specific (that is, specific to an industry or business function), up from 1% in 2024. 'Foundation GenAI models (including LLMs) are trained on vast amounts of data and used for many different tasks. They are the first models supporting GenAI and will continue to represent the largest area of spending by organizations in the coming years,' said Arunasree Cheparthi, Senior Principal Research Analyst at Gartner. 'However, organizations are also turning to more domain-specific or vertical GenAI models because they offer improved performance, cost, reliability and relevance in targeted enterprise use cases over foundation models.'
