AI-powered IaC and Zero Trust drive smarter, resilient cloud operations

INDU MALHOTRA
VP, CLOUD INFRASTRUCTURE SERVICES – INDIA, CAPGEMINI

“Cloud platforms are well positioned to leverage AI to optimize infrastructure and enhance operational efficiency. At Capgemini, AI-assisted Infrastructure as Code (IaC) helps reduce the time to provision and manage environments, standardizes implementation patterns, and enables repeatable deployments, while accelerating detection and remediation of configuration drifts. Security is embedded and verified through improved prioritisation, context, and least-privilege enforcement, helping reduce attack surface without slowing delivery. AI also boosts developer and operations productivity through always-on assistants and by catching risky changes earlier in the delivery pipeline, including LLM-driven reviews of infrastructure pull requests within CI/CD.

Another area is AI log summarisation that turns high-volume, low-signal log streams into readable interpretations, highlighting anomalies, change, and capacity shifts, and triggering predictive insights-driven actions such as auto-healing and auto-scaling. Predictive FinOps ensures cost governance and real-time interventions to avoid bill shock. AI makes cloud operations proactive, predictive, and resilient through automated triage and remediation, translating into faster onboarding, more consistent and secure operations, and better change quality.

Zero Trust starts with the assumption that breaches can occur anywhere, so every access request must be continuously verified. This shifts the perimeter to identity, enforced through strong authentication, least-privilege access, IAM hardening, and micro-segmentation. Hybrid and multi-cloud adoption follows an incremental approach with discovery, unified identity, and ‘R’ strategies, supported by landing zones, Kubernetes, Terraform, GitOps, and consolidated monitoring to ensure portability and minimal disruption.”