Tech Interviews
Sentinel One Pioneers AI-Powered Cybersecurity Solutions for Modern Enterprises
Exclusive interview with Ezzeldin Hussein, Regional Senior Director Sales Engineering, (META)
How does the SentinelOne Singularity platform streamline cybersecurity operations, and what are the key benefits of using this unified platform?
Since we’ve talked about my journey from data centers, let me share a common question I used to ask CIOs: “How many vendors are you working with for storage? Servers? Networking?” Typically, the answers ranged from one to five vendors. But when I asked about cybersecurity, the answer was often 60 to 120 vendors. This vendor sprawl creates a headache for cybersecurity teams and CISOs. At SentinelOne, our mission has been to address this challenge. Consolidation is now a key trend in cybersecurity. Ask any CISO today, and they’ll tell you their main goal is to downsize from managing 120 vendors to maybe 5 or 10.
The SentinelOne Singularity platform helps achieve this by offering a unified solution. Instead of relying on multiple, disconnected security products, this platform provides all the features and functions needed in one place. It secures endpoints (Windows, Mac, Linux), workloads (in data centers or on multi-cloud environments), identity, data security, and more—all in one platform. What sets the Singularity platform apart is its use of AI. We’ve been leveraging AI since 2013 and have now integrated generative AI, which is critical and highly relevant today.
How does Purple AI enhance threat detection and the efficiency of teams managing complex threats?
The simplest way to explain Purple AI is by asking customers if they use ChatGPT—and the answer is always yes because everyone uses it today. Now imagine giving your security team a tool like ChatGPT, integrated into the platform. With Purple AI, your team doesn’t need to worry about complex queries, syntax errors, or spending hours troubleshooting. Instead, they can use natural language to ask questions like: “Do I have an attack in my environment? Where is it coming from? Which machines are affected? Who is logged in?” The answers are displayed instantly.
Since we’ve integrated generative AI, Purple AI goes beyond simple detection. It guides your security team, speeds up detection, and makes threat-hunting far more efficient. Two key factors are critical for effective threat management: speed and intelligence. Purple AI delivers both. The speed comes from instant access to actionable information, enabling the SOC team to detect, respond to, and mitigate threats quickly. The intelligence comes from analyzing data to detect patterns and behaviors that traditional, manual processes might miss. Purple AI leverages large language models, a robust knowledge base, and global threat intelligence to make this possible.
What challenges have you faced when introducing new products like Purple AI and the Singularity platform to the market?
When you introduce new technology, customers are often skeptical. I always tell them it’s simple: try it. Let’s agree on an objective, create a pilot, and allocate some time and resources. Our team will work with yours to show how Purple AI can fill gaps or address missing elements in your environment. Our focus is on demonstrating ROI. Purple AI isn’t just something to purchase for fun—it delivers tangible benefits. For example, threat-hunting activities that used to take hours now take seconds. This drastically reduces the workload for SOC teams.
One feature SOC teams particularly appreciate is Purple AI’s ability to summarize incidents. After spending time investigating an attack, the team still needs to create a report for the CISO. Many team members struggle with this, especially since writing isn’t their strong suit, and English might not be their first language. With Purple AI, they can generate a clear, well-formatted, 3-page report in seconds. This saves them hours and ensures that critical updates are communicated effectively. This is why we believe the future of cybersecurity lies in generative AI—not just for analysis, but to make sense of results, communicate efficiently, and act quickly.
What trends do you anticipate looking at future of cybersecurity through the lens of AI?
AI is no longer just a fancy tool. Attackers have started using it, and as they evolve, so must we. To defend against AI-based attacks, we absolutely need AI-powered defense mechanisms. The next era of cybersecurity will inevitably become AI versus AI. It’s like a scenario from a movie, but it’s happening now. Attackers are already integrating AI into their methods, making it easier than ever to execute sophisticated attacks. Before, creating malware required highly skilled individuals. Now, with AI tools, it’s accessible to anyone. Here’s the critical difference: attackers only need one single opportunity to breach your environment, while cybersecurity vendors and their customers must work 24/7 to ensure 100% protection. This is where AI becomes crucial—not just as a defense mechanism but as a virtual assistant that works tirelessly to identify and mitigate threats in real time.
In our region, certain cultural and social factors also play into this dynamic. For instance, during Ramadan, people often take time to break their fast. Or think about engaging in leisure activities, like watching a 90-minute football game. Even cybersecurity teams may want to take a break. Attackers, however, recognize these moments of reduced vigilance and are quick to exploit them. AI can bridge these gaps, continuously monitoring and analyzing activity, and promptly alerting us to potential threats, even when human attention is elsewhere.
Zero-trust will also be a major trend in the coming years. More organizations are looking to implement zero-trust frameworks because of the rising prevalence of identity-based attacks and insider threats. Securing identities will become a central focus as businesses work to mitigate risks stemming from compromised credentials or internal vulnerabilities. In summary, these trends reflect how the landscape of cybersecurity is transforming and how AI is playing a pivotal role in ensuring robust defenses in a rapidly evolving threat environment.
Could you share your experience at GITEX and reflect on your journey over 26 years with the event?
I’ve been attending GITEX since 1998. At that time, I was working in a software house and was focused on programming and coding, which I really enjoyed—and still do, if I get the chance. Back then, I developed software for hospital management information systems, covering everything from clinical management to backend functions like inventory, purchasing, and pharmacy. That was where my GITEX journey started.
My first GITEX in 1998 was all about presenting this software to customers. It was a completely different experience compared to today. Back then, there was a “shopper” area where people would sell products, and the exhibition had separate areas for hardware and software. Eventually, they removed the shopper area because it caused too much traffic and chaos. Fast forward to today, and now we have specialized sections like the Cybersecurity Valley, where companies in the same domain are consolidated. This creates a better environment for interacting with customers.
Over time, I shifted from application development to the infrastructure side, specifically data centers. I wanted to ensure that the applications I developed ran on robust infrastructure. That’s what led me to VMware, where I worked on virtualization, cloud, hybrid cloud, and multi-cloud environments as they matured. After addressing infrastructure challenges, I moved into cybersecurity to secure those applications and environments. It’s been a natural progression—starting with creating applications, then managing where they run, and finally focusing on securing them.
Tech Interviews
Digital Sovereignty in Practice: What It Means for Enterprises Today
In our conversation with Ismail Ibrahim, General Manager, CEMEA at SUSE, we seek to understand the concept better along with his understanding of the industry and how enterprises in the UAE and Saudi Arabia can retain control in a rapidly evolving technology landscape.

What does “digital sovereignty” actually mean for an enterprise today, not in theory, but in day-to-day operations?
From an enterprise perspective, digital sovereignty becomes real the moment it changes what you do on a Monday morning. In practice, it means three things become operational requirements, not policy statements.
First, control over data. Not just where data is stored, but where it is processed, who can access it, and how you prove that in an audit. For many organizations in the UAE and Saudi Arabia, that is increasingly tied to sector rules, procurement requirements, and customer expectations.
You need the ability to keep sensitive workloads within national borders when required, but also to enable controlled data flows when innovation demands it. The important point is that sovereignty is not “ringfencing everything”. It is being deliberate about which data, which workloads and which dependencies must remain under your control.
Second, control over operations. Day-to-day, that looks like resilience and predictability: how quickly you can patch, how confidently you can recover, how consistently you can enforce policy across clusters, clouds and edge sites. This is where many enterprises discover that sovereignty is inseparable from operational excellence. If you cannot reliably manage your environments, you do not really control them.
Third, control over technology choices. This is where open source becomes practical, not ideological. When you build on open, enterprise-supported platforms, you are reducing dependency on opaque codebases and constraining the risk of being forced into a single vendor’s roadmap. Sovereignty is “choice by design”, because choice is what allows you to meet local requirements today and change course tomorrow.
That is why at SUSE we often frame sovereignty around pillars like control, choice and resilience, with autonomy as the long-term outcome. For enterprises, those pillars translate into everyday decisions: architecture, procurement, governance, patching, incident response and lifecycle management.
In the next three years, which will hurt enterprises more: security breaches, or being locked into the wrong technology stack?
It is not an either-or, because the two risks are increasingly connected.
A security breach is immediate and visible. It impacts customers, regulators, operations and reputation. But lock-in to the wrong stack can quietly increase breach risk over time, because it limits your ability to respond. If your architecture makes it hard to patch quickly, to segment workloads properly, to implement new controls, or to move sensitive workloads to a compliant environment, you have turned security into a dependency problem.
Over the next three years, I would say the most damaging scenario for many enterprises is not “breach versus lock-in”, but breach plus lock-in, where an organisation is under pressure and finds it cannot adapt fast enough.
This is exactly why sovereignty has moved into the C-suite and boardroom. Leaders are recognizing that digital sovereignty sits alongside cybersecurity and operational resilience as a strategic requirement. You need a risk-based approach to your data, workloads and support model, and you need the flexibility to change course.
Practically, in the UAE and Saudi Arabia, many CIOs are already building mixed environments across on-prem, sovereign cloud, hyperscalers and edge. The goal is not to avoid the cloud. The goal is to avoid a situation where strategic choices are dictated by a single vendor’s constraints. Open, enterprise-grade platforms help you keep the option to move, modernize or localize when needed, without rewriting everything from scratch.
As AI becomes embedded into infrastructure itself, do you believe enterprises are prepared to trust machines with operational decisions, or are we moving faster than governance allows?
In many cases, we are moving faster than governance, but that does not mean enterprises should slow down. It means they should modernize governance at the same pace as adoption.
The key is to separate hype from reality. “Trusting machines” does not mean handing over full autonomy overnight. For most enterprises, AI enters operations in stages.
Stage one is assistive intelligence, where AI helps surface insights, detect anomalies, recommend actions and reduce manual effort. This is where many organizations see quick operational value, especially in areas like observability, incident triage, capacity planning and security monitoring.
Stage two is bounded autonomy, where AI can execute actions within defined guardrails, such as automated scaling, routing, remediation playbooks, or policy-driven security responses. The governance requirement here is clear accountability: what is automated, under what conditions, with what approvals, and what audit trail.
Stage three is agentic operations, where more complex systems handle multi-step tasks across environments. This is the phase where governance must be mature, because the risk is not simply “wrong output”, it is unintended consequences across interconnected systems.
For the UAE and Saudi Arabia, readiness often depends on whether organisations have already done the foundations: standardised platforms, consistent policy enforcement, clean identity and access controls, and modern lifecycle management. If the foundation is fragmented, AI simply accelerates fragmentation.
This is why we are seeing strong interest in approaches that support governance by design, including the ability to run AI solutions in more controlled environments. In many regulated sectors, that includes air-gapped or restricted environments, where organizations want to adopt AI while keeping strict control of data movement and operational boundaries.
My view is that enterprises can absolutely trust AI in operations, but only when they treat trust as an engineering outcome: transparent systems, auditable controls, clear guardrails, and the ability to override. Governance is not a blocker. Governance is what makes adoption sustainable.
By 2030, will enterprises still control their infrastructure choices, or will hyperscalers and AI vendors effectively decide that for them?
Enterprises will control their choices if they design for control now. If they do not, the market will make the decision for them.
By 2030, the default buying motion will push organizations toward managed services, vertically integrated AI stacks, and increasingly opinionated platforms. That can deliver speed, but it can also compress choice, especially if your applications, data pipelines, security controls and operational tooling are tightly coupled to one vendor.
So the question is really about architecture and leverage. Enterprises that prioritise portability, standardization and open platforms will keep leverage. They can choose the right environment for each workload, based on performance, compliance, cost, and risk. Enterprises that ignore portability will find that “choice” exists on paper, but not in practice.
This is where digital sovereignty is often misunderstood. Sovereignty does not mean rejecting global technology. It means retaining the ability to make deliberate decisions about where workloads run and who controls the critical layers. Many leaders now talk about “glocal” strategies: using global innovation while maintaining local control and compliance where it matters.
At SUSE, our positioning has been consistent: open source supports sovereignty because it promotes transparency, portability and freedom from lock-in. That is not a slogan, it is a practical roadmap for keeping infrastructure choices in the hands of enterprises, not vendors.
If you had to offer one piece of advice to CIOs and policymakers in the UAE and Saudi Arabia navigating rapid digital transformation, what would it be?
My one piece of advice is this: treat sovereignty as an enabler of innovation, not a constraint, and build it into your operating model early.
For CIOs, that means starting with a clear map of your critical workloads and dependencies. Decide what must remain under national control, what can run on hyperscalers, what needs sovereign cloud options, and what requires special governance. Then standardize your foundations so you can enforce policy consistently. When sovereignty is engineered into the platform layer, transformation becomes faster, because you are not negotiating compliance from scratch every time you modernize an application.
For policymakers, it means continuing to create frameworks that encourage both innovation and trust. The UAE has taken a pragmatic approach in showing that openness and sovereignty do not have to conflict. When the policy environment supports clear requirements and predictable compliance expectations, enterprises can innovate with confidence.
And for both, there is a shared point: invest in skills and ecosystem capability. Sovereign outcomes are not delivered by policy alone, they are delivered by people, platforms, and partnerships. When you develop local talent, strengthen the partner ecosystem, and support enterprise-grade open source, you build resilience and long-term autonomy without slowing innovation.
Tech Interviews
SCALING PRACTICAL AI FOR RETAIL GROWTH IN THE GCC
Exclusive interview with Mark Turner, President EMEA, Rezolve Ai

What made Shoptalk Luxe Abu Dhabi a priority platform for Rezolve Ai this year?
For Rezolve Ai, Shoptalk Luxe Abu Dhabi brings together the right audience at the right moment. Luxury retailers in the region are no longer exploring ideas, they are making decisions and investing. It is a practical forum to exchange views with brands that are actively shaping their customer engagement and commerce strategies, and to have grounded conversations about what is working in real retail environments. Abu Dhabi also reflects how influential the region has become in global luxury thinking.
How is AI changing the way luxury retailers think about customer engagement today?
Luxury retailers are becoming far more intentional about how and when they engage customers. AI is helping them move away from broad personalisation toward more contextual, timely interactions that respect the brand experience. The focus is on supporting customers at key moments, whether online or in store, and ensuring engagement feels consistent and considered rather than automated or intrusive.
What distinguishes meaningful AI adoption in retail from short-term experimentation?
Retailers that see lasting value from AI are those that embed it into day-to-day operations rather than treating it as a standalone initiative. Meaningful adoption is driven by clear commercial goals, fast implementation, and solutions that work within existing systems and teams. Short-term experimentation tends to stall when it lacks ownership, scale, or a clear link to performance outcomes.
Why is the Middle East, and the UAE in particular, becoming increasingly important for luxury retail innovation?
The Middle East, and the UAE in particular, has created an environment where luxury retail innovation can move quickly. Consumers are digitally confident, infrastructure is strong, and there is a clear push at a national level to adopt advanced technologies. This combination allows retailers to implement and test new models at scale, which is why the region is increasingly influencing global luxury strategies.
Looking ahead, where do you see AI delivering the most value for luxury brands over the next few years?
The greatest value will come from AI that directly supports growth while reinforcing operational discipline. For luxury brands, that means more relevant engagement that improves conversion and loyalty, alongside better forecasting and inventory decisions that protect margins. The priority will be practical use of AI that enhances the customer experience without compromising brand integrity.
Tech Interviews
Sennheiser: Beyond Hardware, Toward Seamless Integration
Exclusive Interview with Fadi Costantine, Sales Manager – Business Communication, Middle East at Sennheiser

Sennheiser has leveraged its role in shaping professional audio to build strong hybrid communication products for use across business and education environments. We caught up with Fadi Costantine, Sales Manager – Business Communication, Middle East at Sennheiser, to discuss the brand’s presence at the show, its integrated product ecosystem, and the growing importance of software-driven audio solutions.
What are your most innovative products currently serving the business and education sectors?
Sennheiser operates across several business units, with Business Communication being one of our most important. This unit is entirely dedicated to the installation market, where many of our most dynamic and innovative solutions are positioned.
Professional audio is at the core of Sennheiser’s brand identity. Through our ownership of renowned brands such as Neumann and Merging Technologies, we have established ourselves as a global leader in audio communications. We leverage this expertise to develop advanced meeting and conferencing solutions that enhance business performance.
Crucially, our products are not designed to operate in isolation. They are engineered to work together as a unified ecosystem, enabling seamless communication across devices and platforms. This ecosystem approach allows system integrators and end users to design complete, end-to-end audio solutions tailored to a wide range of applications and project requirements.
Which industry verticals are currently driving demand for these solutions in the region?
While we are active across multiple verticals in the region, we have a clear strategic commitment to deliver innovative, scalable, and future‑ready audio solutions tailored specifically for the needs of higher education and the modern corporate environment.
In corporate environments, our microphone solutions are widely deployed in meeting rooms to support modern collaboration and video conferencing scenarios. In the education sector, our technologies are extensively used in lecture halls and hybrid learning environments, including classrooms and auditoriums designed to accommodate both in-person and remote participants.
A strong example is our ceiling microphone solutions. These are frequently used not only in traditional meeting rooms but also in lecture halls for audio capture, video conferencing, and recording. They are also ideal for voice-lift applications, enabling students to hear the lecturer clearly without the need for wearable microphones. This creates a more natural, seamless teaching experience while minimizing complexity for the user.
Software and integration are critical in these environments. How does Sennheiser support this alongside its hardware solutions?
Workflow optimization has always been central to our product strategy and will remain a key focus going forward.
Introducing a new era in AV Management, at ISE 2026, Sennheiser will officially launch DeviceHub, a secure, cloud-based platform designed for IT and AV managers, as well as system integrators. DeviceHub centralizes device visibility and remote management, streamlining workflows across enterprise, education, and corporate settings.
DeviceHub provides real-time insights, simplified setup, and unified control, supporting organizations in creating better spaces for communication, learning, and teamwork. Following a successful private beta, ISE marks the transition to public availability. Visitors can explore DeviceHub’s capabilities and speak directly with product experts about how it can transform their AV and IT operations.
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