AI-driven cloud optimisation and Zero-Trust security define #AI


ROHAN GUPTA
VP CLOUD, SECURITY & DEVOPS, R SYSTEMS

“After years of aggressive cloud adoption, the conversation with most clients in 2026 has shifted. It is less about moving to the cloud and more about making it work cost-effectively, securely, and manageable at scale across environments, especially as architectures become more complex. In this context, leveraging AI for cloud optimisation, the challenge is rarely a lack of data, but the absence of structured processes to act on. For most enterprises, AI is not about fully autonomous infrastructure yet, but about enabling disciplined, data-driven decision-making on an ongoing basis.

Alongside efficiency, security has become a parallel priority. From a security standpoint, zero-trust is often misunderstood as a product-led approach. At R Systems, we find that foundational gaps persist, such as unreviewed IAM policies and service accounts with excessive permissions. Our approach begins with a comprehensive access and posture audit, followed by a phased implementation: strengthening identity controls, introducing robust secret management, and progressively enforcing workload-level policies. In sectors like financial services and healthcare, accelerating regulatory timelines are making organizational alignment more straightforward due to clear compliance mandates. Increasing architectural complexity is also shaping cloud strategy. Our priority is to establish operational visibility through a unified observability layer, standardising infrastructure-as-code practices, and defining a cloud operating model that balances central oversight with autonomy. Ultimately, organisations making meaningful progress are those treating cloud as an ongoing operating discipline grounded in consistency and continuous optimisation.”



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National Cyber Security

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