The future of cybersecurity means defending everywhere. Securing IoT, cloud, and remote work requires a unified edge-to-cloud ...

There is a common misconception that AI applications can be sufficiently tested and derisked by running a pilot in a ...

As enterprises continue navigating the complexities of digital transformation, Rahul Jain's work reflects how thoughtful, ...

The explosive, easy-to-trigger vulnerability was exploited within hours of disclosure, exposing the risks of default ...

Koteswara Rao Chirumamilla is a senior enterprise data engineering and cloud modernization professional with over fourteen ...

In the age of cloud, AI and real-time data, finance needs a design language that connects systems, people and purpose.

If your AI feels slow, expensive or risky, the problem isn’t the models — it’s the data, and cognitive data architecture is ...

Bala Ramakrishna Alti is an enterprise infrastructure and security engineer specializing in Linux systems, cloud-native architecture, and automation-driven cybersecurity. His work focuses on designing ...

1. Risk: AI Monoculture (Shared Blind Spots). This is the most critical and overlooked systemic vulnerability. Building your ...

The industry hype says "more agents is all you need," but new data shows that strictly sequential tasks and tool-heavy ...

Industry-Leading Mobile App Developer Unveils Game-Changing Technology That Transforms How Businesses Build and Deploy ...

Blue Cloud Softech Solutions Ltd, in collaboration with Orange, pioneers India’s first enterprise grade BSNL 5G FWA ...