
Srinivas Shekar, CEO and Co-founder, Pantherun Technologies:
“India handled more than 29.4 lakh cybersecurity incidents in 2025, while AI is now giving attackers the ability to automate reconnaissance, analyse code and chain together multi-stage attacks at a speed that previously required teams of skilled experts. At the same time, India has a serious engineering capacity problem: 78% of organisations report high demand for AI security engineers, while nearly a third struggle to recruit specialists in advanced cryptography and post-quantum security.
For engineers building connected systems, the challenge is therefore moving beyond securing the perimeter to designing security into the architecture itself. Encryption needs to evolve with the threat, particularly across critical infrastructure, defence, transportation and industrial networks where a compromised connection can have physical consequences. This Engineer’s Day, the engineering challenge before us is clear: build networks where security is inherent to how data moves, rather than another layer added after deployment.”
Vinod Narapa Reddy, Founder & CEO, CRMIT Solutions:
“Indian enterprises do not have a shortage of data. The bigger challenge is turning the data they already have into intelligence they can actually use. Data and analytics leaders in India estimate that 26% of their organisational data is siloed, inaccessible, or otherwise unusable, and 75% believe some of their most valuable business insights are trapped within this inaccessible data.
This is an engineering problem as much as a business one. Before an AI agent can recommend the next best action for a customer, identify an opportunity, or support a business decision, it needs access to accurate, connected, and contextual data across CRM, ERP, and other enterprise systems. Engineers today are therefore solving for much more than applications and infrastructure. They are building the data foundations that allow information sitting across an organisation to become useful intelligence at the point of decision. On Engineer’s Day, this is an important shift to recognise: the value of AI will ultimately be determined by how well we engineer the journey from fragmented data to informed decisions.”

