Latest updates, practical guides and expert opinions on IT infrastructure, cloud and cyber security.
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AI is no longer limited to answering questions or generating content. Organisations are increasingly experimenting with AI agents that can access applications, interact with APIs, retrieve information, make decisions and execute tasks with limited human intervention. That creates a new cybersecurity question: if an AI agent can access your systems, what identity does it use and what is it allowed to do?
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For years, cybersecurity teams have worked around a familiar model: Detect. Investigate. Respond. Recover. But AI is changing the speed at which parts of the attack lifecycle can happen. Threat actors are increasingly using AI to accelerate reconnaissance, vulnerability research, credential harvesting, phishing, malware development and other activities.
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For the past two years, India's Digital Personal Data Protection Act (DPDPA) has felt like something businesses could deal with later. That window is closing fast. With the DPDP Rules notified in November 2025, the countdown has officially begun — full substantive obligations, including penalties of up to ₹250 crore per violation, come into force on 14 May 2027.
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Most conversations about India's Digital Personal Data Protection Act happen in legal and compliance teams. That's a mistake. The heaviest lift and the biggest risk sit squarely with IT and security. DPDPA requires organisations to prove, at any moment, that personal data is being processed securely and that breaches are detected and reported within strict timelines.
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A recent cybersecurity incident involving Bank of Baroda has once again highlighted an uncomfortable reality: cybersecurity isn't just about protecting systems anymore; it's about protecting trust. A single compromised identity can become the entry point to a much larger security incident.
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Every CIO in India tracks uptime — 99.9% availability, mean time to resolution, ticket closure rates. But here is the number almost no CIO is tracking, and it is the one that matters most: Mean Time to Detect (MTTD). For most Indian enterprises, that number is not hours or days — the global average is 194 days.
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Cloud cost optimisation has traditionally focused on right-sizing virtual machines, shutting down idle resources, and selecting appropriate storage tiers. While these remain important, they often overlook one of the fastest-growing contributors to cloud spend: data egress.
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Every office in India has one — a guard at the gate with a visitor register and sharp eyes. You hired him without a second thought, because leaving your office unguarded felt irresponsible. So here's the question nobody asks out loud: why do most Indian businesses guard their office gate more seriously than their IT infrastructure?
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Picture this: a production line in Nagpur. Machines humming, shifts running on time, orders going out. Somewhere in that network, quietly, for the past 42 days, a ransomware group has been watching — mapping your systems, waiting for the right moment. Then one morning, the machines stop. This isn't fiction.
Read MoreThere's a quiet crisis unfolding in Indian boardrooms, and most decision-makers don't see it coming until it's too late. A ransomware attack. A misconfigured cloud server leaking customer data. A firewall that hasn't been patched in 18 months. These aren't hypothetical scenarios — they're headlines from last quarter.
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