Author: Malavika Madgula

COVID-19 proved that remote teams could succeed, no matter how far-flung they were and where they worked So, it was but natural for employees to develop a taste of the freedom of being able to respond to email and collaborate with colleagues on any device, from anywhere — whether they’re waiting for the kids to finish school, in the lounge at the airport, or working at their kitchen table. In this era of distributed teams and remote work, end-user computing via DaaS (desktop-as-a-service) is extremely relevant for enterprises that require scaling compute resources at the lowest cost and quickly. DaaS…

Are you a fan of chatbots like Gemini, Claude, or ChatGPT? Chances are, you’ve asked them to generate passwords for you… After all, they’ve handled complex tasks for you, so it makes sense that something so accessible yet seemingly high-tech could produce secure passwords for your accounts. Turns out, the case is the exact opposite. Artificial intelligence (AI) and large language models (LLMs) are apparently more predictable than humans when it comes to patterns, as the AI cybersecurity firm Irregular found out. When it tested Gemini, Claude, and ChatGPT, it found that the passwords they generated weren’t truly random, but…

When Sify asked its LinkedIn community what was holding their networks back from being truly AI-ready, the answers were less about technology and more about the hard realities of running it Last week, Sify ran a poll asking the question: What is holding your network back from being truly AI (artificial intelligence) ready? While managing performance and cost came out on top (42%), scaling for AI/ML (machine learning) workloads was close behind (31%) – and it isn’t surprising. As enterprises accelerate AI adoption, performance has become anything but straightforward, and network infrastructure has transformed into the backbone of scalability, security,…

Artificial intelligence (AI) has been unlocking new possibilities at breakneck speeds… With teams eager to explore how these tools can speed up innovation and work by testing and experimenting with ideas, this energy without structure is a risky proposition. When people “go rogue” with AI tools, knowingly or unknowingly, they introduce everything from reputational harm to data leaks and compliance gaps. The idea isn’t to stifle creativity, but rather, the challenge is how to channel it. That’s where “sandboxing” comes in. Teams require sandboxes: places to execute code that are isolated from their applications and the rest of the world,…

We’re in that era of gambling where gamblers aren’t restricting their bets to horses and sports teams; they’re also betting on election results, the possibility of a country launching strikes against another, and even the possible resurrection of someone who’s long been dead. Welcome to the world of prediction markets, where people bet on a wide range of future events, allowing them to speculate on an array of real-world events — the weather, sports, the Oscars, Taylor Swift’s wedding, gold prices, and even political outcomes and military incidents.Two of the largest and most popular prediction market platforms are Kalshi and…

According to Fortinet’s 2026 Cloud Security Report, cloud security teams are more focused on whether their defences can keep up with the speed of change and are less worried about cloud platforms’ security. As cloud adoption continues to transform security landscapes and IT infrastructure, nearly 88% of enterprises already operate across hybrid/multi-cloud environments. However, a shocking two-thirds lack confidence in real-time threat detection and response capabilities. These findings point to a growing disconnect between the operational complexity and scale of modern cloud environments and the largely human-driven security processes many enterprises still rely on to defend them. While organisations have…

AI (artificial intelligence) is the fastest-growing expense in industry technology budgets today, with it consuming up to nearly half the IT spend in some organisations. As generative AI (GenAI) becomes central to operations, cloud computing bills are also rising sharply, up to as much as 19% for many organisations in 2025. Even then, returns can remain elusive. According to the Deloitte US Tech Value survey for 2025, only 28% global finance leaders have reported measurable value from their AI investments, and nearly 50% expect it to take up to 3 years to see any return on investments from basic AI…

In mid-February 2026, Sify Digital Services and HCL Software shook hands on rolling out a fully managed sovereign AI (artificial intelligence) stack for Indian enterprises These efforts to localise AI infrastructure came on the heels of India unveiling three new, indigenous, and sovereign AI models from BharatGen, Gnani.ai, and Sarvam at the India AI Impact Summit in early February 2026. This push for sovereign AI stems from the idea of an “Atmanirbhar Bharat,” which is the beginning of India’s journey towards designing and building self-reliant, homegrown alternatives to the AI systems world over that are dominated by Big Tech. As…

Imagine a scenario where an AI (artificial intelligence) agent just booked you a flight, transferred the funds, and updated the customer database — all while you were grabbing your much-needed cup of coffee… Sounds efficient, futuristic, and too good to be true, right? Now imagine its nightmarish version: the same AI agent which gets tricked by a clever prompt and begins chatting with shady APIs, ultimately escalating privileges across your entire system, or leaking sensitive data. Welcome to the agentic AI era, where autonomous agents aren’t simply chatting — they’re acting as well. They not only move data but also…

Imagine a bank that runs pre-runtime security before opening: this includes installing cameras, locking doors, and hiring and training staff and employees. This is basically the testing bit of securing an AI (artificial intelligence) model before deployment. Next, there’s runtime security, which takes place during working hours, when customers walk in and interact with tellers and transactions take place. Now here come the glitches: someone trying to move money illegally, behaving suspiciously, or trying to pass a fake cheque. This is where surveillance systems and live security guards step in, stopping threats immediately by detecting unusual activity and monitoring behaviour…