E-Business
Study Identifies Latest Trends in Computing Usage, Spending

The latest International Data Corporation (IDC) worldwide study of high performance computing (HPC) end-user sites, now fully available, provides a wealth of new information on trends in HPC usage, purchasing criteria, and budgets.
The 2013 study included sites representing 905 HPC systems, nearly double the 488 systems profiled in the previous version of the study.
Highlights from the study’s six reports include that the proportion of sites employing co-processors or accelerators in their HPC systems jumped from 28.2% in the 2011 version of the study to 76.9% in 2013. Co-processors/accelerators advanced from slightly more than 1% of all processor parts in 2011 to 3.4% in 2013, with Intel Xeon Phi co-processors and NVIDIA GPUs running neck and neck for leadership, and FPGAs in a respectable third-place position.
The use of co-processors and accelerators is still wider than it is deep, meaning that these newer devices have entered many more sites but are often still used for exploratory purposes rather than production computing. Industrial/commercial firms tend to buy fewer of these devices but use more of them in production environments.
On High Performance Data Analysis Report, IDC identified that 67% of the sites in the 2013 study said they perform Big Data analysis on their HPC systems, with 30% of the available computing cycles devoted on average to Big Data analysis work.
IDC forecasts that revenue for high performance data analysis (HPDA) servers will grow robustly during the 2012–2017 forecast period, increasing from $743.8 million in 2012 to nearly $1.4 billion in 2017. HPDA storage revenue will near $1 billion by 2017.
The study also showed that on Storage/Interconnects Report, the 2013 end-user study also confirmed IDC supply-side research finding that storage is the fastest-growing technology area at HPC sites. By 2017, IDC expects HPC storage revenue to increase to a record $6.0 billion.
That $6 billion figure would equal the value of the worldwide HPC server market in the year 2000. Within the surveyed sites’ primary HPC systems, Ethernet variants predominated and InfiniBand was a strong second. The percentages of each varied in the sites’ other HPC systems.
On Cloud Computing Report, the proportion of sites exploiting cloud computing to address parts of their HPC workloads rose from 13.8% in 2011 to 23.5% in 2013, with public and private cloud use about equally represented among the 2013 sites.
Applications Software Report has it that 64.4% of the respondents’ codes are running on one node or less, 13.3% of the codes run on just a single core, only 5.2% of the applications are being run on more than 1,000 cores, and just 0.9% scale to 10,000 or more cores.
IDC forecasts that HPC application software spending will reach $4.8 billion by 2017 and will command a higher percentage of HPC budgets.
On the other hand, Systems Software Report, the study confirms that the expanding sizes and complexity of HPC systems, along with their need to operate in new environments, poses substantial challenges for HPC management software (middleware). IDC forecasts that spending on HPC systems software will expand to exceed $1.5 billion by 2017.
“The most surprising findings of the 2013 study are the substantially increased penetration of co-processors and accelerators at HPC sites around the world, along with the large proportion of sites that are applying Big Data technologies and methods to their problems, and the steady growth in cloud computing for HPC,” said Earl Joseph, Program Vice President for Technical Computing at IDC.
IDC uses the term high performance computing (HPC) to refer to all technical computing servers and clusters used to solve problems that are computationally intensive or data intensive. The term also refers to the market for these systems and the activities within this market. It includes technical servers but excludes desktop computers used for technical computing.
E-Business
Gold Hits Record $5,110/Ounce Amid Trump Tariff Threats, Geopolitical Fears

Gold prices smashed through $5,100 per ounce on Monday, January 26, surging to a historic peak of $5,110.50 as investors rushed into the safe-haven asset amid escalating geopolitical tensions and U.S. policy volatility.

Gold
Spot gold climbed 2.2% to $5,089.78 by 0656 GMT, while U.S. February futures rose similarly to $5,086.30. The metal, up 64% in 2025—its strongest annual gain since 1979—has now advanced over 18% year-to-date, fueled by safe-haven buying, anticipated U.S. rate cuts, China’s 14th consecutive month of central bank purchases in December, and massive ETF inflows.
Analysts point to a crisis of confidence in U.S. assets, sparked by President Trump’s erratic threats last week. He retreated from tariffs on European allies to pressure Greenland seizure, then vowed 100% tariffs on Canada over a potential China trade deal and 200% on French wines to push President Emmanuel Macron toward a “Board of Peace” initiative.
“This Trump administration has caused a permanent rupture in global norms, driving everyone to gold as the sole refuge,” said Kyle Rodda, senior market analyst at Capital.com.
A weakening dollar—hit by a rising yen and pre-Fed meeting caution—further boosted gold’s appeal for non-dollar holders, with markets eyeing possible yen intervention.
E-Business
Firm Identifies AI as Common Denominator in Entertainment Industry’s 2026 Security Threats

In its Kaspersky Security Bulletin, the cybersecurity company’s researchers identified critical threats expected to affect the global entertainment industry in 2026, from ticketing and visual effects pipelines to content delivery networks, games and regulation.

Artificial intelligence is changing how people buy tickets, watch movies and play games – and it is also changing how malicious actors target those experiences.
The entertainment industry is particularly sensitive to AI because the technology does not only automate back-office workflows; it increasingly creates and imitates the core product itself – human-centered stories, performances and visual experiences.
Kaspersky researchers highlighted five critical threats emerging as AI integrates deeper into entertainment workflows and consumer experiences.
What happens when ticket markets become an arms race between algorithms and scalpers? Kaspersky predicts that AI will make dynamic pricing faster and more granular, while also giving scalpers better tools to identify profitable events, deploy bots at scale and manage resale pricing across multiple platforms.
Even when artists choose fixed face values, AI-driven resellers can recreate “dynamic” pricing on secondary markets by adjusting prices in real time based on demand signals.
How will AI-commodified visual effects affect the risk of leaks? As high-end computer-generated imagery becomes more accessible through cloud-based AI platforms, studios will connect to larger networks of small vendors and freelancers.
Kaspersky expects attackers to target this extended supply chain by compromising render farms, plug-ins or small post-production houses in order to quietly steal sequences, assets or episodes before release, bypassing more heavily protected studio environments.
Could content delivery networks become a direct target? CDNs now carry unreleased episodes, game builds and live streams for many major entertainment brands, concentrating valuable content in a small number of providers.
AI-enhanced attackers will be able to map CDN infrastructure more efficiently, locate where premium content resides and search for weak credentials or configuration errors. A single successful compromise could expose multiple titles at once or allow malicious code to be injected into legitimate streams.
How will generative tools change abuse patterns in games and fan communities? Players and power users will continue to jailbreak in-game AI companions and content editors, and to use external generative models to produce material that would normally be blocked – such as hyper-violent or sexualized scenarios – and then reimport it into games, mods, or fan videos.
There is also a risk of personal data appearing in “creative” outputs if training or fine-tuning data is not properly cleaned, for example, when lyrics, dialogue, or imagery inadvertently include real names or other identifying details.
What role will regulation and compliance play for AI in creative work? Lawmakers and industry groups are moving toward rules that require transparency about AI-generated media and clearer consent and licensing practices for training on copyrighted material.
Kaspersky expects this to drive the creation of new roles inside entertainment companies, similar to COVID-compliance managers on film sets, focused on AI governance: checking how AI tools are trained, how they are used in production and marketing, and whether they comply with contractual and legal requirements.
“As we examined different parts of the industry, it became clear that AI is the thread running through most of the emerging risks.
“By diving into this, we wanted to highlight that AI will not only help defenders detect anomalies faster, it will also help attackers model markets, probe infrastructure and generate convincing malicious content.
“Studios, platforms and rights holders need to treat AI systems, and the data behind them, as part of their core attack surface, not just as creative tools, and build security and governance around that reality,” said Anna Larkina, web content analysis expert at Kaspersky.
E-Business
Firm Detected a Fivefold Surge in QR Code Phishing Attacks in the Second Half of 2025

Kaspersky has reported a spike in phishing emails containing malicious QR codes. Detections for these jumped from 46,969 in August 2025 to 249,723 in November 2025 – a more than fivefold growth – as cybercriminals increasingly exploit QR codes, a trend that will likely continue in 2026.

Attackers use QR codes in emails more frequently because they provide a simple and cost-effective way to conceal malicious URLs, evading detection by many protective solutions.
These QR codes are often embedded directly in email bodies or, even more commonly, within PDF attachments – an evolution that both masks phishing links and encourages users to scan them on mobile phones, which may have weaker security than work PCs.
Malicious QR codes commonly appear in mass phishing campaigns as well as targeted ones. Links embedded within them may lead to:
- Phishing forms impersonating login pages for services like Microsoft accounts or internal corporate portals, designed to steal usernames, passwords, and other credentials.
- Fake HR notifications urging employees to review or sign documents, such as vacation schedules, or even view lists of terminated staff, ultimately directing to credential-stealing sites.
- Fraudulent invoices or purchase confirmations in PDF attachments, often combined with vishing (voice phishing) tactics that prompt victims to call provided phone numbers to “cancel” or clarify the transaction, enabling further social engineering attacks.
These tactics exploit trust in routine business communications, leading to credential theft, account takeovers, data breaches, and financial fraud.
“Malicious QR codes have evolved into one of the most effective phishing tools, particularly when hidden in PDF attachments or disguised as legitimate business communications like HR updates.
“The explosive growth in November 2025 highlights how attackers are capitalising on this low-cost evasion technique to target employees on mobile devices, where protection is often minimal.
“Without advanced image analysis at the email gateway and safe scanning practices, organisations are left vulnerable to credential compromise and downstream breaches,” comments Roman Dedenok, Anti-Spam Expert at Kaspersky.
To defend against this escalating threat, Kaspersky recommends educating employees on cybersecurity and deploying a mail server security solution such as Kaspersky Security for Mail Server that provides trusted and secure corporate email exchange, countering spam, email-borne infections, all forms of phishing, business email compromise (BEC), QR code attacks, and other threats.
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