Shubho's Blog

The emergence of Generative AI (GenAI) with Large Language Models (LLM) has unlocked promises of revolutionary possibilities driving newer business opportunities and customer experiences. It is not surprising that leading technology innovators like Microsoft, Google, Meta, NVIDIA, IBM, Databricks, Snowflake, and many others are investing heavily in LLMs to create business value for the next decade. If GenAI delivers in line with the early signs then the scale of economic impact will be huge.  McKinsey Global Institute estimates that generative AI will add between $2.6 and $4.4 trillion in annual value to the global economy, increasing the economic impact of Artificial Intelligence as a whole by 15% to 40% . In this article, I will focus on the implications of GenAI on data security, privacy, and governance, and discuss how organizations can adapt to ensure a secure and responsible future. Implications of GenAI on data security Data is critical to every business and it makes each en...

In my previous blog, I talked about what software supply chain attack is all about. It occurs when a threat actor infiltrates a network and employs malicious code in the software before the publisher sends it to their customers and then it compromises the customer’s systems. Such attacks affect all users of the compromised software and can have widespread consequences for organizations and their infrastructure and data. Traditionally, organizations developed applications in-house and this enabled developers to gain control over the entire codebase. However, this model cannot meet today’s time-to-market demands. As the expectations and pace increase, it’s impossible to meet the demand with home grown software. So, there is a need for open source software contributed by software professionals around the world. Open source software facilitates rapid development and release cycles. It enables developers to incorporate ready-made components into their application so they can quickly release...