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ASUS Techsphere Forum: Empowering Business Leaders Through Next-Gen Hardware Innovation

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ASUS Techsphere Forum - Group Photo
  • By: Subrato Basu, Managing Partner, Executive Board &
  • Srijith KN, Senior Editor, Integator Media


The line on the opening slide— “Every company will be an AI company”—wasn’t tossed out as a provocation. At the ASUS Techsphere Forum 2025 in Dubai, it landed as an operating instruction. The message across keynotes, the Intel segment, and two candid panels was strikingly consistent: AI stops being theatre the moment you standardize three things—the workspace (where people actually work), the runtime (so models are portable), and the portfolio (so you manage dozens of use cases like a product backlog, not a parade of proofs-of-concept).

A quick reality check on market size so we’re not drinking our own Kool-Aid: the global AI market in 2025 is roughly $300–$400B, depending on scope (software vs. software + services + hardware). Reasonable consensus ranges put 2030 at ~$0.8–$1.6T. In other words, still early—but already too big to treat as a side project.

A wide-angle shot of the ASUS Techsphere Forum

ASUS: PUT AI ON THE ENDPOINT—AND MAKE IT GOVERNABLE

ASUS’s enterprise stance is disarmingly practical. As Mohit Bector, Commercial Head (UAE & GCC) at ASUS Business, framed it, the fastest way to make AI useful is to put it where the work happens (the endpoint) and to make it governable. Concretely, that means:

  • NPUs for on-device inference (privacy, latency, battery life).
  • Manageability (fleet policy, remote control, security posture you can actually audit).
  • Longevity (multi-year BIOS/driver support) so IT can set an AI-ready baseline and keep it stable.

ASUS thinks about the modern workplace as an Enter → Analyse → Decide loop, this is where the workday actually speeds up—quietly, relentlessly, at the endpoint:

  • Enter: the device captures signals—voice, docs, screens, forms, sensors.
  • Analyse: retrieval-augmented reasoning + analytics produce options, risks, and rationales.
  • Decide: humans choose; agents act—raise tickets, update ERP/CRM—with audit trails.

It isn’t about one blockbuster use case. It’s about standardizing the canvas, so small wins compound every week.

ASUS Techsphere Forum 2025 - Panel 1
Panel 1 – From Data to Decisions: Leveraging AI Across Industries

INTEL: FROM SLOGAN TO STACK (AND WHY THE AI PC MATTERS)

Intel’s deck made the “every company will be an AI company” claim implementable. Four slide-level words—Open, Innovative, Efficient, Secure—double as a buyer checklist:

  • Open: less cost, no lock-in. The same models should move across CPU/GPU/NPU and PC → Edge → Datacentre/Cloud without rewrites.
  • Innovation: treat AI PCs with NPUs, edge systems, and cloud clusters as one continuum.
  • Efficient: lead on performance per dollar and per watt; energy and cost are first-class design goals.
  • Secure: your data and your models are IP; run locally when you should, govern tightly when you don’t.

A “Power of Intel Inside” platform slide stitched this together:

  • AI software & services: OpenVINO as the portability layer to convert/optimize/run models across heterogeneous silicon.
  • AI PC: always-on, private inference for day-to-day assistants.
  • Edge AI: near-machine intelligence for vision and time-series use cases.
  • Datacentre & cloud AI: scale-out training/heavy inference (fraud graphs, multimodal analytics, enterprise RAG).
  • AI networking: the fabric that keeps it all moving—securely.

Why the fuss about the AI PC? Because it’s the next enterprise inflection after Windows and Wi-Fi. Slides mapped tangible outcomes:

  • Productivity: faster info-find, auto-drafts, note-taking.
  • Communication: translation, live captioning, dictation, transcription.
  • Collaboration: smart framing, background removal, eye tracking, noise suppression—without pegging the CPU.
  • IT operations: endpoint anomaly detection, VDI super-resolution, remote screen/data removal.
  • Security: client-side deepfake detection, anti-phishing, ransomware flags.

Under the hood, Intel’s definition is a division of labour: CPU for responsiveness and orchestration, GPU for high-throughput math/creation, NPU for low-power sustained inference—the always-on stuff that makes assistants truly useful. Add vPro + Core Ultra and you get the fleet controls and long-term stability IT actually needs.

One more practical bit I liked: Intel AI Assistant Builder—a portal to stand up local assistants/agents (with RAG) that can run on the PC fleet first, shrinking time-to-value from months to days/weeks and letting you prove the full E-A-D loop before you scale heavier jobs to edge/cloud.

When the “100M AI PCs by 2026” slide hit the screen, heads tilted from curiosity to calculation. The figures—bullish vendor projections (~100M by 2026; ~80% AI-capable by 2028)—invite a haircut, but the signal is unmistakable: endpoint AI is becoming the default.

ASUS Techsphere Forum 2025 - Panel 2
Panel 2 – AI-Powered Workspaces and the Future of Work

WHAT THE PANELLISTS REALLY TAUGHT US

RAKEZ (Free Trade Zone)

Posture: Execution-first. Make AI practical on the shop floor and trustworthy in the back office—governed from day one.

What they drive:

  • Diagnostics (OEE baselines, defect maps) + data-readiness scans (MES/ERP) so pilots don’t stall.
  • Reference lines/sandboxes where vendors prove accuracy, safety, throughput before purchase.
  • Template playbooks: CV-QC, predictive maintenance, warehouse vision, invoice extraction/3-way match—each with SOPs, KPIs, integration steps.
  • Curated vendors + shared services (labelling, model hosting/monitoring, SOC for AI) to reduce MSME cost/complexity.

MSMEs: “Bookkeeping-in-a-box” to clean ledgers and free cash; pre-negotiated PoC packs (fixed price/timeline, acceptance metrics); compliance starter kit (consent, retention, safety, escalation).

Enterprises: Multi-site rollout playbooks, edge + cloud reference architectures (identity-aware RAG, policy-constrained agents), and assurance artifacts (model cards, change control, audit trails).

Outcome lens: OEE ↑, FPY ↑/DPMO ↓, MTBF ↑/MTTR ↓, faster close cycles, fewer incidents—AI that moves the P&L and passes audit.

Note – FPY — First Pass Yield; OEE — Overall Equipment Effectiveness; DPMO — Defects Per Million Opportunities; MTBF — Mean Time Between Failures (repairable systems); MTTR — Mean Time To Repair

Oracle (Consulting / Applications cloud)

Posture: AI belongs inside the workflows where finance, HR, supply chain, and service teams live. Expect talk tracks like: ground answers in your own records (RAG with policy), instrument before/after outcomes, and treat AI features as part of ERP/HCM/CX—not a sidecar chatbot. The ask from buyers: prove the Enter → Analyse → Decide gains in real workflows (FP&A forecasting lift, supplier risk scoring, HR talent match quality).

Zurich Insurance (BFSI)
Posture: AI as a force for good, scaled with governance. Think hundreds of use cases: claims triage, fraud/anomaly detection, internal knowledge bots—human-in-the-loop where stakes are high, and IoT-style prevention to reward good behaviour. The key is measurement: fewer false positives, shorter cycle times, clearer audit trails—and elevated roles, not replaced ones.

Group-IB (Cyber / Threat Intel)

Posture: AI to defend—and defend against AI. SOC copilots that summarize and enrich alerts, deepfake/phishing detection, behaviour analytics across identities and endpoints, and the emerging discipline of security of AI (prompt-injection defences, LLM gatewaying, data loss controls for AI apps). If you’re rolling out agents, involve your security team early.

Dhruva Consultants (Tax Tech Transformation)

Posture: RegTech + AI to reduce compliance cost and risk. Document AI to normalize invoices/contracts, anomaly detection for mismatches and fraud flags, and a pragmatic “bookkeeping-in-a-box” on-ramp for MSMEs. Non-negotiables: auditability, versioning, segregation of duties for anything that touches filings.

Prime Group (Labs/Certification)

Posture: Risk-scored processes—every lab step tagged with expected outputs, data access, and fallbacks. Near-term wins: smarter scheduling and test selection; long-term horizon: a Mars-ready lab by 2050 aligned with the UAE’s space ambitions. It’s operational excellence today, exploration mindset tomorrow.

Education (Heriot-Watt University, Dubai)

Posture: candid and useful: human-led pedagogy; AI-assisted admin and decision support. HWU brings talent pipelines (AI/Data Science programs), translational research, and applied robotics capacity (think Robotarium-style ecosystems). This is the repeatable talent + research engine enterprises can plug into—capstones, CPD, joint R&D—that shortens the path from idea to pilot.

WHY UAE HAS A STRUCTURAL ADVANTAGE: RAKEZ × HWU

Local context matters. RAKEZ (Ras Al Khaimah Economic Zone) is more than a location; it’s an adoption on-ramp aligned with MoIAT’s Industry 4.0 programs (ITTI/Transform 4.0). Translation: factories—especially MSMEs—get real help to deploy vision-led quality, OEE analytics, and worker-safety use cases, with policy scaffolding and incentives attached.

Pair that with Heriot-Watt University as a talent/research flywheel and you have a short, well-lit path from concept to production: execution zone + skills engine. That’s a genuine regional edge.

SUMMARY

Techsphere’s most important contribution wasn’t a prediction; it was a design pattern. ASUS gives you the enterprise substrate (AI-ready endpoints you can actually govern). Intel gives you the principles and plumbing (OpenVINO portability; CPU/GPU/NPU continuum; PC → Edge → Cloud). The panellists supplied proof patterns across industries. And the UAE context—RAKEZ for execution, HWU for talent/research—shortens the distance from idea to impact.

If “every company will be an AI company,” the winners won’t be the first to demo—they’ll be the first to standardize. Start at the endpoint, insist on portability, manage a portfolio, and make the Enter → Analyse → Decide loop measurable. That’s how the slide turns into the balance sheet.

_________________________________________________________

  • Glossary of Technical Acronyms
  • OEE — Overall Equipment Effectiveness (measures manufacturing productivity: availability × performance × quality).
  • FPY — First Pass Yield (percentage of units passing production without rework).
  • DPMO — Defects Per Million Opportunities (defect rate in Six Sigma terms).
  • MTBF — Mean Time Between Failures (average time between breakdowns of a repairable system).
  • MTTR — Mean Time To Repair (average time to repair a failed component/system).
  • AI / IT Terms
  • NPU — Neural Processing Unit (specialized chip for AI inference, optimized for low-power sustained workloads).
  • CPU — Central Processing Unit (general-purpose processor for orchestration, responsiveness).
  • GPU — Graphics Processing Unit (parallel processor for high-throughput math and AI training/inference).
  • RAG — Retrieval-Augmented Generation (technique where AI models query external knowledge bases before generating answers).
  • ERP — Enterprise Resource Planning (integrated system for core business processes like finance, supply chain, manufacturing).
  • MES — Manufacturing Execution System (software for monitoring and controlling production).
  • VDI — Virtual Desktop Infrastructure (running desktop environments on centralized servers).
  • SOC — Security Operations Center (hub for cybersecurity monitoring and response).
  • IP — Intellectual Property (protected data, models, or designs).
  • Industry & Enterprise Acronyms
  • BFSI — Banking, Financial Services, and Insurance (industry vertical).
  • FP&A — Financial Planning & Analysis (finance function for budgeting, forecasting, performance analysis).
  • HCM — Human Capital Management (HR technology and processes).
  • CX — Customer Experience (customer-facing processes and software).
  • ITTI — Industrial Technology Transformation Index (UAE Ministry of Industry and Advanced Technology initiative under Industry 4.0).

The ASUS Techsphere Forum, organized by Integrator Media, brought together C-suite leaders from diverse industry verticals to explore how evolving hardware standards are shaping the future of work. The event highlighted the growing role of AI-enabled PCs, showing how advancements in endpoint hardware can directly support business needs. By balancing industry-specific requirements with insights on hardware innovation, the forum offered executives a clear view of how these technologies can enhance productivity and deliver measurable value across the wider business community.

Tech Features

How digital transformation of UAE’s industrial sector is driving ‘Net Zero 2050’ ambitions

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By Ahmad Hamad Bin Fahad, CEO of DUBAL Holding



The UAE’s growth journey is led by an unwavering focus on driving digital transformation, enhancing renewable energy capacity and promoting regulatory excellence. This is best reflected in the ‘Net Zero 2050’ strategy, which aims to create 200,000 jobs across the solar, battery and hydrogen sub-sectors, combining economic and sustainability goals. Digitalisation of the industrial sector will play an important role in realising this vision by paving the way for long-term industrial competitiveness and resilience.

Smart manufacturing, AI adoption and Industry 4.0

Across the UAE, factories are being installed with smart manufacturing systems that integrate IoT sensors, predictive analytics and real-time data environments. These optimise energy usage, reduce downtime and minimise material waste, turning sustainability into a measurable, operational outcome rather than an abstract concept.

Furthermore, digitally connected factories can track emissions at every stage of production, benchmark efficiency and automate corrective actions. This is crucial to achieving the goals of ‘Operation 300bn’ and positioning the UAE as a global hub for future industries.

According to the Ministry of Industry and Advanced Technology (MoIAT), Industry 4.0 tools can increase the nation’s industrial productivity by up to 30 per cent while reducing operational costs by nearly 20 per cent through wider structural transformations. Moreover, AI adoption is set to contribute AED 335 billion to the UAE economy by 2031, as reported by the UAE Council for AI and Blockchain.

Artificial Intelligence is also redefining how industrial assets function, from power plants and smelters to logistics centres and material processing facilities. AI-enabled algorithms can even forecast equipment failures, balance energy loads and simulate entire production cycles to identify carbon-saving interventions. AI also helps enhance transparency and enforce operational discipline, promoting both sustainability and profitability.

Role of advanced automation in redefining industrial operations

Advanced automation, from robotics to autonomous transport systems, is driving sustainability by eliminating key bottlenecks that cause higher emissions. Furthermore, automated systems ensure enhanced precision, enabling industries to streamline energy usage, optimise supply chains and accelerate circular-economy practices such as recycling, material recovery and waste-to-value processes.

However, automation does not replace human capability; it merely enhances it, enabling operators to move on to high-value digital roles. It efficiently tackles repetitive, energy-intensive tasks, creating a more resilient, low-carbon industrial ecosystem. A key enabler of this transition is the rise of strategic, government-aligned investments in digital-first industrial ventures. These investments are the backbone of the nation’s industrial future as they help build advanced manufacturing platforms, AI-driven optimisation technologies, smart mobility solutions and digital energy-management systems.

By investing in companies that integrate digital tools into core industrial operations, the UAE is accelerating technology adoption at scale. These investments further position digital transformation as a strategic imperative for fulfilling the UAE’s sustainability goals while boosting economic competitiveness.

Way Forward: Shaping a resilient industrial economy

The UAE’s wise leadership remains committed to fostering an ecosystem that rewards digital innovation and AI adoption. Moreover, by directing long-term strategic capital towards transformative technologies, the nation is building an industrial sector that is both future-ready and climate-aligned.
Amid this shift, digitalisation stands out as the most critical tool for building a sustainable, net-zero industrial economy. Aligning with this, companies must embrace forward-looking strategies that can positively shape the future of the industry.

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Tech Features

WOMEN LEADING THE CHARGE IN 2026

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Across the technology landscape, women continue to shape innovation with resilience, curiosity, and vision. Their diverse perspectives—shaped by unique journeys, challenges, and triumphs, remind us that progress in tech is driven not only by expertise, but by the voices that dare to redefine what’s possible. This collection of insights amplifies those voices, celebrating the power of women who lead, inspire, and transform the future of technology.

International Women’s Day Comments

Sumaiya Muhammad, Sr. Marketing Specialist at Alteryx –

“My professional journey has evolved across hardware, software, telecom, and now data automation at Alteryx. Working across these domains has strengthened my adaptability and deepened my understanding of how data drives real business value. According to Alteryx research, 48% of leaders plan to increase spending on AI infrastructure and tools, signalling how rapidly enterprise priorities are shifting and how significant it is for women to build confidence in data and AI. A challenge I have consistently faced is navigating constant change in an industry where innovation cycles move quickly. I have realised that continuous learning and investing in upskilling is crucial in this industry.

This International Women’s Day, I encourage aspiring women professionals to step forward boldly and actively shape the future of technology.”

Merhan Gaballah, Construction Technology & PropTech Consultant at PlanRadar –

Throughout my career in construction technology and PropTech, my journey has evolved from commercial roles into strategic advisory positions supporting digital transformation across the GCC.

One of the key challenges has been building credibility in traditionally male-dominated environments, where technical leadership is often predefined. Overcoming this required resilience, preparation, and consistently delivering measurable impact.

Today, I see strong momentum for women in tech. Digital transformation is redefining leadership, placing greater value on collaboration, adaptability, and data-driven thinking—areas where diverse perspectives are essential.

On International Women’s Day, I hope we move beyond recognition toward sustained inclusion, where women are not highlighted as exceptions, but empowered as equal contributors shaping the future of technology.

Alexandra Gartrell, VP and EMEA Legal Lead at Cloudera –

“This year’s International Women’s Day theme, Give to Gain, is a reminder that investing in women’s advancement at work delivers returns for everyone. Diverse teams broaden talent pipelines, improve decision-making, and build workplaces where people are more engaged and more likely to stay.

AI systems inherit the assumptions of the environments that build them. When development teams skew toward a single demographic, bias doesn’t only show up in datasets. It can also appear in which problems are prioritised, how success is defined, which edge cases are tested, and what risks are accepted. In the agentic era, autonomy raises the stakes: small weaknesses in data, design, or oversight can be amplified once decisions are made at scale.

As AI becomes embedded across core business functions, coding ability is no longer the sole marker of technical contribution. Engineers need business acumen, communication skills, and the ability to collaborate across functions because responsible AI depends on context and judgment, not just models.

True inclusion means having diverse voices shape product direction and decision rights and not just representation in organisational charts. Practically, this means auditing datasets for representation gaps, testing models for unequal outcomes, stress-testing edge cases, and involving a diverse panel of human reviewers throughout the AI lifecycle.

According to Cloudera’s WLIT 2025 report, 91% of women leaders in the Middle East remain optimistic that gender equality in AI leadership will improve within five years. When women are given resources, opportunities, and authority in AI development, organisations gain better AI systems that work for everyone. In the agentic era, diversity in leadership and oversight should be treated as part of AI risk management.

Organizations that formalize cross-functional approaches, create transition pathways, and recognize emotional intelligence as a technical capability will build better AI and advance gender equity.”

Fatma Al Naggar, Senior Relationship Manager, Saxo Bank MENA –

In times of uncertainty, women have consistently proven to be natural problem-solvers and stabilisers, leading their homes, workplaces, and communities with empathy, adaptability, and a profound sense of responsibility.
While women naturally take on the role of emotional anchors due to their deep attunement to the needs of others, it is crucial that providing this support never comes at the expense of their own well-being. Sustainable resilience requires setting boundaries, prioritizing self-care, and establishing personal rituals that help maintain a positive mindset and focus on what can be controlled amidst the external noise of today’s fast-paced digital world.

As women progress in their careers and redefine leadership across industries, they are bringing a more collaborative, empathetic, and purpose-driven approach that prioritizes transparency and inclusivity over traditional authority. In highly competitive fields, particularly male-dominated sectors like finance and technology, technical expertise may open doors, but it is the mastery of soft skills such as emotional intelligence, relationship building, and strategic thinking that sustains advancement and leadership credibility.

Furthermore, living and working in a multicultural environment like the UAE significantly amplifies this professional growth. The country’s strong emphasis on safety, opportunity, and diversity provides an unparalleled space where women from all backgrounds can pursue their ambitions with confidence, learn from diverse perspectives, and foster inclusive, globally minded innovation.

Yet, achieving true gender equity demands ongoing progress to ensure equal access to leadership roles, mentorship, and career development, while continually challenging outdated perceptions about women’s roles. An ideal workplace must actively promote equality, respect, equal pay, and flexible work options, empowering every woman to reach her full potential.

On this International Women’s Day, my message to all women, especially young girls carving their own paths, is to believe in your abilities, embrace curiosity, and never hesitate to pursue challenging opportunities. By recognizing our inherent strength, owning our expertise with authenticity, and leading with resilience, we can collectively shape a more inclusive and high-performing future for our communities and industries.”

Laura Heisman, CMO, Dynatrace –

The rise of AI isn’t just a call for women to adapt, it’s an opportunity for women to lead. With an estimated 85% of the jobs that will exist in 2030 yet to be created, AI is not only reshaping roles, but entire career journeys. Traditional paths are breaking down, opening doors for women to step into emerging opportunities – and redefining what’s possible for soon-to-be graduates and school-aged girls alike.

This is our moment to help define the future of work and pave the way for generations to come. But progress isn’t automatic. Without intentional action and human connection, women risk being sidelined in this transformation. Learning, experimenting, and getting comfortable with AI isn’t optional. It’s how we remain active participants in shaping what comes next.

The future will be shaped by what and who we invest in today. When we support women and future generations through mentorship, intentional recruiting, training, and shared learning, we don’t just advance opportunity – we build better technology, stronger businesses, and a more inclusive future. It starts with choosing to learn, experiment, and grow with AI. That is the spirit of this year’s International Women’s Day focus, where we “give to gain.”

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Tech Features

NETSCOUT REVEALS QUALITATIVE SHIFTS IN DDOS ATTACK SOPHISTICATION, INFRASTRUCTURE CAPACITY, AND THREAT ACTOR CAPABILITIES

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NETSCOUT® SYSTEMS, INC. (NASDAQ: NTCT), today released its second half of the year 2025 Distributed Denial-of-Service (DDoS) Threat Intelligence Report, revealing sophisticated attacker collaboration, resilient botnets, and compromised IoT infrastructure that drove more than eight million DDoS attacks worldwide – some as large as 30 terabits per second (Tbps) – marking a new era of hyper-scale, coordinated threat activity that continues to outpace global takedown efforts. Meanwhile, the accelerating growth of DDoS-for-hire services is empowering a broader range of threat actors, intensifying operational risk to digitally connected organizations and enterprises.

Implications for security professionals extend far beyond volumetric concerns and include reconnaissance and adaptive evasion which challenge traditional defense paradigms. Organizations must match adversarial innovation with intelligent, autonomous defenses, or risk operational disruption at levels previously considered theoretical.

“Threat actors identify organizations that haven’t invested in the right defenses to stay ahead of sophisticated and coordinated DDoS attacks to take down critical infrastructure,” stated Richard Hummel, director, threat intelligence, NETSCOUT. “Traditional security defenses are no longer working, and with attackers hitting new attack size and complexity ceilings, implementing automated and proactive defenses has become a business-level risk mandate – not just a technical concern for security professionals.”

Key research findings include:

  • Massive attacks on a global scale – More than eight million attacks were identified across 203 countries and territories globally.
  • Continued Use of Multi-Vector Attacks – approximately 42% of DDoS attacks employed two to five distinct attack vectors, with some adapting dynamically throughout the attack to complicate detection and mitigation.
  • Outbound Attacks Impact Broadband and Mobile Services – Extensive direct-path attacks revealed that compromised IoT and customer-premises equipment can generate outbound floods exceeding 1 Tbps, creating liability, service, and reputational risk for broadband and mobile providers.
  • Critical Infrastructure Targeted – High‑value services such as NTP and DNS continue to face sustained attack pressure, emphasizing the need for resilient, globally distributed architectures to maintain service continuity.
  • Threat actors scale up collaboration – A surge of more than 20,000 botnet-driven attacks in July 2025 exemplified how coordinated threat activity can rapidly overwhelm defenses and disrupt critical government, finance, and transportation services.
  • Threat actor persistence – Despite international law enforcement dismantling multiple DDoS-for-hire platforms, hacktivist groups and botnets remain resilient, exerting increased pressure.
  • AI integration accelerates operations and collaboration – AI has transitioned to an operational reality, with large language models (LLMs) on the dark web accelerating vulnerability exploitation and botnet expansion, and underground forums documenting a 219% increase in mentions of malicious AI tools. Groups like Keymous+ have demonstrated how partnerships between threat actors amplify attack power, with bandwidth increasing nearly fourfold.

NETSCOUT maps the DDoS landscape through passive, internet vantage points, providing unparalleled visibility into global attack trends. For more than 15 years, NETSCOUT has delivered trusted, consistent DDoS Intelligence based exclusively on directly observed, verifiable attack traffic. NETSCOUT does not aggregate multiple alerts or geographically distributed events into composite peak values, ensuring accuracy, repeatability, and true comparability across reporting periods. Peak metrics reflect single-second maximum bits-per-second (bps) and packets-per-second (pps) rates measured at defined mitigation and monitoring points.

NETSCOUT protects two-thirds of the routed IPv4 space, securing network edges that carried global peak traffic of over 800 Tbps, covering 376 industry verticals and 12,698 Autonomous System Numbers (ASNs) in the second half of 2025. It monitors tens of thousands of daily DDoS attacks by tracking multiple botnets and DDoS-for-hire services that leverage millions of abused or compromised devices.

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