Open Source Summit India 2026

Cloud-native environments are growing in scale and complexity, making traditional security approaches difficult to sustain. Static rules and fragmented tooling create operational overhead and slow down both security and platform teams.
This session explores how AI-driven security agents can shift cloud-native protection from reactive alerting to proactive risk identification. By analyzing contextual signals across infrastructure, workloads, and configurations, AI can detect risk patterns early and support faster, smarter security decisions.
The talk also introduces Model Context Protocols as a mechanism for enabling controlled, auditable, least-privilege access to infrastructure tools and telemetry. This allows AI systems to operate safely within governance boundaries while maintaining strong visibility.
Attendees will gain practical insights into embedding AI into cloud-native security workflows, reducing friction for DevOps and platform teams, and strengthening secure-by-design architectures at scale.