Author: fariehan

Artificial intelligence is once again being used to carry out sophisticated threats and this time, crypto firms are the target. In early 2026, the ISACA warned that AI-assisted hacking groups are combining deepfake calls, social engineering and automated risk assessment to infiltrate crypto firms and steal money or credentials. Consequently, this development represents a new stage in social engineering where attackers no longer use just phishing emails. It has instead evolved into a multi-stage AI-enhanced operation that manipulates employees and largely exploits human trust. How AI Transformed Social Engineering AI has always been a significant threat that continues to evolve.…

Enterprise SaaS teams now use Agentic AI tools that autonomously execute real work and don’t just give suggestions. As at February 2026, the demand for these autonomous agents surged 31.5% year-over-year as a technological priority signaling the end of the pilot AI era. Unlike traditional AI implementations, Agentic AI embodies a novel system where AI demonstrates autonomy to carry out complex tasks without the need for human intervention. Why Enterprise SaaS is Embracing Autonomous Agents Before now, the use of AI was limited to just assistive roles. Organizations are now embedding autonomous agents directly into SaaS products used for IT,…

Alphabet, Google’s parent company, raised $20 billion in a multi-tranche bond sale to help fund a massive artificial intelligence infrastructure expansion. Alphabet plans to spend between $175 billion and $185 billion in capital expenditures in 2026, with the majority directed toward AI-driven data centers, advanced computing systems, and cloud capacity. As a result, it is one of the largest debt raises directly tied to AI infrastructure to date. According to Reuters, investor demand exceeded $100 billion which was far above the initial target. To satisfy this demand, Alphabet also increased portions of the offering. The company issued a rare 100-year…

Deepfake corporate fraud has evolved once again. Unlike traditional cyberattacks focused on phishing and faking invoices, attackers are now targeting zoom calls. In several recent cases, attackers used AI-generated video and voice to impersonate executives during live meetings. The finance teams saw familiar faces and heard familiar voices so they assumed all was alright. It wasn’t until later that security teams discovered the deception. How Deepfake Zoom Attacks Work Firstly, attackers gather materials from the internet. Public speaking videos, audio from interviews and social media clips are all a part of the tools used to create the deepfake. Then, they…

2026 marks a definitive turning point for Venture Capital. Investors are now showing massive support after being cautious for two years. Compared to the 2021 boom, this recovery is different. Instead of pouring money into anything without structure, investors are only backing fewer companies but with record-breaking rounds. According to SVB’s State of the Markets report, global VC funding reached $340 billion even though the number of deals hit the lowest count in years. This development shows that capital is flowing but it is toward companies with high growth potential and operational efficiency. Momentum Builds After a Reset Year The…

AI startups are attracting massive investments in 2026 and investors are not just focusing on virality. They are now more focused on infrastructure and edge AI solutions that make AI reliable, scalable and enterprise ready. Startups that optimize compute, streamline deployment and process AI on devices get funding because they solve real operational problems that enterprises face today. Currently, Global spending on AI is expected to rise to more than $2.5 trillion in 2026. The majority of this funding is going into backend infrastructure. Scalable Infrastructure Funding the AI Backbone To properly scale artificial intelligence, startups must first focus on…

The Edge AI revolution is shifting focus from large language models to small, specialized reasoning models that run directly on smartphones, smart watches and IoT devices (Vehicles or appliances with sensors). Edge AI refers to the deployment of Artificial Intelligence models or algorithms to perform machine learning tasks directly on Edge devices like smartphones or IoT devices. It enables real-time data processing and analysis without having to rely on cloud infrastructure. What is Edge AI and Why it Matters for Smartphones To put it simply, edge AI or AI on the “edge” refers to the combination of edge computing and…

Meta started 2026 with a strong earnings beat. The company posted higher revenue and profits and investors responded immediately by pushing the stocks higher. More importantly, AI spending played a crucial role in this achievement. For years, Meta was under scrutiny for the heavy AI investments. Many investors considered it over the top with nothing to show for it. But with this latest development, Meta’s strategy has now been validated with clear returns. Meta Delivers Blowout Earnings as Investment Pays Off Meta platforms reported a 24% increase in revenue year-over-year growth for the fourth quarter. Their revenue rose to about…

Microsoft showed a slowdown in the growth rate of its Azure cloud segment, largely driven by the rising costs of supporting AI workloads. As Microsoft scales AI services across Azure, the company must invest heavily in data centers, advanced chips and energy infrastructure. These costs pay a heavy role in how investors evaluate Azure’s performance. Microsoft Azure is a cloud computing platform developed by Microsoft and it offers management, access and development of applications and services to individuals, companies, and governments through its global infrastructure. Many enterprises rely on Azure to run AI models, data analytics and cloud applications. According…

Amazon and Nvidia are in a power struggle over control of the chips that power Cloud Computing and Artificial Intelligence. Nvidia dominates AI workloads through its GPUs and tightly integrated software stack. Meanwhile, Amazon wants to reduce this dominance by designing its own custom chips for AWS. This clash goes beyond performance and it will definitely shape the future of AI infrastructure. Nvidia Grip on AI Compute Nvidia holds over 80-90% of market shares for AI accelerator chips. Its GPUs are used to power the majority of the large AI models used for training and inferences across the cloud. According…