Tech News

NETSCOUT CONTINUES TO INNOVATE ITS ARBOR DDOS PROTECTION WITH AI/ML TO REDUCE CYBERSECURITY AND BUSINESS RISKS

Published

1 year ago

February 27, 2025

NETSCOUT SYSTEMS recently announced it enhanced its Arbor Threat Mitigation System (TMS) Adaptive DDoS Protection solution with additional AI/ML functionality to better detect and block malicious traffic.

Distributed Denial of Service (DDoS) attacks targeting critical IT infrastructure and services have increased by 55% over the last four years. A perfect storm of AI-driven automation, evolving DDoS-for-hire services, augmented IoT botnets, and geopolitical conflicts have changed the threat landscape with more frequent, sophisticated attacks having the potential to do more damage more rapidly. To combat these attacks, organizations, enterprises and service providers require AI/ML-enabled solutions that can continually adapt to threats, using proactive, intelligence-driven security strategies to protect their networks.

“With AI-driven attacks, ransomware, and nation-state threats impacting corporate governance, financial performance, and customer trust, corporate boards expect their IT teams to be proactive in adapting to emerging threats like DDoS,” said Chris Steffen, Vice President of Research – Information Security, Enterprise Management Associates. “Implementing solutions that can adapt to threats helps minimize that risk.”

NETSCOUT utilizes a hybrid AI/ML strategy that combines AI/ML running at scale in the cloud, with supervision, to analyze data collected from an unprecedented 550 Tbps of Internet traffic (almost half of all Internet traffic), along with AI/ML running in our software solutions to enable automated protection from these attacks. This provides a ‘best of both worlds’ approach – the computational scale of the cloud allows for large-scale analysis of threat data with supervision to ensure accuracy while AI/ML running in our software solutions enables them to leverage that pre-analyzed intelligence to make fast, accurate, automated decisions about what to detect and block.

The company’s cloud-based AI/ML drives the creation of the ATLAS Intelligence Feed, which delivers unique capabilities in its Adaptive DDoS Protection solutions, arming them with the latest DDoS attack intelligence. The continuous analysis, which is updated multiple times per day, provides insight into the source IP addresses of devices actively conducting DDoS attacks on the internet, novel attack vectors, DDoS attack targets, and other intelligence. This enables Adaptive DDoS Protection to quickly and accurately detect even small direct-path attacks from sampled flow data and send the traffic to TMS for automated blocking.

The latest AI/ML-derived ATLAS Intelligence Feed iteration has been augmented with enhanced Geo-IP location functionality that maps IP addresses to geographic locations, enabling faster and more precise identification and blocking of malicious traffic. In addition, the ATLAS Intelligence Feed now includes NETSCOUT’s ATLAS tracking of active DDoS campaigns, enabling Adaptive DDoS Protection to automatically detect and block attacks from over 65 known DDoS threat actors carrying out active attack campaigns against a range of targets, including NoName057 and RipperSec.

AI/ML technology has also been adopted as part of the Adaptive DDoS Protection solution. New in the latest release is AI/ML-powered source host misuse detection, which enables network operators to track misbehaving subscribers, infected hosts, compromised IoT devices, and other internal attack sources. This new capability makes it easier to detect and block outbound DDoS attacks that can impact service and infrastructure performance and availability as edge connectivity speeds increase. New TMS Source Mitigations enable network operators to redirect and surgically protect against threat activity from specific sources that may be targeting the entire network without requiring fully inline solutions on all network traffic.

Service Provider Benefits

With updates to NETSCOUT’s Adaptive DDoS Protection solution, service providers can better protect their critical infrastructures and the services they provide to their customers. Other key advantages include enhanced availability, reduced downtime costs, less aggravation, and new revenue-generating opportunities.

“With more sophisticated and frequent DDoS attacks, the risks have never been greater,” said Scott Nichols, Chief Commercial Officer at Arelion. “Through our partnership with NETSCOUT, we’re able to deliver industry-leading Adaptive DDoS protection to ensure the best experience possible for our customers.”

Tech News

Snowflake powers KSA’s Zahid Group’s data and AI transformation to unlock enterprise value

Published

2 days ago

August 12, 2026

Integrator Web-Editor

Zahid Group, one of Saudi Arabia’s leading diversified business groups spanning heavy equipment, energy, transport and manufacturing, and others, has selected Snowflake, the AI Data Cloud company, as the strategic foundation for its enterprise data and AI transformation, giving the Group a scalable way to strengthen governance, advance AI adoption, and elevate customer experiences enterprise-wide. The relationship was formalized during a signing ceremony at Zahid Business Park in Jeddah, launching a multi-year investment that will strengthen productivity and support technology-led growth in line with Saudi Vision 2030.

With Snowflake, Zahid Group’s Digital Solutions Division is unifying data from across its business streams and departments on a governed, secure, centralized and scalable lakehouse platform. A modern business intelligence ecosystem will give leaders faster access to information, enabling them to spend less time reconciling reports and more time acting on insights. The next phase will use Snowflake Cortex AI to enable employees to engage with data through natural language, reducing reliance on traditional reporting and shortening the path from question to decision.

Snowflake’s adoption at Zahid Group comes as Saudi Arabia accelerates its goal of becoming the Middle East’s leading AI infrastructure and technology hub. The Council of Ministers has designated 2026 as the Year of AI, and PwC estimates that AI could contribute around 12.4% of the country’s GDP by 2030.

Before adopting Snowflake, Zahid Group’s data was dispersed across multiple systems, requiring extensive manual consolidation and resulting in reporting inconsistencies that slowed decision-making. As an early proof of value, the Caterpillar Helios initiative demonstrated the power of secure, real-time data sharing through Snowflake. Building on this foundation, Zahid Group is now extending Snowflake’s capabilities across its digital ecosystem, enabling real-time data streaming and integration with core platforms such as Infor and Salesforce.

This connected architecture has standardized critical reporting processes, reducing month-end reporting cycles from days to hours, and in many cases minutes. By eliminating manual effort and improving data consistency, it provides leaders with timely, trusted insights that support faster decision-making and strengthen a culture of data-driven innovation.

Suzan Sadek, Group IT Manager, Zahid Group, said: “Data is one of the most valuable assets of the digital economy. By choosing Snowflake, we are building a trusted and scalable data foundation that enables AI-driven innovation, faster decision-making, and improved customer experience. This transformation strengthens Zahid Group’s competitiveness, while supporting Saudi Arabia’s Vision 2030 ambition to create a data-driven economy.”

Michel Nader, General Manager for the Middle East, Turkey & Africa, Snowflake, said: “Zahid Group is demonstrating how trusted data can become the foundation for enterprise AI at scale. Snowflake brings information closer to customers while providing leading AI capabilities to enable digital transformation across Zahid’s operating environment. We are proud to support the company’s next phase too, where employees can access trusted insights faster and strengthen the Group’s ability to create lasting and scalable value across its businesses.”

Looking ahead, Zahid Group will expand Snowflake’s platform’s role across the Group, extending governed data products, advanced analytics and AI capabilities into more business functions to deliver measurable value for customers, partners and employees.

Tech News

PNY Technologies Joins LEAP 2026 with the Latest AI Technologies – Riyadh, Saudi Arabia | 31 August to 3 September | Booth H3-D10

Published

3 days ago

August 11, 2026

Integrator Web-Editor

PNY Technologies announces its participation in LEAP 2026, taking place in Riyadh from 31 August to 3 September, where it will present its latest AI infrastructure and accelerated computing solutions.

The showcase will feature the technologies behind PNY’s AI infrastructure portfolio, from the AI Enterprise Factory to the latest NVIDIA RTX PRO and GeForce graphics solutions, together with networking and infrastructure technologies.

Visitors will also be able to explore the PNY AI Factory Digital Twin Configurator, which allows users to design and configure their own AI factory using digital twins and NVIDIA Omniverse.

PNY will also host live demonstrations developed in collaboration with its technology partners, including SOMOD, DDN, INFINIARC, VERTIV, and F5.

The company’s participation in LEAP 2026 reflects its continued commitment to supporting AI innovation across the Middle East and helping shape the technologies powering the region’s digital transformation.

The PNY team, including regional representatives, will be on-site throughout LEAP 2026 to meet with visitors, partners, and members of the media at Hall H3, Booth D10. Attendees wishing to arrange a briefing or interview are welcome to submit a request below.

Contact request: https://forms.pny.eu/pny-at-leap-2026/

Press contact: sverdier@pny.com / mhamdouche@pny.com

Tech News

Globant Introduces Glob.AI, Reinventing Technology Services for the AI Era

Published

3 days ago

August 11, 2026

Integrator Web-Editor

Globant (NYSE: GLOB), a global company focused on driving enterprise reinvention through AI, today introduces Glob.AI, a new AI-native tech services model that fundamentally changes how enterprises access, purchase and deploy AI services. Available online through a self-service model, Glob.AI gives organizations access to enterprise-grade, high quality AI Pods (service units run by a set of AI agents and supervised by humans). Companies are charged for what they produce -per output or per consumption- never per seat or per hour.

“For over 20 years, Globant has stayed ahead of every major technology shift, and AI is no different. Glob.AI is our next step: the one-stop shop where our AI Pods live, each specialized by task and industry. Traditional AI adoption drives token consumption far beyond what efficient output requires, and the real cost is the wasted tokens plus the unstructured, manual supervision of AI. AI Pods introduce a smarter model, running the right AI through parallel agents, loops, workflows, and deterministic processes, representing the true state of the art of what AI can deliver today,” said Martín Migoya, CEO and co-founder of Globant.

Glob.AI brings together AI-native velocity with Globant’s 23 years of enterprise delivery baked into the governance layer. AI agents do the heavy lifting, with Globant’s experts supervising their outputs and guiding every step. Glob.AI works to standards–documented, tested, secure, built for enterprise scale. It’s the speed AI promises, with the rigor and quality that businesses need, by including:

Well-defined, deterministic, and repeatable processes, supervised end to end by experts
Optimized AI usage and transparent pricing: customers pay strictly for expert-validated outputs and/or real consumption — not hours, seats, AI hallucinations, retries, or wasted cycles.
At least 30% more productive than the typical engineer-plus-AI approach
Full AI sovereignty and governance: total flexibility over which models customers use and where they run them, with zero client data ever used to train external models.
Token consumption secured in a client’s proprietary Token Vault, providing full traceability and compounding a client’s institutional knowledge over time.

“AI is not just making the same projects faster, it is making thousands of projects viable that never were before,” said Guibert Englebienne, co-founder of Globant. “Until today, enterprises could not buy technology services this way: instantly, transparently, paying only for results. That is the shift Glob.AI delivers, and the strong demand for AI Pods shows enterprises are ready for it.”

Organizations joining the waiting list at Glob.AI will gain early access to a comprehensive catalog of agentic workflows capable of building and deploying solutions for enterprise platforms and specialized industry use cases. The AI Pods in the offering also include partnerships with major organizations including Anthropic, AWS, Vercel, OpenAI, Adobe, Azure, Google Cloud Platform, SAP and Salesforce.

Traditional enterprise tech services require months of discovery, RFPs, and procurement cycles before the work begins. Glob.AI changes that model entirely. Users can log in and immediately start building enterprise grade software. Tech delivery becomes a live, continuous service rather than a fixed-term project — every improvement and release happening on the platform, fully visible to the client, in real time.

Globant released AI Pods in mid-2025, and they are already in use by several Fortune 500 organizations across media, entertainment, professional services, and finance, delivering early results that include:

FIFA experiencing a 20% efficiency increase in throughput generation while maintaining or improving quality rates
LALIGA deploying AI across key functions in three months
YPF reducing contract timelines by up to 40%
PharmaMar achieving 15x faster insights in oncology research
A leading commercial bank completing a COBOL migration in 2 months versus 14 as projected with a traditional approach