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ICT CHAMPION AWARDS 2026: FIELD NOTES — FROM HYPE TO HABIT 

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Award winners and industry leaders stand on stage at Integrator Media – the ICT Champion Awards 2026 in Dubai, holding trophies beneath the ICT Champion Awards backdrop.

By Subrato Basu, Global Managing Partner, The Executive Board with Srijith KN Senior Editor, Integrator Media. 

On 28 January 2026, Integrator Media hosted the 18th edition of the ICT Champion Awards at the Shangri–La Dubai Hotel, bringing together the region’s ICT ecosystem for an evening designed to celebrate milestones, recognise innovation, acknowledge ecosystem leaders, and foster community.  

The programme—aligned with INTERSEC 2026—spotlighted organisations making measurable impact across enterprise solutions, critical infrastructure, cybersecurity, and public-sector technology.  

By 7pm, the Shangri-La Dubai’s Al Nojoom Ballroom had the feel of a ‘state of the union’ for regional ICT—CXOs, partners, and platform leaders in one room, with AI dominating every board agenda. This wasn’t just an awards evening; it was a moment to take stock: are we still experimenting with AI, or are we ready to operationalise it at scale? 

Across conversations at tables and in the corridors, the same theme surfaced: experimentation is easy—operational confidence is the hard part. 

Opening keynote: “Is AI ready for us in the UAE—and what next?” 

The evening’s tone was set by Mr. Maged Fahmy, Vice President, Ellucian MEA, who opened with a deliberately provocative question: Is AI ready for us in the UAE? What made the question stick wasn’t the technology—it was the implication that leadership models are now the constraint. 

His message wasn’t framed as a technology debate—it was framed as a leadership test. 

As a leader in enterprise technology for education and public-sector institutions—where trust, governance, and outcomes are non-negotiable—Fahmy’s ‘hype to habit’ message landed with particular weight. 

His argument was simple: the UAE is past AI curiosity. The next phase is habit—repeatable, governed AI embedded in day-to-day work. The real question is no longer ‘Can we do a PoC?’ but ‘Can we run this reliably, measure it, and scale it?’ 

We’re moving from Generative AI (creating content) to Agentic AI (executing work). That shift changes leadership: fewer people doing repeatable steps, more orchestration of workflows across systems—with humans focused on judgement, risk, and exceptions. 

For example, an agent can triage a service request, propose the fix, route it for approval, execute the change, and only escalate the ‘weird 3%’ to a human owner. 

Leadership reality check: are we still leading like it’s 2022? 

He also offered a leadership reality check: if your operating rhythm still assumes long cycles, manual coordination, and slow approvals, you’ll struggle in 2026. Strategy can’t be an annual exercise; it must become a live set of decisions, guardrails, and feedback loops. 

AI gives the “how”; humans must own the “why” 

His framing landed: AI increasingly gives you the how—options, sequencing, automation. But leaders must own the why—purpose, priorities, ethics, and accountability. In an agentic era, that ‘why’ is what keeps speed from becoming risk. 

He also anchored AI’s value in a more human currency: time. Yes, AI drives efficiency. But the real prize is what leaders do with the time they get back: better customer interactions, faster decision-making, more innovation, and more space for creative work that machines cannot replicate. 

Talent gaps, transformation, and “sovereign AI” 

The keynote did not gloss over constraints. Fahmy flagged the talent gap that emerges when adoption rises faster than capability—especially in AI engineering, cybersecurity, governance, and change leadership. His call was practical: the future workforce isn’t only “AI builders,” but AI challengers—people who can validate outputs, pressure-test recommendations, and govern autonomous workflows. 

He also introduced the importance of sovereign AI in the GCC context—where nations like the UAE and Saudi Arabia are thinking deeply about data residency, cultural alignment, regulatory control, and strategic autonomy. The point wasn’t simply “host it locally,” but to build AI that is trustworthy in local context: aligned to language, norms, governance expectations, and national priorities. 

In practical terms, sovereign AI means keeping sensitive data and model control within national boundaries, enforcing local governance and auditability, and ensuring outputs reflect language, culture, and regulatory expectations. 

Strategy ownership, authority, and misinformation 

In 2026, he argued, leaders must be explicit about who owns strategy when decisions are increasingly shaped by AI systems. If an agent can recommend, negotiate, or trigger actions at speed, the organisation needs clarity on authority: approval thresholds, auditability, escalation paths, and responsibility when something goes wrong. 

He also linked AI strategy directly to misinformation risk—not as a social media issue alone, but as an enterprise challenge: hallucinations, deepfakes, synthetic fraud, manipulated signals, and decision contamination. The answer, he implied, is not fear—it’s governed adoption: controls, verification, identity assurance, and clear human accountability. 

He closed with a grounded reminder that landed strongly with the awards theme: the winners in 2026 won’t be defined by the “fastest AI,” but by the clearest purpose—and by the culture they’ve built to sustain transformation. 

Panel discussion: “Seamless Intelligence” — when AI becomes invisible (and unavoidable) 

The panel discussion, moderated by Srijith KN (Senior Editor, Integrator Media), brought the theme down from keynote altitude into product and platform reality. The session, titled “Seamless Intelligence: How AI and Dataare Powering the Next Generation of Intelligent Experiences,” featured: 

  • Mr. Rishi Kishor Gupta, Regional Director (Middle East & Africa), Nothing Technology 
  • Ms. Bushra Nasr, Global Cybersecurity Marketing Manager, Lenovo 
  • Mr. Nikhil Nair, Head of Sales (Middle East, Turkey & Africa), HTC 
  • Ms. Aarti Ajay, Regional Lead Partnerships (Ecosystem Strategy & Growth), Intel Corp 

One way to read the panel: infrastructure decides what’s possible, security decides what’s safe, and experience decides what gets adopted. 

The discussion converged on one powerful idea: in the next phase, the user shouldn’t “see” the intelligence—it should dissolve into the experience. The ambition is not “AI features,” but AI-native interactions that feel natural, predictive, and frictionless across devices and contexts. 

Infrastructure: where does intelligence actually run? 

From the infrastructure angle, the panel stressed that “AI everywhere” requires deliberate choices about where compute happens—on device, at the edge, or in the cloud—and how workloads move across that spectrum. This included clear emphasis on the hardware stack (CPU/GPU/NPU) and what it takes to scale AI responsibly. 

“AI won’t scale on slogans; it scales on architecture—device, edge, and cloud—each with different cost, latency, and security trade-offs.” 

Trust: security, fear factor, and the “moving data center” 

From the trust perspective, the panel highlighted the growing “fear factor” around devices and autonomy: more sensors, more data, more models—more attack surface. A memorable analogy landed well: the modern connected vehicle increasingly behaves like a moving data center, raising the bar on governance, identity, and resilience. 

“Every new AI capability is also a new attack surface—security has to be designed in, not bolted on.” 

Human experience: AI as an experience, not a tool 

On the human side, the conversation explored how AI will increasingly show up as experience—wearables, ambient assistance, multi-sensory support, and interactions that augment how people see, decide, and act. The subtext was clear: if AI is going to become ubiquitous, it must become intuitive—and aligned to what humans actually value. 

“AI is becoming an experience, not an app—supporting how we see, decide, and act, often without the user noticing the machinery behind it.” 

Consumer reality: “make human life smarter” and “declutter your life” 

From the consumer device lens, the message was refreshingly plain: AI should help make human life smarter—not noisier. That includes automation that reduces cognitive load and helps people “declutter” their day-to-day, rather than introducing another layer of complexity. 

The moderator wrapped the session with a sober economic note: as the stack expands from devices to cloud subscriptions and services, the cost of modern digital life rises—making it even more important that AI delivers tangible value, not just novelty. 

“If AI doesn’t declutter your life, it’s not helping.” 

Executive Board Commentary: The real shift is “delegation”—not adoption 

If there was one undercurrent in the room, it’s that we’ve moved past the question of whether AI is “interesting.” The real question now is: what can we delegate—safely, repeatedly, and at scale—without degrading trust? That’s why the keynote’s emphasis on moving beyond PoCs into governed, repeatable operating models felt so relevant.  

This is the step-change many organisations underestimate: adoption is a technology story; delegation is an operating model story. In an agentic era—where systems don’t just generate answers but initiate actions—the enterprise doesn’t need more demos. It needs a way to decide: what tasks can be automated end-to-end, what must stay human-led, and what requires a hybrid “human-in-the-loop” pattern?  

A useful lens: the “Delegation Curve” 

Think of your AI journey as a curve with three stages: 

  1. Assist (copilot) – AI helps humans do the work faster (drafting, summarising, analysing). 
  2. Act (agentic) – AI executes steps across workflows (triage → route → approve → action), escalating exceptions.  
  3. Assure (governed autonomy) – AI operates with clear authority limits, auditability, and continuous controls (especially critical in regulated sectors and national infrastructure contexts).  

Most enterprises are still celebrating Stage 1, experimenting in Stage 2, and under-investing in Stage 3. Yet Stage 3 is where operational confidence is built—and where reputational risk is avoided. 

The missing KPI: “Trust latency” 

The panel made it clear that infrastructure, security, and experience all shape whether “seamless intelligence” is adopted in the real world.  

But the deeper measurement leaders should add is trust latency: how long it takes an organisation to trust an AI outcome enough to act on it without manual re-checking. 

In practical terms, the most important AI metrics in 2026 won’t be model accuracy in isolation. They’ll look like: 

  • Time-to-trust (how quickly decisions can be taken without repeated human verification) 
  • Exception rate (the “weird 3%” humans must handle)  
  • Containment rate (how often an agent resolves end-to-end without escalation) 
  • Governance velocity (how quickly policy, approvals, and controls keep up with agent speed) 

This is where leadership becomes the constraint—or the advantage. 

Sovereign AI isn’t just residency; it’s “accountability at the boundary” 

The keynote’s introduction of sovereign AI resonates strongly in the GCC because the stakes aren’t only technical. They are cultural, regulatory, and strategic.  

The next phase of sovereign AI will be defined not by where data sits, but by where accountability sits—who can inspect, audit, override, and certify AI behaviour, especially when agents trigger actions across systems. 

Sovereign AI done well will become a competitive advantage: it makes cross-sector adoption easier because it offers confidence by design—clear boundaries, policy alignment, and traceability. 

The “AI dividend” test: what are you doing with the time you saved? 

A subtle but powerful keynote point was that AI’s real asset is time.  

The leadership question is what you do with it. In organisations that win, the reclaimed time becomes: better customer experience, sharper decision-making, faster innovation cycles—and more human attention where it matters. 

In organisations that struggle, that time gets lost to rework, re-checking, and governance friction—because trust was never engineered into the operating model. 

The new perspective to carry forward 

At ICT Champion Awards, the celebration of winners implicitly reinforced the real benchmark for 2026: repeatability. Not “who has the flashiest AI,” but who can run it reliably with trust, governance, and measurable outcomes.  

So perhaps the most useful question to take forward is this: 

What are the first 3 workflows in your organisation that you are willing to delegate to agentic AI—end-to-end—under clearly defined authority, auditability, and exception handling? 

That’s also what the ICT Champion Awards ultimately celebrated: not technology theatre, but execution maturity. The winners weren’t simply early adopters—they were organisations demonstrating innovation with outcomes, leadership with accountability, and scale with governance. In a year defined by agentic possibilities, the Awards served as a reminder that the real competitive edge is operational confidence—systems that work, controls that hold, and teams that can sustain change. Hype is easy; habit is earned. 

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The Human Decisions That Determine Cyber Recovery

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By Sourav Guha Roy, Practice Head – Cyber Academy, CPX

Prevention remains essential to cybersecurity, but it is no longer enough on its own. As AI-enabled threats become increasingly complex, convincing and harder to detect, a new question is gaining prominence in boardrooms across the region: if an attack succeeds, how quickly can the business recover? How effectively can teams recognize a threat, leaders make critical decisions under pressure and coordinate a response before disruption escalates?

Sourav Guha Roy, Cyber Academy, CPX

For business leaders, the focus is shifting from simply keeping attackers out to containing damage, restoring critical services and maintaining business continuity. Building this capability requires more than technology safeguards. It means preparing people, establishing clear processes and ensuring teams can act decisively under pressure.

Recovery readiness: From prevention to preparation

Cyber readiness is often measured by what an organization puts in place before an incident: clear responsibilities, tested response plans and technology that supports detection and decision-making. But when an attack succeeds, the real measure of preparedness is how effectively are the people able to use these capabilities to limit disruption and restore critical services.

Cyber resilience extends beyond the initial response. It is an organization’s ability to adapt to disruption, maintain essential functions and recover while managing the wider impact on customers, employees and business performance. The speed and effectiveness of that recovery depend on more than the tools available. People must interpret alerts, assess business impact and make decisions that enable the organization to move forward.

This distinction has important implications for leadership. Preventing every incident may not be realistic, but organizations can prepare for the moments when prevention fails. The priority is to ensure that response plans work in practice, responsibilities are understood and teams can make coordinated decisions under pressure.

Three connected pillars of cyber readiness

A human-centric approach does not reduce the importance of technology. Instead, it aligns three interdependent pillars: people, process and technology.

  • People provide context, judgment and ethical oversight. They need the confidence to pause when an instruction appears unusual, verify a request through a trusted channel and report concerns without delay. In an environment shaped by AI-generated impersonation, these behaviors are increasingly important.
  • Process turns individual awareness into a coordinated response. Clear escalation routes, decision authority and defined ways of working help employees and specialist teams understand what happens after a concern is raised. Processes should also clarify the responsible use of AI, including which tools are approved, what information may be shared and how AI-related risks should be reported.
  • Technology protects systems and supports human decisions by detecting suspicious activity, controlling access and monitoring how AI and organizational data are used. Yet an alert is only an indication that something requires attention. Without context, ownership and action, it does not create readiness or guarantee a timely recovery.

Consider a finance employee who receives an urgent payment instruction that appears to come from a familiar executive. Technology may flag unusual activity, process determines how the request is verified and escalated, and people apply judgment and involve the right decision-makers.

From the frontline to the boardroom

Cyber readiness should reflect the decisions expected of each role. Employees must recognize and report warning signs. Specialists must assess the impact, coordinate the response and restore operations securely. Leaders must make informed decisions when facts are incomplete, balancing security, continuity and accountability.

Readiness depends on the handoffs between these groups: employees need clear reporting routes, specialists need the authority and information to act, and leaders need timely insight into business impact.

Build capability through a continuous cycle

Human-centric readiness is not achieved through a one-time awareness campaign. A practical model is to Assess, Train and Simulate continuously.

Do employees verify unusual requests? Can specialist teams build a shared view of impact? Do leaders know when to intervene? Can critical services be restored within acceptable timeframes? The findings should feed back into the next assessment and improvement cycle.

Conclusion: Make recovery a business priority

No organization can guarantee that every cyberattack will be prevented. But every organization can decide how prepared it will be when one occurs. That means moving beyond prevention metrics to test how effectively teams contain incidents, protect critical services and restore operations.

The most important shift is to stop treating people as the weakest link and start preparing them as an active part of the defense. This does not mean turning every employee into a cybersecurity expert. It means ensuring that each person knows what to recognize, how to respond and when to escalate.

The strongest organizations will not be those that eliminate every human error. They will be those that give people the judgment, processes and support to prevent a single mistake from becoming a business crisis.

For boards and executive teams, the call to action is clear: ask not only how likely an attack is, but how long the business could operate under disruption. Cyber resilience is ultimately measured not by the absence of incidents, but by the ability to withstand them and recover. The organizations best positioned for the future will be those that make recovery readiness a business priority before the next attack begins.

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Megarme on safer inspections and smarter asset maintenance in the GCC

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Exclusive interview with Diego Parra, Managing Partner, Megarme

How are oil and gas companies in the GCC changing the way they inspect and maintain their equipment and infrastructure?

We see a stronger emphasis on equipment condition and the consequences of failure when operators plan inspection. Scheduled inspections remain important, alongside operating history, service conditions and the role each asset plays in the operation.

Two similar pieces of equipment may need different inspection plans because their service conditions, exposure or importance to the operation are different. A critical process line, for example, may require a different approach from a low-consequence utility line. The inspection method, coverage and timing should reflect those differences while meeting the applicable requirements.

Inspection history and equipment monitoring can help maintenance teams identify changes early enough to investigate and plan work. This is particularly useful offshore or where access depends on a shutdown, because arranging people, equipment and materials can take time.

At Megarme, we support this approach by providing condition information from the locations included in the inspection scope. Our findings help the operator and its engineering team decide what needs attention, what requires further assessment and what can be included in a planned maintenance campaign. We aim to make the findings clear enough to support those decisions.

What are the biggest challenges companies face when inspecting and maintaining offshore and onshore facilities, and how does Megarme help address them?

A practical challenge is obtaining a reliable assessment while working within the facility’s operating constraints. Access, process safety and inspection quality have to be planned together. The easiest location to reach may not be the one most likely to deteriorate.

Offshore, marine corrosion and possible fatigue at connections subject to repeated loading need attention. Weather windows, restricted deck space and transport arrangements also affect the work. Under-deck steelwork, derricks and flare structures can be demanding, particularly when inspection must be coordinated with lifting or other activities nearby.

Onshore, congested pipe racks, hot surfaces and operating process systems can restrict access. Isolation requirements and shutdown schedules often determine when work is possible. Entry into tanks or vessels introduces additional atmospheric and rescue considerations.

We help by planning the access and technical work together. An under-deck survey may require surface preparation, thickness measurements and weld examination before the engineering team can assess the findings and approve repairs. Identifying these dependencies early helps the operator prepare the work.

Our reports need to make inspection coverage and limitations clear. Work during operation is considered only where the process conditions, risk assessment, permits and required isolations allow it.

How does rope access help Megarme carry out inspection and maintenance work in hard-to-reach areas safely and efficiently?

Rope access allows us to position a qualified technician directly at the work location, including beneath a jetty, beside an elevated pipe support or at a derrick connection. For localised inspection and repair, it can reduce the access structures, material handling and space required.

We are an IRATA Operator and Trainer member. The normal rope access arrangement uses two independently anchored lines: a working line and a safety line. An IRATA Level 3 supervisor oversees the rope access safety arrangements, including equipment checks, rope protection, communication and a rescue plan suited to the location. Team size must support both the task and a potential rescue.

Our technicians also need the qualifications and authorisations for the work being performed. Rope access competence is separate from competence in NDT, welding or coating inspection. An ultrasonic examination carried out on ropes must meet the applicable inspection requirements, including calibration, surface preparation, probe positioning and coverage.

We select the access method around the task, duration, equipment loads and rescue requirements. Depending on the work, that may involve rope access alone or a combination of access arrangements. The practical benefit is being able to reach the required locations with a method suited to the inspection or repair.

How does Megarme use non-destructive testing (NDT) to identify corrosion, cracks and other damage before they become serious problems?

We use NDT to assess remaining wall thickness and look for indications of cracking or other damage. We select the method to suit the material, expected deterioration and inspection requirements.

For pipework corrosion, ultrasonic measurements establish wall thickness at the inspected locations. If we find an unusually low reading, we verify it, promptly raise any critical concern and extend the examination as required to establish the extent of the thinning. Corrosion mapping can provide more detailed coverage where localised attack is suspected. The lowest measured thickness and size of the affected area matter, because an average can conceal a severely thinned location.

Magnetic particle testing can reveal surface and near-surface discontinuities in ferromagnetic materials, such as carbon steel. Penetrant testing can reveal discontinuities open to the surface in suitable nonporous materials. Ultrasonic testing, including phased array, and radiography can be used to examine welds for internal discontinuities. Selection depends on the expected damage, component geometry and applicable requirements; each method has limitations.

We record the component, examination location, coverage, measurements and relevant images or scan data. The findings support the responsible engineer’s decision on further assessment, monitoring or repair. Repaired welds are re-examined as required by the applicable procedure and acceptance criteria. Qualified personnel, suitable procedures and prompt reporting are essential to making the results useful.

How do extreme heat, humidity and salt exposure in the Gulf affect industrial equipment, and what can companies do to protect their assets?

In the UAE and Saudi Arabia, asset protection has to reflect the location. Offshore and coastal facilities face salt exposure and periods of high humidity alongside heat. Further inland, heat and dust become more prominent considerations. The protection system must suit both the local exposure and the equipment’s operating conditions.

We pay particular attention to pipe supports, bolted connections, undersides of structures and insulated pipework. Corrosion can develop in a small, critical area while the wider structure appears acceptable. Moisture entering through damaged insulation cladding can remain against the steel, making targeted inspection and repairs to water-entry points important.

Coating performance depends on preparation and application. Salt, dust and other contamination must be controlled to the specified cleanliness limits, with the required surface preparation and coating thickness verified. Steel temperatures in summer can exceed a product’s application limits. Cooler hours still require checks for humidity and condensation. Some specifications require the steel to remain at least 3°C above the dew point, alongside the product’s other temperature and humidity limits.

Our inspection, surface preparation, coating and repair work can help address deterioration and its causes. Metal loss needs assessment and, where required, an approved repair before protection is reinstated. Leaving a water trap or damaged insulation seal in place can expose the asset to the same problem again.

How does Megarme help oil and gas operators extend the life of their assets while maintaining safety standards?

We support asset life extension by gathering inspection evidence and carrying out approved maintenance or repairs. The starting point is understanding the condition of the equipment, the extent of any damage and its significance for continued operation.

For pipework, thickness measurements and corrosion mapping provide information for assessing metal loss. Our access capability helps reach components that would otherwise be difficult to examine or replace. The inspection scope needs to reflect the expected damage and provide the information required for the engineering assessment.

Our maintenance and repair scope can include surface preparation, coating, work on columns and piping, structural welding and composite repairs, where appropriate to the assessed condition and approved scope. Composite repairs require an engineered design approved for the specific damage and service conditions, controlled installation and the required inspection and verification. Completed work needs the specified quality records before acceptance.

Life extension also requires a plan beyond the immediate intervention. The operator needs to know what should be monitored, when further inspection is required and which operating limits apply. We contribute inspection data and execution capability. The responsible operator and engineering authority determine fitness for continued service and approve any extension of operating life.

What steps does Megarme take to protect workers when carrying out inspection and maintenance work in challenging environments?

We plan our work around a task risk assessment, competent supervision, personnel fit for the assigned work and the facility’s permit requirements. The controls must be confirmed at the worksite, and any change in scope or conditions requires reassessment.

At operating facilities, this includes verified energy isolation, atmospheric testing and monitoring as required, and controls for hazards such as hydrogen sulphide or flammable atmospheres. We seek to avoid confined-space entry where a suitable alternative exists. Where entry is necessary, the arrangements must address unsafe oxygen levels and other identified hazards, with suitable ventilation, communication and a rescue plan specific to that space.

At height, we consider the people below as well as the technicians. Tools need suitable retention and checked attachment points, with exclusion zones appropriate to the task. Heavy equipment requires its own handling and securing arrangements. Accounting for tools when work is complete helps prevent a later dropped-object hazard.

Our heat management arrangements need to reflect the site conditions, workload and protective clothing. The assessment guides acclimatisation, work and rest arrangements, hydration and access to shaded or cooled recovery areas.

We expect personnel to stop work when conditions are unsafe. Supervisors must respond to fatigue, changing weather and any condition that compromises the controls or rescue arrangements.

How are new technologies changing the way oil and gas companies inspect equipment and plan maintenance?

Technology can improve inspection coverage and the speed at which information reaches maintenance teams. Across the industry, drones can support visual surveys, robots can carry sensors across suitable surfaces, and permanent monitoring can identify changes between periodic inspections. Their suitability depends on the asset and the information required.

Encoded ultrasonic scanning is a practical example. It links measurements to their positions, allowing wall loss to be mapped and compared with later examinations when the scan locations and measurement conditions are comparable. Digital records can connect those results with the asset reference, earlier findings and repair history.

We assess a technology by the information it provides and the decision it supports. A visual image may identify an area for closer examination. Confirming wall loss or characterising a defect requires a method suited to that task. AI tools can assist with screening where their performance has been validated for the intended use, with qualified personnel reviewing the results.

Our priority is to select methods that suit the component and expected damage, and to produce clear, traceable records. We use inspection findings to plan any further examination and support the engineering assessment and approval of required repairs.

How can companies reduce maintenance costs and downtime without compromising safety or equipment reliability?

Better preparation and fewer repeat interventions can help control maintenance costs and downtime. The cost of a task includes access, mobilisation, materials, permits, isolation, production disruption and verification. These need to be considered together when comparing ways to execute the work.

Before a shutdown, available inspection findings should be used to define repair scopes, prepare materials and spare parts, agree procedures and secure the necessary personnel. Operations, engineering and maintenance teams need to resolve dependencies early. Discovering that a repair needs additional materials or approval after equipment has been shut down can put the programme under pressure.

We help by coordinating compatible activities within an access campaign. Elevated steelwork, for example, may need condition assessment, NDT, a dropped-object survey and authorised coating repairs. When safely sequenced, these activities can share access arrangements and reduce repeat mobilisation. Required approvals and inspection hold points still apply.

Prompt decisions on findings and investigation of recurring defects also help prevent delay and rework. Useful performance measures include total maintenance cost, unplanned downtime, repeat failures and closure of critical findings. Any cost-reduction plan must preserve required inspections and the maintenance and testing of safety-critical equipment.

What are the main inspection, maintenance and safety challenges you expect the GCC oil and gas industry to face over the next few years, and how is Megarme preparing for them?

We expect an important challenge to be balancing maintenance of operating assets with inspection needs during construction and commissioning. When shutdowns and project activities overlap, there can be pressure on the availability of experienced personnel and technical supervision.

Advanced NDT technicians, welding and coating inspectors, and rope access supervisors need the competence and approvals for each assignment. Our preparation includes attention to training, personnel allocation and the technical support available to site teams. Resources need to match the work being accepted.

The quality of records handed over from construction to operations is another priority. Traceable weld records, baseline thickness measurements and coating inspection results give maintenance teams a useful starting point. Consistent component identification helps later inspection results be compared with the correct earlier records.

For existing facilities, corrosion in difficult-to-access areas and beneath insulation will continue to require attention. On safety, overlapping inspection, lifting and hot work need careful coordination. Heat exposure and fatigue also need to be reflected in staffing and schedules.

We are focusing on consistent technical review, equipment readiness and clear reporting across our regional operations. Our aim is to keep the standard of execution consistent as workloads change, with appropriate supervision and follow-up on significant findings.

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SANS Institute Strengthens Regional Cyber Readiness with AI-Focused Training at SANS Gulf Region 2026

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SANS Institute, a global leader in cybersecurity training and certifications, has announced the 2026 edition of SANS Gulf Region. The event every year brings together cybersecurity professionals for an extensive program of hands-on training designed to address the Middle East’s threat landscape. Taking place from October 31 to November 26, 2026, at the Hilton Dubai Jumeirah Beach Resort, the event will feature 13 specialized courses and two NetWars tournaments. The program will cover key areas such as AI security, advanced threat detection, industrial control systems security and cyber resilience.

Ned Baltagi, Managing Director, Middle East, Turkey and Africa at SANS Institute


As Middle East enterprises advance digital transformation and adopt more AI-driven technologies, cybersecurity investment continues to grow. According to Mordor Intelligence, the regional cybersecurity market is estimated to reach USD 23.54 billion in 2026, growing at a CAGR of 14.55% through 2031. However, there are still challenges in developing the expertise needed to secure complex digital environments. PwC’s 2026 Global Digital Trust Insights: Middle East findings reveals that 53% of regional respondents identified lack of knowledge in applying AI to cyber defense as a major hurdle, highlighting the need for specialized cybersecurity training to keep pace with technological advancements.

As AI is integrated into business processes, cybersecurity expertise should go beyond traditional threat detection and response to securing AI systems themselves. For going through this shift, SANS Institute has developed the AI Security Maturity Model – Gulf Region. The framework provides a structured approach to evaluating AI security readiness, identifying gaps and prioritizing improvements across AI protection, utilization and governance. It offers a clearer path towards building stronger, more mature AI security practices, while reinforcing the need for continuous, hands-on training.


“The Middle East has seen remarkable progress in digital transformation, but the pace of adopting technologies must be matched by an equally strong investment in cybersecurity capabilities,” says Ned Baltagi, Managing Director, Middle East, Turkey and Africa at SANS Institute. “As businesses incorporate AI and interconnected systems, the challenge is ensuring that they have the specialized skills and practical experience to manage the risks that come with it. This calls for a shift from reactive skills development to continuous, forward-looking training that anticipates how threats and technologies are evolving. With SANS Gulf Region 2026, we are putting this approach into practice, focusing on the skills and real-world challenges that matter most to companies across the region.”


This year’s curriculum covers five key areas, including Cyber Defense, Offensive Operations, Industrial Control Systems, Cloud and AI Security, and Leadership. The program introduces SEC545: GenAI and LLM Application Security, a new course focused on securing generative AI applications and large language models. Also, there are major updates to LDR519: Cybersecurity Governance, Risk, and Compliance. Six courses are focusing on AI, reflecting the growing importance of understanding and managing AI-related cybersecurity risks.


Other key training areas include network monitoring and threat detection, enterprise penetration testing, security automation for red, blue and purple teams, ICS/SCADA protection, and defensible security architecture built around Zero Trust principles. Together, these courses address a broad range of technical and strategic requirements, helping to strengthen capabilities across both traditional and new cybersecurity domains.


Complementing the training program, the event will feature two NetWars Core tournaments, giving participants an interactive environment to apply their skills to simulated cybersecurity challenges. This year’s AI-forward scenarios will explore areas like prompt injection, malware reverse engineering, MFA bypass, web application security and IoT vulnerabilities. Set within a fictional organization facing compromised systems and vulnerable AI models, attendees should investigate and respond to interconnected security threats.


The event will also host a series of evening community talks. Sessions will explore cybersecurity leadership, the role of AI in learning, and modern influence operations, with contributions from SANS experts including Mark Williams and Jeff McJunkin. The courses will be available in person and through online live sessions.


Through SANS Gulf Region 2026, SANS Institute continues its commitment to strengthening cybersecurity capabilities across the region, supporting businesses in developing the technical expertise, leadership skills and practical readiness needed to protect complex digital environments.

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